Iq option r
Telepresence conference rooms use state-of-the art room designs, video cameras, displays, sound-systems and processors, coupled with high-to-very-high capacity bandwidth transmissions. Typical use of the various technologies described above include calling or conferencing on a one-on-one, one-to-many or many-to-many basis for personal, business, educational, deaf Video Relay Service and tele-medical, diagnostic and rehabilitative use or services. New services utilizing videocalling and videoconferencing, such as teachers and psychologists conducting online sessions, 87 personal videocalls to inmates incarcerated in penitentiaries, and videoconferencing to resolve airline engineering issues at maintenance facilities, are being created or evolving on an ongoing basis.
A telepresence robot also telerobotics is a robotically controlled and motorized video conferencing display to help give a better sense of remote physical presence for communication and collaboration in an office, home, school, etc. when one cannot be there in person. The robotic avatar device can move about and look around at the command of the remote person it represents. In science fiction literature, names commonly associated with videophones include telephonoscopetelephoteviewphonevidphonevidfoneand visiphone.
The first example was probably the cartoon Edison s Telephonoscope by George du Maurier in Punch 1878. 90 In many science fiction movies and TV programs that are set in the future, videophones were used as a primary method of communication. Latin-based translations of videophone in other languages include vidéophone FrenchBildtelefon Germanvideotelefono Italianboth videófono and videoteléfono Spanishboth beeldtelefoon and videofoon Dutchand videofonía Catalan.
One of the first movies where a videophone was used was Fritz Lang s Metropolis 1927. Other notable examples of videophones in popular culture include an iconic scene from the 1968 film 2001 A Space Odyssey set on Space Station V. The movie was released shortly before AT T began its efforts to commercialize its Picturephone Mod II service in several cities and depicts a videocall to Earth using an advanced AT T videophone which it predicts will cost 1.
70 for a two-minute call in 2001 a fraction of the company s real rates on Earth in 1968. Film director Stanley Kubrick strove for scientific accuracy, relying on interviews with scientists and engineers at Bell Labs in the United States. Larry Rabiner of Bell Labs, discussing videophone research in the documentary 2001 The Making of a Mythstated that in the mid- to late-1960s videophones.
captured the imagination of the public and. Kubrick and the people who reported to him. In one 2001 movie scene a central character, Dr. Heywood Floyd, calls home to contact his family, a social feature noted in the Making of a Myth. Floyd talks with and views his daughter from a space station in orbit above the Earth, discussing what type of present he should bring home for her. 92 unreliable source 93 94. A portable videophone is also featured prominently in the 2009 science fiction movie Moonwhere the story s protagonist, Sam Bell, also calls home as well to communicate with loved ones.
Bell, the lone occupant of a mining station on the far side of the Earth s moon, finally succeeds in making his videocall after an extended work period, but becomes traumatized when viewing his daughter. Other earlier examples of videophones in popular culture included a videophone that was featured in the Warner Bros. cartoon, Plane Daffyin which the female spy Hatta Mari used a videophone to communicate with Adolf Hitler 1944as well as a device with the same functionality has been used by the comic strip character Dick Tracywho often used his 2-way wrist TV to communicate with police headquarters.
96 1964 1977. By the early 2010s videotelephony and videophones had become commonplace and unremarkable in various forms of media, in part due to their real and ubiquitous presence in common electronic devices and laptop computers. Additionally, TV programming increasingly utilized videophones to interview subjects of interest and to present live coverage by news correspondents, via the Internet or by satellite links. In the mass market media, the popular U. TV talk show hostess Oprah Winfrey incorporated videotelephony into her TV program on a regular basis from May 21, 2009, with an initial episode called Where the Skype Are You.as part of a marketing agreement with the Internet telecommunication company Skype.
Additionally, videophones have been featured in. Lisa s Weddingan episode of The Simpsons which depicted a Picturephone 1995. Other names for videophone that have been used in English are Viewphone the British Telecom equivalent to AT T s Picturephone88 and visiophonea common French translation that has also crept into limited English usage, as well as over twenty less common names and expressions. 99 a Beyoncé Knowles pop single and music video called Video Phone from her album I am.
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Watson is a question-answering computer system capable of answering questions posed in natural language, 2 developed in IBM s DeepQA project by a research team led by principal investigator David Ferrucci. against champions Brad Rutter and Ken Jennings, 4 7 winning the first place prize of 1 million. 6 and, in 2011, the Watson computer system competed on Jeopardy.
In February 2013, IBM announced that Watson software system s first commercial application would be for utilization management decisions in lung cancer treatment at Memorial Sloan Kettering Cancer Center, New York City, in conjunction with WellPoint now Anthem. 9 In 2013, Manoj Saxena, IBM Watson s business chief said that 90 of nurses in the field who use Watson now follow its guidance. 1 Description 1. Watson computer. 1 Software 1. 2 Hardware 1. 1 Comparison with human players 3 History 3.
3 Data 2 Operation 2. 1 Development 3. 1 Preparation 3. 2 Practice match 3. 3 First match 3. 4 Second match 3. 5 Final outcome 3. 6 Philosophy 3. 7 Match against members of the United States Congress 4 Current and future applications 4. 1 Healthcare 4. 2 IBM Watson Group 4. 4 Building codes 4. 5 Teaching assistant 4. 6 Weather forecasting 4. The computer system was initially developed to answer questions on the quiz show Jeopardy.
9 Advertising 5 See also 6 References 7 Further reading 8 External links 8. The key difference between QA technology and document search is that document search takes a keyword query and returns a list of documents, ranked in order of relevance to the query often based on popularity and page rankingwhile QA technology takes a question expressed in natural language, seeks to understand it in much greater detail, and returns a precise answer to the question.
8 Tax preparation 4. When created, IBM stated that, more than 100 different techniques are used to analyze natural language, identify sources, find and generate hypotheses, find and score evidence, and merge and rank hypotheses. In recent years, the Watson capabilities have been extended and the way in which Watson works has been changed to take advantage of new deployment models Watson on IBM Cloud and evolved machine learning capabilities and optimised hardware available to developers and researchers.
It is no longer purely a question answering QA computing system designed from Q A pairs but can now seehearreadtalktasteinterpretlearn and recommend. The system was written in various languages, including Java, Cand Prolog, and runs on the SUSE Linux Enterprise Server 11 operating system using the Apache Hadoop framework to provide distributed computing. 2 Watson employs a cluster of ninety IBM Power 750 servers, each of which uses a 3.
5 GHz POWER7 eight-core processor, with four threads per core. According to John Rennie, Watson can process 500 gigabytes, the equivalent of a million books, per second. 18 IBM s master inventor and senior consultant, Tony Pearson, estimated Watson s hardware cost at about three million dollars. In total, the system has 2,880 POWER7 processor threads and 16 terabytes of RAM. 20 According to Rennie, all content was stored in Watson s RAM for the Jeopardy game because data stored on hard drives would be too slow to be competitive with human Jeopardy champions.
The sources of information for Watson include encyclopedias, dictionaries, thesauri, newswire articles and literary works. Watson also used databases, taxonomies and ontologies including DBPedia, WordNet and Yago. 21 The IBM team provided Watson with millions of documents, including dictionaries, encyclopedias and other reference material that it could use to build its knowledge.
clues sounded just like mine. That machine zeroes in on keywords in a clue then combs its memory in Watson s case, a 15-terabyte databank of human knowledge for clusters of associations with those words. The computer s techniques for unravelling Jeopardy. And when it feels sure enough, it decides to buzz. This is all an instant, intuitive process for a human Jeopardy. player, but I felt convinced that under the hood my brain was doing more or less the same thing.
It rigorously checks the top hits against all the contextual information it can muster the category name; the kind of answer being sought; the time, place, and gender hinted at in the clue; and so on. Watson parses questions into different keywords and sentence fragments in order to find statistically related phrases. 22 Watson s main innovation was not in the creation of a new algorithm for this operation but rather its ability to quickly execute hundreds of proven language analysis algorithms simultaneously.
22 24 The more algorithms that find the same answer independently the more likely Watson is to be correct. 22 Once Watson has a small number of potential solutions, it is able to check against its database to ascertain whether the solution makes sense or not. Comparison with human players Edit. Watson s iq option r working principle is to parse keywords in a clue while searching for related terms as responses.
This gives Watson some advantages and disadvantages compared with human Jeopardy. 25 Watson has deficiencies in understanding the contexts of the clues. As a result, human players usually generate responses faster than Watson, especially to short clues. 22 Watson has consistently better reaction time on the buzzer once it has generated a response, and is immune to human players psychological tactics, such as jumping between categories on every clue. 22 Watson s programming prevents it from using the popular tactic of buzzing before it is sure of its response.
In a sequence of 20 mock games of Jeopardyhuman participants were able to use the average six to seven seconds that Watson needed to hear the clue and decide whether to signal for responding. 22 During that time, Watson also has to evaluate the response and determine whether it is sufficiently confident in the result to signal. 22 Part of the system used to win the Jeopardy. contest was the electronic circuitry that receives the ready signal and then examined whether Watson s confidence level was great enough to activate the buzzer.
Given the speed of this circuitry compared to the speed of human reaction times, Watson s reaction time was faster than the human contestants except when the human anticipated instead of reacted to the ready signal. s question format. 22 Watson s voice was synthesized from recordings that actor Jeff Woodman made for an IBM text-to-speech program in 2004. The Jeopardy. staff used different means to notify Watson and the human players when to buzz, 27 which was critical in many rounds.
26 The humans were notified by a light, which took them tenths of a second to perceive. 29 30 Watson was notified by an electronic signal and could activate the buzzer within about eight milliseconds. 31 The humans tried to compensate for the perception delay by anticipating the light, 32 but the variation in the anticipation time was generally too great to fall within Watson s response time. 26 Watson did not attempt to anticipate the notification signal.
Since Deep Blue s victory over Garry Kasparov in chess in 1997, IBM had been on the hunt for iq option r new challenge. 27 After signaling, Watson speaks with an electronic voice and gives the responses in Jeopardy. In 2004, IBM Research manager Charles Lickel, over dinner with coworkers, noticed that the restaurant they were in had fallen silent. He soon discovered the cause of this evening hiatus Ken Jennings, who was then in the middle of his successful 74-game run on Jeopardy.
Nearly the entire restaurant had piled toward the televisions, mid-meal, to watch Jeopardy. Intrigued by the quiz show as a possible challenge for IBM, Lickel passed the idea on, and in 2005, IBM Research executive Paul Horn supported Lickel, pushing for someone in his department to take up the challenge of playing Jeopardy. with an IBM system. 19 Its Linpack performance stands at 80 TeraFLOPs, which is about half as fast as the cut-off line for the Top 500 Supercomputers list.
Though he initially had trouble finding any research staff willing to take on what looked to be a much more complex challenge than the wordless game of chess, eventually David Ferrucci took him up on the offer. 33 In competitions managed by the United States government, Watson s predecessor, a system named Piquant, was usually able to respond correctly to only about 35 of clues and often required several minutes to respond.Watson would need to respond in no more than a few seconds, and at that time, the problems posed by the game show were deemed to be impossible to solve.
In initial tests run during 2006 by David Ferrucci, the senior manager of IBM s Semantic Analysis and Integration department, Watson was given 500 clues from past Jeopardy. While the best real-life competitors buzzed in half the time and responded correctly to as many as 95 of clues, Watson s first pass could get only about 15 correct.
During 2007, the IBM team was given three to five years and a staff of 15 people to solve the problems. Kelly III succeeded Paul Horn as head of IBM Research in 2007. 37 InformationWeek described Kelly as the father of Watson and credited him for encouraging the system to compete against humans on Jeopardy. 34 35 36 To compete successfully on Jeopardy.
22 By February 2010, Watson could beat human Jeopardy. 38 By 2008, the developers had advanced Watson such that it could compete with Jeopardy. contestants on a regular basis. During the game, Watson had access to 200 million pages of structured and unstructured content consuming four terabytes of disk storage 14 including the full text of the 2011 edition of Wikipedia, 40 but was not connected to the Internet. 41 22 For each clue, Watson s three most probable responses were displayed on the television screen.
Watson consistently outperformed its human opponents on the game s signaling device, but had trouble in a few categories, notably those having short clues containing only a few words. In 2008, IBM representatives communicated with Jeopardy. executive producer Harry Friedman about the possibility of having Watson compete against Ken Jennings and Brad Rutter, two of the most successful contestants on the show, and the program s producers agreed.
22 43 Watson s differences with human players had generated conflicts between IBM and Jeopardy. The system is workload-optimized, integrating massively parallel POWER7 processors and built on IBM s DeepQA technology, 17 which it uses to generate hypotheses, gather massive evidence, and analyze data. staff during the planning of the competition. 25 IBM repeatedly expressed concerns that the show s writers would exploit Watson s cognitive deficiencies when writing the clues, thereby turning the game into a Turing test.
To alleviate that claim, a third party randomly picked the clues from previously written shows that were never broadcast. 25 Jeopardy. staff also showed concerns over Watson s reaction time on the buzzer. Originally Watson signalled electronically, but show staff requested that it press a button physically, as the human contestants would. 44 Even with a robotic finger pressing the buzzer, Watson remained faster than its human competitors. Ken Jennings noted, If you re trying to win on the show, the buzzer is alland that Watson can knock out a microsecond-precise buzz every single time with little or no variation.
Human reflexes can t compete with computer circuits in this regard. 26 32 45 Stephen Baker, a journalist who recorded Watson s development in his book Final Jeopardyreported that the conflict between IBM and Jeopardy. became so serious in May 2010 that the competition was almost canceled. Human players, including former Jeopardy. 25 As part of the preparation, IBM constructed a mock set in a conference room at one of its technology sites to model the one used on Jeopardy. contestants, also participated in mock games against Watson with Todd Alan Crain of The Onion playing host.
22 About 100 test matches were conducted with Watson winning 65 of the games. To provide a physical presence in the televised games, Watson was represented by an avatar of a globe, inspired by the IBM smarter planet symbol. Jennings described the computer s avatar as a glowing blue ball criss-crossed by threads of thought 42 threads, to be precise23 and stated that the number of thought threads in the avatar was an in-joke referencing the significance of the number 42 in Douglas Adams Hitchhiker s Guide to the Galaxy.
A practice match was recorded on January 13, 2011, and the official matches were recorded on January 14, 2011. 23 Joshua Davis, the artist who designed the avatar for the project, explained to Stephen Baker that there are 36 triggerable states that Watson was able to use throughout the game to show its confidence in responding to a clue correctly; he had hoped to be able to find forty-two, to add another level to the Hitchhiker s Guide reference, but he was unable to pinpoint enough game states.
Practice match Edit. All participants maintained secrecy about the outcome until the match was broadcast in February. In a practice match before the press on January 13, 2011, Watson won a 15-question round against Ken Jennings and Brad Rutter with a score of 4,400 to Jennings s 3,400 and Rutter s 1,200, though Jennings and Watson were tied before the final 1,000 question. First match Edit. None of the three players responded incorrectly to a clue.
The first round was broadcast February 14, 2011, and the second round, on February 15, 2011. The right to choose the first category had been determined by a draw won by Rutter. 50 Watson, represented by a computer monitor display and artificial voice, responded correctly to the second clue and then selected the fourth clue of the first category, a deliberate strategy to find the Daily Double as quickly as possible.
51 Watson s guess at the Daily Double location was correct. At the end of the first round, Watson was tied with Rutter at 5,000; Jennings had 2,000. Watson s performance was characterized by some quirks. In one instance, Watson repeated a reworded version of an incorrect response offered by Jennings. Jennings said What are the 20s. in reference to the 1920s. Then Watson said What is 1920s. Because Watson could not recognize other contestants responses, it did not know that Jennings had already given the same response.
after Jennings incorrectly responded What is he only had one hand. In another instance, Watson was initially given credit for a response of What is a leg. to a clue about George Eyser the correct response was, What is he s missing a leg. Because Watson, unlike a human, could not have been responding to Jennings s mistake, it was decided that this response was incorrect. 52 Watson also demonstrated complex wagering strategies on the Daily Doubles, with one bet at 6,435 and another at 1,246.
53 Gerald Tesauro, one of the IBM researchers who worked on Watson, explained that Watson s wagers were based on its confidence level for the category and a complex regression model called the Game State Evaluator. Watson took a commanding lead in Double Jeopardy.correctly responding to both Daily Doubles. Watson responded to the second Daily Double correctly with a 32 confidence score. However during the Final Jeopardy. The broadcast version of the episode was edited to omit Trebek s original acceptance of Watson s response.
round, Watson was the only contestant to miss the clue in the category U. Cities Its largest airport was named for a World War II hero; its second largest, for a World War II battle. Rutter and Jennings gave the correct response of Chicago, but Watson s response was What is Toronto. 53 55 56 Ferrucci offered reasons why Watson would appear to have guessed a Canadian city categories only weakly suggest the type of response desired, the phrase U.
with five question marks appended indicating a lack of confidence. city did not appear in the question, there are cities named Toronto in the U.and Toronto in Ontario has an American League baseball team. Chris Welty, who also worked on Watson, suggested that it may not have been able to correctly parse the second part of the clue, its second largest, for a World War II battle which was not a standalone clause despite it following a semicolon, and required context to understand that it was referring to a second-largest airport.
58 Eric Nyberg, a professor at Carnegie Mellon University and a member of the development team, stated that the error occurred because Watson does not possess the comparative knowledge to discard that potential response as not viable. 56 Although not displayed to the audience as with non-Final Jeopardy. questions, Watson s second choice was Chicago. Watson wagered only 947 on the question. The game ended with Jennings with 4,800, Rutter with 10,400, and Watson with 35,734.
Second match Edit. During the introduction, Trebek a Canadian native joked that he had learned Toronto was a U. city, and Watson s error in the first match prompted an IBM engineer to wear a Toronto Blue Jays jacket to the recording of the second match. In the first round, Jennings was finally able to choose a Daily Double clue, 60 while Watson responded to one Daily Double clue incorrectly for the first time in the Double Jeopardy.
61 After the first round, Watson placed second for the first time in the competition after Rutter and Jennings were briefly successful in increasing their dollar values before Watson could respond. 61 62 Nonetheless, the final result ended with a victory for Watson with a score of 77,147, besting Jennings who scored 24,000 and Rutter who scored 21,600. Final outcome Edit. The prizes for the competition were 1 million for first place Watson300,000 for second place Jenningsand 200,000 for third place Rutter.
As promised, IBM donated 100 of Watson s winnings to charity, with 50 of those winnings going to World Vision and 50 going to World Community Grid. 64 Similarly, Jennings and Rutter donated 50 of their winnings to their respective charities. In acknowledgment of IBM and Watson s achievements, Jennings made an additional remark in his Final Jeopardy. response I for one welcome our new computer overlordsechoing a similar meme to the episode Deep Space Homer on The Simpsonsin which TV news presenter Kent Brockman speaks of welcoming our new insect overlords.
66 67 Jennings later wrote an article for Slatein which he stated. IBM has bragged to the media that Watson s question-answering skills are good for more than annoying Alex Trebek. The company sees a future in which fields like medical diagnosis, business analytics, and tech support are automated by question-answering software like Watson.
Just as factory jobs were eliminated in the 20th century by new assembly-line robots, Brad and I were the first knowledge-industry workers put out of work by the new generation of thinking machines. Quiz show contestant may be the first job made redundant by Watson, but I m sure it won t be the last. Philosopher John Searle argues that Watson despite impressive capabilities cannot actually think. 68 Drawing on his Chinese room thought experiment, Searle claims that Watson, like other computational machines, is capable only of manipulating symbols, but has no ability to understand the meaning of those symbols; however, Searle s experiment has its detractors.
Match against members of the United States Congress Edit. On February 28, 2011, Watson played an untelevised exhibition match of Jeopardy. against members of the United States House of Representatives. In the first round, Rush D. D-NJ, a former Jeopardy. contestantwho was challenging the computer with Bill Cassidy R-LA, later Senator from Louisianaled with Watson in second place.
However, combining the scores between all matches, the final score was 40,300 for Watson and 30,000 for the congressional players combined. IBM s Christopher Padilla said of the match, The technology behind Watson represents a major advancement in computing. In the data-intensive environment of government, this type of technology can help organizations make better decisions and improve how government helps its citizens.
According to IBM, The goal is to have computers start to interact in natural human terms across a range of applications and processes, understanding the questions that humans ask and providing answers that humans can understand and justify. 39 It has been suggested by Robert C. Weber, IBM s general counsel, that Watson may be used for legal research. 71 The company also intends to use Watson in other information-intensive fields, such as telecommunications, financial services, and government.
Watson is based on commercially available IBM Power 750 servers that have been marketed since February 2010. IBM also intends to market the DeepQA software to large corporations, with a price in the millions of dollars, reflecting the 1 million needed to acquire a server that meets the minimum system requirement to operate Watson.
IBM expects the price to decrease substantially within a decade as the technology improves. Commentator Rick Merritt said that there s another really important reason why it is strategic for IBM to be seen very broadly by the American public as a company that can tackle tough computer problems. A big slice of IBM s profit comes from selling to the U. government some of the biggest, most expensive systems in the world. In 2013, it was reported that three companies were working with IBM to create apps embedded with Watson technology.
Fluid is developing an app for retailers, one called The North Facewhich is designed to provide advice to online shoppers. Welltok is developing an app designed to give people advice on ways to engage in activities to improve their health. MD Buyline is developing an app for the purpose of advising medical institutions on equipment procurement decisions. In November 2013, IBM announced it would make Watson s API available to software application providers, enabling them to build apps and services that are embedded in Watson s capabilities.
To build out its base of partners who create applications on the Watson platform, IBM consults with a network of venture capital firms, which advise IBM on which of their portfolio companies may be a logical fit for what IBM calls the Watson Ecosystem. Thus far, roughly 800 organizations and individuals have signed up with IBM, with interest in creating applications that could use the Watson platform. On January 30, 2013, it was announced that Rensselaer Polytechnic Institute would receive a successor version of Watson, which would be housed at the Institute s technology park and be available to researchers and students.
Both Toronto and Chicago were well below Watson s confidence threshold, at 14 and 11 respectively. 77 By summer 2013, Rensselaer had become the first university to receive a Watson computer. On February 6, 2014, it was reported that IBM plans to invest 100 million in a 10-year initiative to use Watson and other IBM technologies to help countries in Africa address development problems, beginning with healthcare and education. On June 3, 2014, three new Watson Ecosystem partners were chosen from more than 400 business concepts submitted by teams spanning 18 industries from 43 countries.
These bright and enterprising organizations have discovered innovative ways to apply Watson that can deliver demonstrable business benefitssaid Steve Gold, vice president, IBM Watson Group. The winners were Majestyk Apps with their adaptive educational platform, FANG Friendly Anthropomorphic Networked Genome ; 80 81 Red Ant with their retail sales trainer; 82 and GenieMD 83 with their medical recommendation service.
Watson has been integrated with databases including Bon Appétit magazine to perform a recipe generating platform. On July 9, 2014, Genesys Telecommunications Laboratories announced plans to integrate Watson to improve their customer experience platform, citing the sheer volume of customer data to analyze is staggering. The use of the artificial intelligence of Watson has also been found in the hospitality industry.
GoMoment uses Watson for its Rev1 app, which gives hotel staff a way to quickly respond to questions from guests. 87 Arria NLG has built an app that helps energy companies stay within regulatory guidelines, making it easier for managers to make sense of thousands of pages of legal and technical jargon. OmniEarth, Inc. uses Watson computer vision services to analyze satellite and aerial imagery, along with other municipal data, to infer water usage on a property-by-property basis, helping water districts in drought-stricken California improve water conservation efforts.
In September 2016, Condé Nast has started using IBM s Watson to help build and strategize social influencer campaigns for brands. Using software built by IBM and Influential, Condé Nast s clients will be able to know which influencer s demographics, personality traits and more best align with a marketer and the audience it is targeting. In February 2017, Rare Carat, a New York City-based startup and e-commerce platform for buying diamonds and diamond rings, introduced an IBM Watson-powered artificial intelligence chatbot called Rocky to assist novice iq option r buyers through the daunting process of purchasing a diamond.
As part of the IBM Global Entrepreneur Program, Rare Carat received the assistance of IBM in the development of the Rocky Chat Bot. Watson uses IBM s DeepQA software and the Apache UIMA Unstructured Information Management Architecture framework implementation. 90 91 92 In May 2017, IBM partnered with the Pebble Beach Company to use Watson as a concierge. The mobile app was designed by IBM iX and hosted on the IBM Cloud. 93 Watson s artificial intelligence was added to an app developed by Pebble Beach and was used to guide visitors around the resort.
Watson is being used by Decibel, a music discovery startup, in its app MusicGeek which uses the supercomputer to provide music recommendations to its users. It uses Watson s Conversation applications programming interface. In November 2017, in Mexico City, the Experience Voices of Another Time was opened at the National Museum of Anthropology using IBM Watson as an alternative to visiting a museum. Healthcare Edit. In healthcare, Watson s natural language, hypothesis generation, and evidence-based learning capabilities are being investigated to see how Watson may contribute to clinical decision support systems and the increase in artificial intelligence in healthcare for use by medical professionals.
95 Despite being developed and marketed as a diagnosis and treatment advisorWatson has never been actually involved in the medical diagnosis process, only in assisting with identifying treatment options for patients who have already been diagnosed. 95 To aid physicians in the treatment of their patients, once a physician has posed a query to the system describing symptoms and other related factors, Watson first parses the input to identify the most important pieces of information; then mines patient data to find facts relevant to the patient s medical and hereditary history; then examines available data sources to form and test hypotheses; 95 and finally provides a list of individualized, confidence-scored recommendations.
96 The sources of data that Watson uses for analysis can include treatment guidelines, electronic medical record data, notes from healthcare providers, research materials, clinical studies, journal articles and patient information. In February 2011, it was announced that IBM would be partnering with Nuance Communications for a research project to develop a commercial product during the next 18 to 24 months, designed to exploit Watson s clinical decision support capabilities.
Physicians at Columbia University would help to identify critical issues in the practice of medicine where the system s technology may be able to contribute, and physicians at the University of Maryland would work to identify the best way that a technology like Watson could interact with medical practitioners to provide the maximum assistance.
In September 2011, IBM and WellPoint now Anthem announced a partnership to utilize Watson s data crunching capability to help suggest treatment options to physicians. 99 Then, in February 2013, IBM and WellPoint gave Watson its first commercial application, for utilization management decisions in lung cancer treatment at Memorial Sloan Kettering Cancer Center. IBM announced a partnership with Cleveland Clinic in October 2012. The company has sent Watson to the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, where it will increase its health expertise and assist medical professionals in treating patients.
The medical facility will utilize Watson s ability to store and process large quantities of information to help speed up and increase the accuracy of the treatment process. Cleveland Clinic s collaboration with IBM is exciting because it offers us the opportunity to teach Watson to think in ways that have the potential to make it a powerful tool in medicinesaid C.
Martin Harris, MD, chief information officer of Cleveland Clinic. In 2013, IBM and MD Anderson Cancer Center began a pilot program to further the center s mission to eradicate cancer. 101 102 However, after spending 62 million, the project did not meet its goals and it has been stopped. On February 8, 2013, IBM announced that oncologists at the Maine Center for Cancer Medicine and Westmed Medical Group in New York have started to test the Watson supercomputer system in an effort to recommend treatment for lung cancer.
On July 29, 2016, IBM and Manipal Hospitals 105 106 107 a leading hospital chain in India announced the launch of IBM Watson for Oncology, for cancer patients. This product provides information and insights to physicians and cancer patients to help them identify personalized, evidence-based cancer care options. Manipal Hospitals is the second hospital 108 in the world to adopt this technology and first in the world to offer it to patients online as an expert second opinion through their website.
On January 7, 2017, IBM and Fukoku Mutual Life Insurance entered into a contract for IBM to deliver analysis to compensation payouts via its IBM Watson Explorer AI, this resulted in the loss of 34 jobs and the company said it would speed up compensation payout analysis via analysing claims and medical record and increase productivity by 30.
Several startups in the healthcare space have been effectively using seven business model archetypes to take solutions based on IBM Watson to the marketplace. 105 109 Manipal discontinued this contract in December 2018. The company also said it would save 140m in running costs. These archetypes depends on the value generate for the target user e. patient focus vs. healthcare provider and payer focus and value capturing mechanisms e. providing information or connecting stakeholders. IBM Watson Group Edit.
On January 9, 2014, IBM announced it was creating a business unit around Watson, led by senior vice president Michael Rhodin. 112 IBM Watson Group will have headquarters in New York s Silicon Alley and will employ 2,000 people. IBM has invested 1 billion to get the division going. Watson Group will develop three new cloud-delivered services Watson Discovery Advisor, Watson Engagement Advisor, and Watson Explorer. Watson Discovery Advisor will focus on research and development projects in pharmaceutical industry, publishing, and biotechnology, Watson Engagement Advisor will focus on self-service applications using insights on the basis of natural language questions posed by business users, and Watson Explorer will focus on helping enterprise users uncover and share data-driven insights based on federated search more easily.
112 The company is also launching a 100 million venture fund to spur application development for cognitive applications. According to IBM, the cloud-delivered enterprise-ready Watson has seen its speed increase 24 times over a 2,300 percent improvement in performance and its physical size shrank by 90 percent from the size of a master bedroom to three stacked pizza boxes. 112 IBM CEO Virginia Rometty said she wants Watson to generate 10 billion in annual revenue within ten years. 113 On 20 September 2017, Anantha Chandrakasan, dean of the MIT School of Engineering announced Antonio Torralba as the MIT director of the MIT-IBM Watson AI Lab.
114 In March 2018, IBM s CEO Ginni Rometty proposed Watson s Law, the use of and application of business, smart cities, consumer applications and life in general. Chatbot Edit. Watson is being used via IBM partner program as a chatbot to provide the conversation for children s toys. Building codes Edit. In 2015, the engineering firm ENGEO created an online service via the IBM partner program named GoFetchCode.
Teaching assistant Edit. GoFetchCode applies Watson s natural language processing and question-answering capabilities to the International Code Council s model building codes. IBM Watson is being used for several projects relating to education, and has entered partnerships with Pearson Education, Blackboard, Sesame Workshop and Apple. In its partnership with Pearson, Watson is being made available inside electronic text books to provide natural language, one-on-one tutoring to students on the reading material.
As an individual using the free Watson APIs available to the public, Ashok Goel, a professor at Georgia Tech, used Watson to create a virtual teaching assistant to assist students in his class. 121 Initially, Goel did not reveal the nature of Jillwhich was created with the help of a few students and IBM. Jill answered questions where it had a 97 certainty of an accurate answer, with the remainder being answered by human assistants.
The research group of Sabri Pllana developed an assistant for learning parallel programming using the IBM Watson. 123 A survey with a number of novice parallel programmers at the Linnaeus University indicated that such assistant will be welcome by students that learn parallel programming. Weather forecasting Edit. In August 2016, IBM announced it would be using Watson for weather forecasting.
124 Specifically, the company announced they would use Watson to analyze data from over 200,000 Weather Underground personal weather stations, and data from other sources, as a part of project Deep Thunder. Fashion Edit. The dress lit up in different colours based on the sentiment of Tweets about the dress. IBM Watson together with Marchesa designed a dress that changed the colour of the fabric depending on the mood of the audience.
Tweets were passed through a Watson tone analyzer and then sent back to a small computer inside the waist of the dress. Tax preparation Edit. In September 2017, IBM announced that with its acquisition of The Weather Company s advertising sales division, and a partnership with advertising neural network Cognitiv, Watson will provide AI-powered advertising solutions. On February 5 6, 2017, tax preparation company H R Block began nationwide use of a Watson-based program. The new StudioRack is now available for free.
Waves ships Enhanced StudioRack Plugin Chainer - New Macros, Parallel Processing Racks, and Multiband Racks. As before, you can use StudioRack to create entire plugin chains up to eight plugins per StudioRack chain, each chain taking up just one DAW insert. Waves Audio has released a new enhanced version of the StudioRack plugin chainer now with added macros, parallel processing racks, multiband racks, and more new features. The new StudioRack also adds new features.
Your chains can be saved for instant recall, and loaded up in any DAW, making it super-easy to move your mixes between different DAWs. Eight macros per chain You can now combine multiple parameters from different plugins in your chain into a single macro up to eight macros per chain. By having each macro control several audio processors at once, you can essentially create your own custom plugins, with your own functions and controls.
Parallel processing racks Split any chain at any point into up to eight parallel processing mono, stereo or M S racks, for easy parallel processing without complex routing. Multiband split racks Turn any Waves plugin into a multiband processor, by splitting your signal from any point in any chain into multiband racks with adjustable crossover points.
StudioRack can be used natively, using your computer s CPU for plugin processing; or in SoundGrid mode, which offloads all plugin processing to a SoundGrid server, enabling you to mix with more plugins without worrying about running out of Native CPU power. The new StudioRack ships with over 170 presets for entire plugin chains, including chain presets from GRAMMY -winning producer engineers Tony Maserati BeyoncéDave Darlington Sting and more.
The new Waves StudioRack is now compatible with the latest V11 version of all Waves plugins. Waves StudioRack is now available for free download. StudioRack s new features also include easy plugin search, to instantly find the plugins you need; and floating plugin windows, to view and control multiple plugins simultaneously. The new Waves StudioRack is a completely re-imagined version of Waves plugin chainer, placing an entirely new level of control in the hands of producers and mixers.
Everything to know about setting up your residential gateway. What Is a Router and How Does It Work. The router used in home and small networks is more accurately called a residential gateway, but you ll never see these devices called that. What Is a Router For. A router is the first line of security from intrusion into a network. Enabling the highest level of security on the router turns on things like the firewall, and is the best way to keep your computer system and information safe from attack.
Routers contain software called firmware that should be updated as released by the router manufacturer. Most routers connect to other network devices only with network cables and don t require drivers to operate in Windows or other operating systems. However, routers that connect to a computer with a USB or FireWire typically require drivers to operate correctly. The router, at least the common home network device that is usually called a router, is the piece of network hardware that allows communication between your local home network like your personal computers and other connected devices and the internet.
Most routers are manufactured by companies like Linksys, 3Com, Belkin, D-Link, Motorola, TRENDnet, and Cisco, but there are many others. Routers come in many shapes and sizes, as you can see below. How Routers Work. Routers connect a modem like a fiber, cable, or DSL modem to other devices to allow communication between those devices and the internet. Most routers, including wireless routers, usually feature several network ports to connect numerous devices to the internet simultaneously.
A router typically connects physically, using a network cable, to the modem via the internet or WAN port and then physically, again through a network cable, to the network interface card in whatever wired network devices you have. A wireless router can connect using various wireless standards to devices that also support the particular standard used.
Although these devices are used in the same context, modems and routers are different devices, though there are cable modem router combos. The IP address assigned to the local network connection is a private IP address. The IP address assigned to the WAN or internet connection is a public IP address. The private IP address assigned to a router is usually the default gateway for the various devices on the network.
Wireless routers, and wired routers with multiple connections, also act as simple network switches allowing the devices to communicate with each other. For example, several computers connected to a router can be configured to share files and printers among each other. Routers are like small computers, with a CPU and memory to deal with incoming and outgoing data. Different software, such as DD-WRT, can be loaded on the router, much like an operating system on a computer.
A router operates on the Network layer layer 3 of the OSI model and uses routing tables to understand where traffic is coming from and where it should go. There will most likely come a time where you need to make changes to how your network works. Managing a Router. This is done by accessing the software on the router.
A few reasons you need to log in to your router might be if you want to. Change the router s login password Encrypt the network Set up port forwarding rules Change the Wi-Fi password Pick a different wireless network name Update the firmware on the router. Some other common tasks related to managing a router involve rebooting the router and completely resetting the router s software. Buying a Router. There are several things to consider before buying a router, such as how fast it needs to be to support your internet speed and devices, as well as its power to ensure that all your devices can receive internet access.
If your house is small, you might be able to get away with one router, whereas larger homes or businesses with several rooms might be better off with a mesh network or a Wi-Fi extender. For example, maybe you re buying a Wi-Fi router to serve lots of devices, like gaming consoles, computers, tablets, and phones. See these lists if you re having trouble deciding on a new router. Long-Range Routers Secure Routers Routers for Under 50 Budget Routers DD-WRT Routers Gaming Routers Travel Routers Parental Control Routers VPN Routers.
Mobile Wi-Fi hotspots are similar to routers because they connect multiple devices to the same internet connection. Routers often act as the DHCP servers in small networks, issuing unique IP addresses. Software Online. By Tech Learning 03 August 2015. ABC-CLIO Solutions recently added more than 250 Course Essentials video learning modules to its American Government database.
The American Government database explores all three branches of government, how the government was founded, domestic and foreign policy, political and economic systems, and state and local government. The modules are professionally produced and include supplemental resources that can be used to expand students understanding of cross-curricular topics. Adobe has released an update to its Creative Cloud tools and services, including Photoshop CC, Illustrator CC, Premiere Pro CC and InDesign CC, as well as new connected mobile apps for iOS and Android.
The company also introduced Adobe Stock, a stock content service that is accessible directly from the Creative Cloud interface that creatives use daily. In addition, Adobe announced an expanded Creative Cloud enterprise offering that includes enterprise-grade administration, security, collaboration and publishing services for large organizations.
At the heart of Creative Cloud is Adobe CreativeSync, a technology that syncs assets such as files, photos, fonts, vector graphics, brushes, colors, settings, metadata and more. ALMA STANDARDS TRACKER AND INTEGRATION WITH GOOGLE CLASSROOM API www. Alma Technologies, Inc.provider of a holistic student engagement platform for K-12 schools, now features a standards tracking tool that helps educators to more effectively teach to proficiency against any set of academic standards.
Through an intuitive, color-coded interface, educators can easily and quickly plan and track the frequency of lessons taught and assessed against each standard, as well as measure proficiency levels by class at anytime, from anywhere. Alma has also been selected to integrate with Google Classroom API during its preview stage. Now, educators can use the Google Classroom software to which they are accustomed, while ensuring their updates are automatically synced with Alma.
This integration enables schools and districts to have a robust, integrated, and intuitive education management software that scales from the classroom up to the district level. Apperson Inc.a provider of assessment tools and software solutions that are designed to assess performance and measure success in students while streamlining workflow for educators, has partnered with Open Circle, a provider of evidence-based curriculum and professional development for social and emotional learning in elementary schools.
Apperson will align the skills from its Evo Social-Emotional Learning SEL assessment with skills and practices from the Open Circle Curriculum, enabling educators to measure and track outcomes from implementing Open Circle programming, as well as refine and target Open Circle instruction based on identified student strengths and needs. Breaking the Barrier, Inc. announced the release of the 2015 Breaking the Spanish Barrier series of iBook textbooks.
The updated Level 1, 2, and 3 editions have been enhanced with more audio, video, and interactive content to engage students. Breaking the Spanish Barrier uses grammar and rich vocabulary in the context of history, popular culture, and current events to build knowledge and language fluency. Extensive use of audio featuring native speakers provides more confidence-building support for learners who listen to and imitate their pronunciation. BrightBytes added a Leadership module to Clarity, a platform that provides solutions to help educators make data-driven decisions for student learning.
Created in partnership with McREL International, a nonprofit education research and development organization, the module empowers educational organizations to grow and develop leaders and track the progress of their improvement initiatives. The Leadership module is based on McREL s research about the leadership practices that have the largest impact on student outcomes. The module provides personalized, actionable analysis for organizational teams in the areas of purposeful community, managing change, and leadership focus.
CWIST, a Web platform supporting learning projects for students ages 3 and up, is making its content platform and education experts available to companies who want to turn their content into custom incentivized lessons. Its newest platform partner, Famulus Robots, offers step-by-step multimedia lessons using various robots to teach science and engineering concepts. Famulus offers multiple robots designed for education and special needs, as well as head mounted displays. Students in middle school can learn robotics programming with lessons powered by the CWIST platform.
WHAT S NEW NEW TOOLS FOR SCHOOLS. The modules are designed to make complex concepts easier to understand for all learners. Dell announced the new Dell Teaching and Learning Academy for educators, created to ensure that classroom technologies live up to their promise of fostering collaborative and creative iq option r environments for all students.
Dell also announced the availability of its catalog of virtual professional learning courses, which cover topics such as basic introduction to Windows or Chrome operating systems, next-generation assessments, and game-based learning as well as personalized and blended curriculum development. The CWIST model allows for the delivery of activities and projects that can be used for interactive learning, or can support gamified learning through assessment and incentives.
The NGSS-aligned Science Techbook fully supports the instructional shifts required by the new standards, supports the philosophy of three-dimensional learning, and is designed to help educators adapt their classroom practice to meet the standards. Discovery Education released its new Discovery Education Science Techbook aligned to the Next Generation Science Standards NGSS.
In addition to content chosen to directly support the standards, the NGSS Model Lessons within the new Techbook reflect the interconnectedness of the Science and Engineering Practices SEPsDisciplinary Core Ideas DCIand Cross-Cutting Concepts CCCand illustrate what these mean in practice for educators. D-Link announced D-View 7, the newest version of its SNMP Network Management System NMScapable of supporting large numbers of devices including smart and managed switches, wireless access points, and wireless controllers.
D-View 7 is a Web-based NMS designed to effectively manage device monitoring, configuration, and troubleshooting. Users can manage a network without the need of installing client software, and can access the system with a browser anytime and from anywhere with an Internet connection. Remotely deployed probes will automatically tunnel home, allowing for the management of devices that cannot be directly accessed using standard SNMP.
Scantron Performance Series data will be incorporated into Edgenuity MyPath, enabling school districts to use previously collected data to offer targeted student instruction. Educators will be able to import student math and reading scores from Scantron Performance Series into MyPath, which will then recommend Individual Learning Paths ILPs for students.
The ILPs are CCSS-aligned and offer a variety of instructional material, including videos, interactive tasks, practice activities, and comprehension reviews. As students work through their lessons, educators will receive detailed reports to monitor progress. EDMENTUM UPDATES, PLATO COURSEWARE, AND EDOPTIONS ACADEMY www. New secondary courses are now available for Edmentum s Plato Courseware and EdOptions Academy.
The new math and English language arts ELA courses are built to state and national standards, mobile optimized, and feature multimedia content to keep students engaged, to cater to different learning styles, and to better measure student understanding. In addition to the newly rebuilt courses, Edmentum released over 40 state-specific courses. Edmentum is also releasing a new set of dynamic tools and services to support blended learning programs and better personalize learning for students.
Educators can use Edmentum s new Flex Assignments to customize instructional content and the Virtual Collaboration Space to connect with students in a synchronous environment. EXO U combines an LMS, assessments, and OER and licensed content to a teacher s favorite third-party tools. With one click, teachers share content to any school-owned or student device.
They can observe iq option r student s engagement, lock computer screens, and eliminate onboarding delays. Content gets delivered directly to students device. That means they can continue to work on it, even when there is no connectivity. It works across all operating systems such as windows, Mac OS, iOS and Android, and with any device. At ISTE, it partnered with Panasonic to showcase its solution with the Panasonic 3E, a laptop developed through a partnership of Panasonic, Microsoft, and Intel.
EXO U also partnered with Clever on SIS integrations in order to further reduce barriers to implementation. The LMS Edsby now integrates with Google Apps for Education. Edsby and Google have little overlap, allowing features from both platforms to integrate and complement each other. Google Apps for Education provides students and teachers with a way to author, collaborate on, and store documents. When combined with Edsby, schools and districts receive a comprehensive set of capabilities that include familiar social feed-like features for every class taught by every teacher, group discussions, school news, attendance, course planning, timetables, grade books, report cards, in-depth analytics, parent engagement, and more.
Teachers using Google Apps can use Edsby to share work, engage with parents, and view student schedules, attendance, grades, and overall progress against standards with no additional login. EDTRAININGCENTER, provider of online training and professional development for K-12, has teamed up with observe4 success, a classroom observation and walkthrough platform, to create a new kind of observation, feedback, and professional development program for administrators, coaches, mentors, and teachers.
Now, educators and administrators can customize their classroom observations and generate personalized PD recommendations in one cloud-based platform.