IBM has laid off approximately 50 and 70 per cent of staff this week in its Watson Health division, according to inside sources. The axe, we're told, is largely falling on IBMers within companies the IT goliath has taken over in the past few years to augment Watson's credentials in the health industry. These include medical data biz Truven, which was acquired in 2016 for $2.6bn, medical imaging firm Merge, bought in 2015 for $1bn, and healthcare management business Phytel, also snapped up in 2015. Yesterday and today, staff were let go at IBM's offices in Dallas, Texas, as well as in Ann Arbor, Michigan, Cleveland, Ohio, and Denver, Colorado, in the US, and elsewhere, it is claimed. A spokesperson for Big Blue was not available for comment.
IBM is teaming up with eight North American universities to further tune its cognitive system to tackle cybersecurity problems. Watson for Cyber Security, a platform already in pre-beta, will be further trained in "learning the nuances of security research findings and discovering patterns and evidence of hidden cyber attacks and threats that could otherwise be missed". IBM will work with eight US universities from autumn onwards for a year in order to push forward the project. The universities selected are California State Polytechnic University, Pomona; Pennsylvania State University; Massachusetts Institute of Technology; New York University; the University of Maryland, Baltimore County (UMBC); the University of New Brunswick; the University of Ottawa; and the University of Waterloo. The project is ultimately designed to bridge the cyber-security skills gap, a perennial issue in the industry.
When BJ's Wholesale Club on Thursday (May 3) said that it would leverage artificial intelligence machine learning in its mobile app, it joined the crowded club of companies boasting machine-learning capabilities while remaining vague on the details. But the 215-store chain -- operating in Connecticut, Delaware, Florida, Georgia, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, North Carolina, South Carolina, Ohio, Pennsylvania, Rhode Island and Virginia -- pledged to use machine learning to boost its CRM shopper profiles and to immediately apply it to change mobile responses. "The new discover feature lets shoppers explore new products and easily swipe right to add to a wishlist or left to dismiss a product," the chain said in one of the shortest news releases that retail has ever seen. "Using machine learning, the discover experience will be personalized to each user based on previous selections they've made through the swipe right or left process." Why do I find this so interesting?
Google, Facebook and other internet giants would disclose the algorithms they use to return search results under new legislation proposed by US law makers. The bipartisan Filter Bubble Transparency Act also would require the online companies to offer users an unfiltered search option that delivers results without any algorithmic tinkering. Senator John Thune, a Republican from North Dakota, filed the bill on Friday. The legislation was co-sponsored by Republican senators Jerry Moran of Kansas and Marsha blackburn of Tennessee, as well as Democrats Richard Blumenthal of Connecticut and Mark Warner of Virginia. Senator John Thune, a Republican from North Dakota, filed the bipartisan'Filter Bubble Transparency Act,' which would require internet companies to reveal algorithms used to determine online searches The online firm, owned by Alphabet, like other internet companies relies on algorithms - a highly-specific set of instructions to computers - that track users' behavior and location Thune says the legislation is needed because'people are increasingly impatient with the lack of transparency,' on the internet, reports the Wall Street Journal.
Yiling Chen (firstname.lastname@example.org) is Gordon McKay Professor of Computer Science at Harvard University, Cambridge, MA. Arpita Ghosh (email@example.com) is an associate professor of information science at Cornell University, Ithaca, NY. Michael Kearns (firstname.lastname@example.org) is a professor and National Center Chair of Computer and Information Science at the University of Pennsylvania, Philadelphia, PA. Tim Roughgarden (email@example.com) is an associate professor of CS at Stanford University, Stanford, CA. Jennifer Wortman Vaughan (firstname.lastname@example.org) is a senior researcher at Microsoft Research, New York, NY.