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Toyota, Apple, and Others Reveal New AI Ventures – This Week in Artificial Intelligence 09-12-15

Daniel Faggella

Daniel Faggella is the founder and CEO at Emerj. Called upon by the United Nations, World Bank, INTERPOL, and many global enterprises, Daniel is a sought-after expert on the competitive strategy implications of AI for business and government leaders.

Toyota, Apple, and Others Reveal New AI Ventures - This Week in Artificial Intelligence 09-12-15

1 – Apple TV Highlights How Far AI Has Come — And How Far It Has To Go

The Apple event was the talk of the week, and a new upcoming Apple TV upgrade that allows users to search for shows and control features by voice was one of the highlighted introductions. The technology is already part of the everyday, however, in the Siri-powered voice search capability that is part of iPhones. Technically, Roku 3 and Amazon Fire TV already support voice search, but the Apple version will support more specific functions. The emphasis is not a dampening of the innovative spirit, but a focus on how far artificial intelligence (AI) has come in recent years (in areas like speech recognition) with the new trend of deep learning algorithms. At the same time, the featured technology is a reminder of how far of AI is in certain areas, including creative synthesis (i.e. from crafting a delicious recipe to creating a TV show).

(Read the full article on Fortune)

2 – Toyota Invests $50 Million In Artificial Intelligence Research For Vehicle Robotics

Toyota is following in the footsteps of several automakers, including the ambitious Google, and investing $50 million over the next five years in a joint research initiative with Stanford and MIT to study the possibilities of AI in intelligent vehicles and robotics. In the same breath, Toyota also announced its decision to hire Dr. Gill Pratt, former program manager at the Defense Advanced Researchch Projects Agency (DARPA) and leader of its Robotics Challenge Events, as director of the company’s AI research. In an interview with Forbes, Pratt stated the the ultimate challenge is (not surprisingly) the technology to make cars fully autonomous. Another major conceptual issue is (and will be) convincing humans that autonomous cars are safe 100 percent of the time, especially in an unexpected event.

(Read the full article on Forbes)

3 – Robots Will Do Almost Every Job Better Than Humans

An economic evolution is on the horizon with robots at the helm. While a 2013 Oxford survey estimated that 47 percent of all US employment is at risk of being automated, AI Professor Toby Walsh stated that number could likely be much higher. Walsh, who teaches at National Information and Communications Technology Australia, cited machine learning as the key cause. Systems that are growing increasingly better at vision, translation, and language, along with increasing computing capacity and diminishing costs, may present the “perfect storm.” Walsh notes that this turnover could happen very quickly and widen inequality gaps.

(Read the full article on Tech Insider)

4 – Intelligent Machines: The Truth Behind AI Fiction

Since much of the public’s concept of artificial intelligence (AI) lies in films, a good place to take a closer look at reality is with this world of the fictional future. Hal may be the most iconic, and one of the furthest from reality, but a distant counterpart might be found in Watson, IBM’s supercomputer which beat the world’s two best players of Jeopardy in 2011. The Terminator is most closely associated with the false idea of the “killer robot”. While DARPA is certainly developing military robots, recent publicity has highlighted the controversial nature of these machines, and the UN has stated that none of these robots should ever be operated without human oversight. Companion robots, akin to to the humanoid C-3PO, may be one of the quickest to enter the sphere of reality. Pepper, a humanoid robot developed by SoftBank, was introduced in Japan this summer and was almost instantly sold out. The BBC is devoting the next week to investigating these ideas and many other facets of AI.

(Read the full article on BBCNews)

5 – E-VAI – The Artificial Intelligence Platform From Eularis Changes The Rules Of Marketing In Pharma

Marketing is one of the many areas experiencing pervasive shifts due to the introduction of sophisticated machine learning algorithms. The pharma industry is the latest target, with Eularis recently announcing E-VAI, “the next generation analytics and decision making to Pharma marketers globally.” Eularis saw the opportunity to take this skyrocketing technology and use it to reverse poor marketing and declining budgets. E-VAI uses the same data but delivers quicker and more accurate results and provides answers that help pharma marketers, such as how to do more with less. Thus far, the technology has already provided a much better understanding of significant driver impacts and their synergistic impact.

(Read the full article on Pharmaceutical Online)



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