China's next generation missiles to adapt to war situation according to Artificial Intelligence

Can FinTech and AI solve the ESG data puzzle?

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Technology companies are hurriedly snapping up startups in the field of artificial intelligence, and Intel Corp. INTC 0.77 % is the latest to join a buying spree fueled by one of the hottest trends in the tech sector. The chip maker on Tuesday announced plans to pay an undisclosed amount for Nervana Systems, a 48-employee company working on semiconductors, software and services to exploit a popular AI technique called deep learning. Intel's move follows a deal disclosed Friday by Apple Inc. AAPL 0.26 % to purchase Turi Inc., a Seattle-based specialist in the field. The two acquisitions add to a string of 31 purchases since 2011 of AI startups by large companies, according to venture-capital research firm CB Insights. Factoring in smaller acquirers, PricewaterhouseCoopers LLP counts 29 related acquisitions so far this year, suggesting the total deal count for 2016 will top the 37 deals announced last year.

Dyson's 360 Eye robot vacuum has been a long time coming to U.S. carpets. The squat little cylinder of a bot first broke cover in September 2014, with a splashy product announcement and a consumer launch in Japan in 2015. North American homes are only just getting their first taste of Dyson's inaugural foray into robotics, however, and my own has been playing host to one for the past couple of weeks. The Dyson 360 Eye is unsurprisingly a terrific vacuum, but it does have room for improvement for a robot – which isn't saying anything new for the category. The bottom line is that Dyson's robot already delivers a better, more reliable clean than the Roomba 595 Pet Vacuum robot I was using previously, and thanks to a commitment by Dyson to continuous improvement, should only get even better over time.

Dyson's 360 Eye robot vacuum is going global, with retail availability in Canada today, and a U.S. launch following soon. I spoke to Dyson's Lead Robotics Engineer Mike Aldred about the vacuum, which has been in development at the company long before its Japanese debut last year – in fact, the project dates back 18 years to 1998. But true advances takes time, and the tech behind Dyson's first robot vacuum is nothing if not advanced. The 360 Eye vacuum boasts a sophisticated 360-degree vision system that combines a top-mounted spherical camera with a pair of advanced sensors flanking the robot's'face,' and is designed to be much smarter than the competition from Roomba and others, as well as just offering better basic vacuum capabilities in terms of being able to pick up dirt, hair and dust. "Vision is absolutely critical, but it was a completely new technology [when development began]," Aldred told me, explaining the early days of 360 Eye's development.

Scientists in Japan reportedly saved a woman's life by applying artificial intelligence to help them diagnose a rare form of cancer. Faced with a 60-year-old woman whose cancer diagnosis was unresponsive to treatment, they supplied an AI system with huge amounts of clinical cancer case data, and it diagnosed the rare leukemia that had stumped the clinicians in just ten minutes. The Watson AI system from IBM matched the patient's symptoms against 20m clinical oncology studies uploaded by a team headed by Arinobu Tojo at the University of Tokyo's Institute of Medical Science that included symptoms, treatment and response. The Memorial Sloan Kettering Cancer Center in New York has carried out similar work, where teams of clinicians and data analysts trained Watson's machine learning capabilities with oncological data in order to focus its predictive and analytic capabilities on diagnosing cancers. IBM Watson first became famous when it won the US television game show Jeopardy in 2011.

In 2011, a supercomputer won 1 million on Jeopardy! In 2016, that same supercomputer is tackling a challenge quantified not in millions of dollars but in millions of cancer patients. The goal is to use Watson's natural language processing to mine the medical literature and a patient's records to provide treatment advice. And this month the Watson computer system is drastically expanding its reach -- from one hospital in Thailand to six in India and a planned 21 more in China. This instantiation of Watson, dubbed Watson for Oncology, is an artificial intelligence system that has access to millions of pages of medical textbooks and journal articles.

The year was 2012, and IBM's AI software Watson was in the midst of its heyday. Watson beat two of Jeopardy's all-time champions a year earlier in 2011, and the world was stunned. It was the first widespread and successful demonstration of a natural language processing computer of its class. Combined with the popularity of Jeopardy, Watson became an immediate mainstream icon. Later in 2012, IBM announced one of the first major practical partnerships for Watson--a Cleveland Clinic collaboration to bring the system into medical training.

Uber will test its fleet of autonomous cars in Pittsburg. Some guy made a bionic hand out of a coffee machine. This article focuses not what the athletes are putting into their bodies, but what they are putting on their bodies and shows how technology affects gears used by them. An hour long lecture by Demis Hassabis, the CEO of DeepMind, where he discusses what is happening at the cutting edge of AI research, including the recent historic AlphaGo match, and its future potential impact on fields such as science and healthcare, and how developing AI may help us better understand the human mind. Here, Margaret Boden, a Professor of cognitive science at the University of Sussex, examines what it means to be "creative" and whether we can ever translate this into our computers.