Breathlessly promoting its signature brand -- Watson -- IBM sought to capture the world's imagination, and it quickly zeroed in on a high-profile target: cancer. But three years after IBM began selling Watson to recommend the best cancer treatments to doctors around the world, a STAT investigation has found that the supercomputer isn't living up to the lofty expectations IBM created for it. It is still struggling with the basic step of learning about different forms of cancer. Only a few dozen hospitals have adopted the system, which is a long way from IBM's goal of establishing dominance in a multibillion-dollar market. And at foreign hospitals, physicians complained its advice is biased toward American patients and methods of care. STAT examined Watson for Oncology's use, marketing, and performance in hospitals across the world, from South Korea to Slovakia to South Florida. Reporters interviewed dozens of doctors, IBM executives, artificial intelligence experts, and others familiar with the system's underlying technology and rollout. The interviews suggest that IBM, in its rush to bolster flagging revenue, unleashed a product without fully assessing the challenges of deploying it in hospitals globally. While it has emphatically marketed Watson for cancer care, IBM hasn't published any scientific papers demonstrating how the technology affects physicians and patients. As a result, its flaws are getting exposed on the front lines of care by doctors and researchers who say that the system, while promising in some respects, remains undeveloped. "Watson for Oncology is in their toddler stage, and we have to wait and actively engage, hopefully to help them grow healthy," said Dr. Taewoo Kang, a South Korean cancer specialist who has used the product. At its heart, Watson for Oncology uses the cloud-based supercomputer to digest massive amounts of data -- from doctor's notes to medical studies to clinical guidelines. But its treatment recommendations are not based on its own insights from these data.

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The first of these events, Policy for Artificial Intelligence: Ethics and Inclusion for the Algorithmic Age, will feature Frank Escoubes (Bluenove's CEO), John C. Havens: Executive Director, The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems, and Cyrus Hodes, director of the AI Initiative with The Future Society at Harvard Kennedy School. This introductory webinar will provide a general perspective on why creating proactive and inclusive policy for AI is so important, featuring the efforts of The Harvard AI Initiative and their 6 month, global Online Civic Debate called, Governing the rise of Artificial Intelligence featuring Assembl, the collective intelligence platform. As Moderator, John will provide perspectives AI Ethics and how it relates to policy regarding The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems while also delving into specific issues Cyrus and Frank feel are most compelling to focus on in AI Policy today. Frank Escoubes is the President and co-founder of bluenove, a consulting and technology firm specialized in open innovation and collective intelligence based in France and Canada. Frank is a former Deloitte Principal.

The trade deficit had narrowed in the spring as exports of U.S. computer products and farm goods rose. U.S. exporters benefited from a decline in the value of the dollar, which makes American products cheaper overseas. Solid global growth also helped, as economies from Europe to Asia to Latin America are expanding simultaneously. Exports in June were the highest in 2 ½ years.

Elon Musk is worried about governments, specifically the Russian one, competing for artificial intelligence superiority and sparking World War III. That shocking statement was made all the more shocking by the low expectations the world seems to have for Russia, which US Senator John McCain dismissed just a few years ago as a "gas station masquerading as a country." Recent remarks by Russian President Vladimir Putin grabbed Musk's attention. Speaking to schoolchildren about AI on 1 September, Putin declared, "Whoever becomes the leader in this area will rule the world." Musk's response emerged on Twitter: "It begins..." Actually, Russia isn't "beginning" anything when it comes to AI.

For all the huge potential of artificial intelligence, bots still have a long way to go to pass as human. You don't know whether I'm a dog or not, but you can at least be reasonably confident that I'm not a bot. But then I'm writing articles of between 300 and 3,000 words: there's plenty of room to slip up – especially if you've been trained through machine learning, rather than speaking, reading and writing in English for more than 30 years. In the realm of short-form social media and comments sections, where grammar and syntax are both more fluid and less closely scrutinised, it's far easier for bots to blend in, as a study from the University of Chicago found out last week. The bot they'd trained to review restaurants was astroturfing with the best of them. "My family and I are huge fans of this place," the bot gourmet wrote in one sneaky review on Yelp.

The success of artificial intelligence (AI) algorithms hinges on the ability to gain easy access to the right kind of data in sufficient volume. Put more simply, AI depends on good data. Even Google--which is famous for the pioneering work in AI that underpins its standard-setting search-based advertising business--makes no bones about the critical role of data in AI. Peter Norvig, Google's director of research, has said: "We don't have better algorithms, we just have more data." Companies increasingly realize that data is critical to their success--and they are paying striking sums to acquire it. Microsoft's US$26 billion purchase of the enterprise social network LinkedIn is a prime example. But other technology companies are also seeking to acquire data-related assets, typically to acquire more than just identity-linked information from social media sources by focusing instead on vast troves of anonymized consumer data. Think, for example, of Oracle pursuing an M&A-led strategy for its Oracle Data Cloud data aggregation service, or IBM buying, within the past two years, both The Weather Company and Truven Health Analytics. Early returns for companies making such investments are promising. Still, to unlock the full value of AI algorithms, companies must have access to large data sets, apply abundant data-processing power, and have the skills to interpret results strategically.

The investment will help Valossa expand its product team and its global sales and marketing of it artificial intelligence (AI) video products. According to the Cisco Global Video Index, by 2021, 82% of all consumer Internet traffic will be video. Valossa recently released its first commercial product, Valossa AI, as a cloud service that detects and identifies people, visual and audio context, spoken topics, themed video categories and explicit content from large volumes of video data. Valossa AI analyses videos at a high speed and produces detailed descriptions for every second of the video. The Core recognition engine is available on a customer's premises, as an API or as a software-as-a-service (SaaS) platform.

An driverless car firm based in Cambridge has raised £14 million ($16.4 million) in funding - Europe's largest investment in an autonomous car start-up. It hopes to develop a driverless car system tailor-made for the continent's ancient network of roads. Starting in London in 2019, the company believes it can compete with rival Silicon Valley firms, whose sights are more firmly set on the modern roads of the US. An AI firm based in Cambridge has raised £14 million ($16.4 million). It hopes to develop a driverless car system tailor-made for the continent's ancient network of roads.

The Trade Union Congress (TUC) has called on the UK government to make sure workers are not left out by technology-driven productivity gains. According to TUC general secretary Frances O'Grady, it is essential the UK makes the most of "the most of the economic opportunities that new technologies are offering", especially with the UK failing to make productivity gains in the past decade. You forgot to provide an Email Address. This email address doesn't appear to be valid. This email address is already registered.