This post contains a list of the AI-related seminars that are scheduled to take place between 11 May and 30 June 2021. All events detailed here are free and open for anyone to attend virtually. Aligning Superhuman AI with Human Behavior: Chess as a Model System Speaker: Jon Kleinberg (Cornell University) Organised by: Carnegie Mellon University Zoom link is here. Adaptive Sampling for Best Policy Identification in Markov Decision Processes Speaker: Aymen Al Marjani (ENS Lyon) Organised by: RL theory The seminar will be livestreamed here. Title to be confirmed Speaker: Jonathan How (MIT) Organised by: Control Meets Learning Join the Google group to find out how to register.
During the British summer, conversations about sport become almost ubiquitous. This year, however, one participant in those conversations was very different: IBM Watson, IBM's cognitive intelligence. The All England Lawn Tennis Club knew that 2016 would feature unusually fierce competition for attention, with the Tour de France and Euro 2016 taking place alongside Wimbledon. More than ever before, social media was going to be a vital tool in directing that conversation, and directing attention to SW19. Wimbledon's "Cognitive Command Centre" – powered by Watson's intelligence running on a hybrid, IBM-managed cloud - scanned social media for emerging news and trends.
IT IS a nice coincidence that IBM's greatest boss and Sherlock Holmes's sidekick shared a surname. But whether it was Thomas J. or Dr John H. who inspired the name of the firm's latest venture into artificial intelligence (AI), the association of that name with a touch of genius makes "Watson" a clever choice. This sense of cleverness was reinforced in 2011, when Watson won a specially staged version of an American TV quiz show called "Jeopardy!" The system's capacity to parse questions posed to it in the show's convoluted, pun-ridden English, to search huge natural-language databases for clues, to synthesise those clues into answers and to frame those answers in a conversational way was able to beat to the draw the finest minds of American quizdom. Winning game-show prizes, though, is not a good enough business model to justify the investment it takes to build such a system.
A good deep learning model has a carefully carved architecture. It needs enormous training data, effective hardware, skilled developers, and a vast amount of time to train and hyper-tune the model to achieve satisfactory performance. Therefore, building a deep learning model from scratch and training is practically impossible for every deep learning task. Here comes the power of Transfer Learning. Transfer Learning is the approach of making use of an already trained model for a related task.
This week viewers can pick up some catalog titles in 4K, like Saw, as well as 20th Anniversary Edition versions of Shrek and the first Fast and the Furious movie. But the major launch this week is Bioware's remastered version of the Mass Effect trilogy, now available across console generations and on PC, with improved graphics, gameplay and almost all of the content ever released for the games. Otherwise, Netflix has the final season of Castlevania, as well as a new round of episodes in the Love Death & Robots anthology. HBO's feature film release of the week is Those Who Wish Me Dead, and if you're looking for something a little different then try Intergalactic, a sci-fi prison break series from the UK that's streaming on Peacock. Look below to check out each day's highlights, including trailers and let us know what you think (or what we missed). Let's Be Real, Fox, 9:30 PM Everything's Gonna Be Okay, Freeform, 10 PM All times listed are ET.
For Bengaluru resident Srishti Shekhar, the stay-at-home situation and her last year of school made her try something she had never done before: online consultation to solve her acne issues. "I had been to two dermatologists before coming across Remedico's service on Instagram. The sign-up process was very easy and all I had to do was send a few photos and I had a treatment plan designed for me within a day," says Shekhar. Like Shekhar, thousands of Indians turned to the internet when going to a clinic seemed risky. By September, the number of internet subscribers in India had risen to 776.45 million, up from 718.74 million in December 2019--474.11
"The big tech is banking heavily on AI, Cloud and 5G technologies to retain customers and drive growth" A global emergency can smother your business, government lawsuits can break your company, competitors with trillion-dollar market value can wipe your organisation off the map. But what would happen when all three come together in the same year? The pandemic brought the world to a standstill. The internet giants, however, came out of it unscathed. Apple, Amazon, Google and Facebook, popularly known as the big four, have not only survived a combination of calamities but registered profits and left the Wall Street analysts dumbfounded.
Tokyo (SCCIJ) – Switzerland is building the world's most powerful supercomputer focused on artificial intelligence. The "Alps" system is designed for researchers and will come online 2023 as scheduled despite the COVID-19 pandemic. The Swiss National Supercomputing Center (CSCS) is partnering with Hewlett Packard and Nvidia to combine classic supercomputing and AI technologies for superior performance. Switzerland's new supercomputer increases the speed of data processing for AI applications significantly ( CSCS). The new data center will replace CSCS's existing Piz Daint supercomputer and serve as a general-purpose system open to the broad community of researchers in Switzerland and the rest of the world.
The first Industrial Revolution used steam and water to mechanize production. The second, the Technological Revolution, offered standardization and industrialization. The third capitalized on electronics and information technology to automate production. Now a fourth Industrial Revolution, our modern Digital Age, is building on the third; expanding exponentially, it is disrupting and transforming our lives, while evolving too fast for governance, ethics and management to keep pace. Most high school graduates have been exposed to information technology through personal computers, word processing software and their phones. Nonetheless, the digital divide separates the tech savvy from the tech illiterate, driven by disparities in access to technology for pre-K to 12 students based on where they live and socioeconomic realities.
At the peak of the Covid-19 pandemic in 2020, Australian transport agency Transport for New South Wales (NSW) had to restore public confidence in the state's transportation network and curb the spread of the disease. One of the ways it did that was to analyse the travel history recorded by Opal transit cards – with an individual's permission – and inform the commuter if the regular buses and train services that they had been taking were Covid-safe. Chris Bennetts, executive director for digital product delivery at Transport for NSW, said those insights were derived using a machine learning model that predicts how full a bus or train carriage was going to be at a given time. Based on the predictions, commuters would be advised if they could continue using their regular services or switch to a different service or mode of transport. "That was interesting for us because it was our first foray into personalisation to offer more choices for customers," said Bennetts.