In the financial services industry, machine learning is used to analyse vast datasets, for example to identify a customer's credit profile, to identify profitable companies, or to find an optimal investment strategy. Students in the new UCT degree will master machine learning methods and be able to develop their own applications using these methods. Associate Professor and Head of the Department, Francesca Little, outlines the idea behind the degree "We started the MSc in Data Science to give students a thorough understanding of the latest methods in statistical learning. This includes the extremely exciting field of machine learning and artificial intelligence.
Calit2's Qualcomm Institute Has Established a Pattern Recognition Lab For Machine Learning on non-von Neumann Processors "On the drawing board are collections of 64, 256, 1024, and 4096 chips. Based on Community Input and on ESnet's Science DMZ Concept, NSF Has Funded Over 100 Campuses to Build Local Big Data Freeways Red 2012 CC-NIE Awardees Yellow 2013 CC-NIE Awardees Green 2014 CC*IIE Awardees Blue 2015 CC*DNI Awardees Purple Multiple Time Awardees Source: NSF 33. Next Step: The Pacific Research Platform Creates a Regional End-to-End Science-Driven "Big Data Superhighway" System NSF CC*DNI Grant $5M 10/2015-10/2020 PI: Larry Smarr, UC San Diego Calit2 Co-Pis: • Camille Crittenden, UC Berkeley CITRIS, • Tom DeFanti, UC San Diego Calit2, • Philip Papadopoulos, UCSD SDSC, • Frank Wuerthwein, UCSD Physics and SDSC Letters of Commitment from: • 50 Researchers from 15 Campuses • 32 IT/Network Organization Leaders 34. Adding a Cognitive Hardware and Software Ecosystem To the Pacific Research Platform • Working With 30 CSE Machine Learning Researchers – Goal is 320 Game GPUs in 32-40 FIONAs at 10 PRP Campuses – PRP Couples FIONAs with GPUs into a Condor-Managed Cloud • PRP Access to Emerging Processors – IBM TrueNorth, KnuEdge, FPGA, and Qualcomm Snapdragon • Software Including a Wide Range of Open ML Algorithms • Metrics for Performance of Processors and Algorithms Source: Tom DeFanti, Calit2 Multiple Proposals Under Review FIONA with 8-Game GPUs 38.
Elon Musk recently commented on Twitter (twtr) that artificial intelligence (AI) is more dangerous than North Korea. The AI technologies of today are simply not advanced enough or sufficiently embedded into our society for that to happen. Arguably the greater threat from AI comes from developing machines that are better decision makers than we are. Whether it arrives today or in decades, the threat posed by AI is real.
Hila Mehr, a Center for Technology and Democracy fellow, explained that there are five key government problems that AI might be able to assist with reasonably: resource allocation, large data sets, expert shortages, predictable scenarios, and procedural and diverse data. "If you're talking about government offices that are limited in staff and experts," Mehr said, "that's where AI trained on niche issues could come in." As for where the technology could run affront of human jobs, Mehr advises that government organizations and businesses alike start considering labor practices in advance. If you are talking about really training an AI system with machine learning, you need a big data set, a very big data set, and you need to train it, not just feed the system data and then it's ready to go," she said.
Amazon's Echo Dot was made available for free through Amazon.com The apparent promo appeared to shut down around 4 p.m. EDT, with some users showing notifications that the product was no longer available. There is no listing of the promotion, which is applied at checkout and is listed as an "Audible Promo," presumably in reference to Amazon's audiobook service Audible. It is unclear if the deal or apparently giveaway was intended solely for Amazon Prime customers, but customers without Prime were also able to order the product for free as of Friday afternoon. Amazon message that Echo Dot is no longer available.
Google created an AI that can easily and automatically remove the types of digital watermarks photographers put on their images to prevent unauthorized use working with collections instead of single images. Basically, it performs a multi-image optimization problem called'multi-image matting,' in which the watermark (the foreground) is separated into its image and opacity components while reconstructing a subset of the clean photo (the background). A figure illustrating the before, removal and after of watermarked stock images, as performed by Google's new AI'While removing a watermark from a single image automatically is extremely challenging, watermarks are typically added in a consistent manner to many images,' reads the paper, which was presented at the 2017 Computer Vision and Pattern Recognition Conference. This step involves a multi-image optimization problem called'multi-image matting,' in which the watermark (the foreground) is separated into its image and opacity components while reconstructing a subset of the clean photo (the background).
It's building dedicated processing hardware plus a software framework for machine learning developers to accelerate building their own AI applications -- with the stated aim of becoming the leader in the market for "machine intelligence processors". Commenting in a statement, Uber's Ghahramani argues that current processing hardware is holding back the development of alternative machine learning approaches that he suggests could contribute to "radical leaps forward in machine intelligence". Graphcore is building what it calls an IPU -- aka an "intelligence processing unit" -- offering dedicated processing hardware designed for machine learning tasks vs the serendipity of repurposed GPUs which have been helping to drive the AI boom thus far. "Building systems capable of general artificial intelligence means developing algorithms that can learn from raw data and generalize this learning across a wide range of tasks.
You can already find AI chatbots in nearly every industry – from sales to customer support, consumers are seeing tangible improvements to user experience, fueling the surge in this tech revolution. As a branded Facebook Messenger bot, Hyatt customers can get up to date information in seconds. Using your customer's' previous purchases and support questions, these sales-minded AI chatbots deliver personalized product recommendations that consumers are most likely to purchase. In the second installment of our series on AI-based predictive analytics, we look at 5 brands using predictive analytics to improve growth and performance.
He's also a fan of stated company values (Twilio has nine). Stated company values get a mixed response from business leaders, but Lawson says that they're useful. But it's no place for the fainthearted; an announcement last May that Twilio's biggest client, Uber, intended to do more development in-house hit Twilio's share price. Twilio Understand (a "natural language understanding product") uses machine learning to understand what people are saying, as well as their intent.