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Nvidia leaves a 'paper' trail

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Groundbreaking research has always been an important aspect of SIGGRAPH, as scientists and researchers present the latest industry advancements to conference-goers. So, the fact that Nvidia, in collaboration with top academic researchers at 14 universities, will be presenting a record number (16) of research papers at this year's conference is astounding. When a reinforcement learning model is used to develop a physics-based animated character, the AI typically learns just one skill at a time: walking, running, or perhaps cartwheeling. But researchers from UC Berkeley, the University of Toronto, and Nvidia have created a framework that enables AI to learn a whole repertoire of skills--demonstrated with a warrior character who can wield a sword, use a shield, and get back up after a fall. Achieving these smooth, lifelike motions for animated characters is usually tedious and labor-intensive, with developers starting from scratch to train the AI for each new task.


Yield-predicting AI needs chemists to stop ignoring failed experiments

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Machine-learning algorithms that can predict reaction yields have remained elusive because chemists tend to bury low-yielding reactions in their lab notebooks instead of publishing them, researchers say. 'We have this image that failed experiments are bad experiments,' says Felix Strieth-Kalthoff. 'But they contain knowledge, they contain valuable information both for humans and for an AI.' Strieth-Kalthoff from the University of Toronto, Canada, and a team around Frank Glorius from Germany's University of Münster are asking chemists to start including not only their best but also their worst results in their papers. This, as well as unbiased reagent selection and reporting experimental procedures in a standardised format, will allow researchers to finally create yield-prediction algorithms. Retrosynthesis is already using machine-learning models to create shorter, cheaper or non-proprietary synthetic routes. But there have been few attempts at creating programs that predict yields.


Jeopardy champion's 23-day winning streak ends after losing by $1

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Mattea Roach, a tutor from Toronto, Canada, had won $560,983 over the course of her winning streak. This image released by Sony Pictures Television shows Mattea Roach, a 23-year-old Canadian contestant on the game show "Jeopardy!" Heading into the final round of Friday's match, Roach was leading with $19,200 and wagered $3,001 on the Final Jeopardy question.


Complete Machine Learning & Data Science Bootcamp 2022

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This is a brand new Machine Learning and Data Science course just launched and updated this month with the latest trends and skills for 2021! Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 400,000 engineers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, other top tech companies. You will go from zero to mastery!


The AI revolution: Robots already helping humans deliver better care

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Bright yellow and looking like a headless deer, Spot can travel across ground too risky for humans. "Built for dirt and danger," in the words of its maker Boston Dynamics, this robot is now helping humans battle a different threat: the spread of coronavirus. Equipped with an iPad and two-way radio, Spot has been making the rounds at Brigham and Women's Hospital in Boston since April. Medical technicians use the robot to interview patients with suspected COVID-19 remotely, with no need to don personal protective equipment. Think of it as mobile telemedicine.


Maple Leafs beat Islanders, break team wins and points marks

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Jack Campbell made 27 saves and the Toronto Maple Leafs set franchise records for victories and points, beating the New York Islanders 4-2 on Sunday night without NHL goals leader Auston Matthews. William Nylander, Mitch Marner, Pierre Engvall and David Kampf scored to help Toronto improve to 50-20-6 and reach 106 points. "We've got a great group in here," Campbell said after the record-setting win.


Artificial intelligence is mastery of language. Should we trust what he says?

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But as the fluency of GPT-3 has impressed many observers, the big language model approach has also attracted significant criticism over the past few years. Some skeptics argue that the software is only capable of blind imitation – that it imitates the grammatical patterns of human language but is unable to generate its own ideas or make complex decisions, a fundamental limitation that would prevent the LLM approach from maturing into anything resembling human intelligence. For these critics, GPT-3 is the latest brilliant object in a long history of AI hype, directing research money and attention to what will ultimately prove to be a dead end, preventing other promising approaches from maturing. Other critics believe programs like GPT-3 will forever be compromised by biases, propaganda, and misinformation in the data they have been trained on, meaning their use of anything more than salon tricks will always be irresponsible. Wherever you get to this debate, the pace of recent improvement in large language models makes it hard to imagine that they will not be deployed commercially in the coming years.


Maple Leafs rout Capitals, close in on team victory mark

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. William Nylander, Michael Bunting and Ilya Mikheyev each scored twice, Auston Matthews had two assists to reach 101 points and the Toronto Maple Leafs routed the Washington Capitals 7-3 on Thursday night. Ilya Lyubushkin also scored and captain John Tavares had four assists to help the Maple Leafs improve to 48-20-6, a victory shy of the club record set in 2017-18. Matthews -- with 58 goals and 43 assists -- became the third player in Toronto history with 100 or more points.


What are ethics in artificial intelligence? - Blog post

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Artificial intelligence is probably the greatest transformative technology of our generation. Experts predict that the value of the AI market will reach over $266 billion by 2027, representing an 880% increase compared to 2019. As exciting as AI innovation might be from a practical viewpoint, there are also some issues to consider when it comes to ethics in AI. AI is a technology that aims to enhance and unlock human potential. It is here to augment or replicate problem-solving and decision-making capabilities that require a certain level of "human intelligence".


The Data Analyst Course: Complete Data Analyst Bootcamp 2022

#artificialintelligence

This is a brand new Machine Learning and Data Science course just launched and updated this month with the latest trends and skills for 2021! Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 400,000 engineers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, other top tech companies. You will go from zero to mastery!