British multinational GlaxoSmithKline have hired computational drug design expert Dr Kim Branson as the company's new Senior Vice President, Global Head of Artificial Intelligence and Machine Learning. In his new role, the biotech veteran will oversee projects which use AI to identify novel targets for potential medicines. Dr Branson brings to the role more than 15 years' worth of experience in biotech and academia having held positions at a number of Silicon Valley firms including Gliimpse, Lumia and Hessian Informatics. Having graduated with a BSc in Biochemistry from the University of Adelaide in 1999, Dr Branson completed a PhD in Computational Drug Design at the University of Melbourne in 2003. Following graduation Dr Branson took on a role at the Australian government's Commonwealth Scientific and Industrial Research Organisation (CSIRO) organisation before moving to Stanford University to do postdoctoral research.

The Israel National Cyber Directorate (INCD) has issued a warning of a new type of cyber attack, using artificial intelligence (AI) technology to impersonate senior company executives. In this method, instructions are given to the companies staff members to perform transactions such as money transfers, as well as malicious activity on the company's network. Recently, reports on cyber attacks of this kind were received at the operations centre of the INCD, Xinhua news agency reported. The new offensive is of the business email compromise (BEC) type -- frauds by email against commercial and government organizations to motivate employees using social engineering methods to act for the attacker"s benefit. The most common types are phishing messages and an invoicing fraud in which the attacker impersonates the vendor, submits an invoice to the company and tries to motivate an employee under time pressure to make a bank transfer, provide information or allow access to the company"s network.

The Pentagon is set to award a $10bn "war cloud" contract to a technology company next month, with both Amazon and Microsoft competing for the chance to build a military-grade AI computing system. The Joint Enterprise Defence Infrastructure (Jedi) plan faces a number of obstacles before the US defence department makes its decision next month, not least from within the companies' own work forces. Microsoft employees published an open letter on Medium last year, pleading the tech giant to not bid on the Jedi contract. "Many Microsoft employees don't believe that what we build should be used for waging war," they wrote. We'll tell you what's true.

Facial recognition could be used to replace swipe cards on public transport, the New South Wales government has suggested, but the opposition and digital rights groups say it would pose a risk to privacy. The transport minister, Andrew Constance, said on Tuesday he wanted commuters "in the not too distant future" to be able to board trains using only their faces, with no need for Opal cards, barriers or turnstiles. "I'm about to outline some concepts which may seem pretty crazy and far-fetched," he told the Sydney Institute on Tuesday. "But look at it this way – who would have thought in 1970 that you'd be able to use a handheld device to have a video conversation with someone on the other side of the world? "I want people to not think about their travel.

The Atlantic League, an independent baseball league, is rolling out a new revolutionary rule and will debut robot umpires to start the second half of the season. On Wednesday, during the league's All-Star Game in York, Pennsylvania, robots will call balls and strikes for the first time in a professional game, according to The Washington Post. The league will also allow batters to steal first base -- yes, steal first -- on a pitch not caught cleanly, similar to a dropped third strike. Except, the runner can attempt to reach first during any count. Using robots will still include a human element, however.

An automatic pilot has landed a plane using image-recognition artificial intelligence to locate the runway. At large airports, systems on the ground beam up the position of the runway to guide automatic systems. But in late May a new AI tool landed a small plane carrying passengers, by "sight" alone at Austria's Diamond Aircraft airfield. One expert said it could potentially improve flight safety. The new system, developed by researchers at the technical universities of Braunschweig and Munich, processes visual data of the runway and then adjusts the plane's flight controls, without human assistance.

OpenAI conducts an enormous amount of research in AI subfields from computer vision to natural language processing (NLP). The San Francisco-based firm -- which was cofounded by CTO Greg Brockman, chief scientist Ilya Sutskever, and others with a $1 billion in backing from luminaries like LinkedIn cofounder Reid Hoffman and Y Combinator chairman Sam Altman -- last year detailed an AI robotics system capable of human-like dexterity. The capped-profit company's Dota 2 bot recently defeated 99.4% of players in public matches and a team of professional players twice, and its most sophisticated NLP model can generate convincingly humanlike short stories and Amazon reviews from whole cloth. Unsurprisingly, there's been a lot of learnings in the roughly three and a half years since OpenAI's inception. At VentureBeat's Transform 2019 conference, Brockman and Sutskever touched on advances in hardware and transparency with respect to AI, and on the topic of responsible disclosure.

As a principal engineer, you will be responsible for ensuring our backend services are feature complete and support our mobile and web clients. Develops, manages and manipulates complex high volume data from a variety of sources. Develops and maintains infrastructure systems that connect internal data sets; creates new data collection frameworks for structured and unstructured data.

A new artificial intelligence (AI) tool for detecting unfair discrimination--such as on the basis of race or gender--has been created by researchers at Penn State and Columbia University. Preventing unfair treatment of individuals on the basis of race, gender or ethnicity, for example, been a long-standing concern of civilized societies. However, detecting such discrimination resulting from decisions, whether by human decision makers or automated AI systems, can be extremely challenging. This challenge is further exacerbated by the wide adoption of AI systems to automate decisions in many domains--including policing, consumer finance, higher education and business. "Artificial intelligence systems--such as those involved in selecting candidates for a job or for admission to a university--are trained on large amounts of data," said Vasant Honavar, Professor and Edward Frymoyer Chair of Information Sciences and Technology, Penn State.

All deep learning systems are vulnerable to adversarial attacks; while cause for concern, it also sparks research that may lead to better, more accountable, artificial intelligence. All deep learning systems are vulnerable to adversarial attacks, researchers warn. Tiny alterations to the input can cause these neural networks to classify pictures or other data totally incorrectly. While cause for concern, this also sparks research that may lead to better, more accountable, artificial intelligence. Artificial intelligence (AI) based on neural networks has made spectacular progress in recent years.