Archive for 2016

Takeaways: O’Reilly AI Part 3

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Among the featured speakers at the O’Reilly AI Conference were Lili Cheng of Microsoft Research, and Oren Etzioni, director of the Allen Institute for Artificial Intelligence. Their views offer contrasting perspectives: AI product design and development lessons from Microsoft and some hard data about expectations for market development from the AI think tank.

Lili Cheng, Microsoft Research. Microsoft’s bot, Xaoice, now with 40 million users, was rolled out first in China, and then Japan. Like Amazon’s Echo, it has a suite ...

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Takeaways: O’Reilly AI Part 2

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Among the speakers at the O’Reilly AI Conference were the eponymous conference producer and long-time tech industry guru Tim O’Reilly, and Genevieve Bell, representing Intel, one of the premium sponsors of the event. This is what I thought were the primary messages they delivered.

Tim O’Reilly, O’Reilly Media. Tim was upbeat about AI and its potential to “change the game” of business. He cited complex problems that will always arise when we change the nature of the relationship between people and ...

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Takeaways: O’Reilly AI

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The first O’Reilly AI Conference served up an AI smorgasbord of ideas at the end of September in New York. We continue to struggle with the resurgence of use of the term “AI” throughout the mainstream press. As we have pointed out, simplistic definitions are erecting big hurdles to useful understanding of the field. Artificial intelligence is a large umbrella term that includes: machine learning of all types, digital assistants, conversational systems, Internet of Things, image and speech recognition, emotion ...

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Under Micro Focus, formerly HPE Autonomy Assets Face Uncertain Future In Cognitive Computing

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The announcement that HPE (Hewlett Packard Enterprise) has spun out most of its software assets to UK-based Micro Focus International plc indicates that the company is adopting a strategy of retreat from the fast-moving but nascent field of cognitive computing.

Micro Focus has had a successful run up on the London Stock Exchange since the beginning of the year. On the news of the deal, the stock value spiked: it is now up 45% year-to-date. While this should be good news ...

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Pursuing AI Research in a Context of Human Ethics

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The New York Times is reporting an nascent effort on the part of leading commercial companies with AI research programs, including Alphabet, Facebook, Microsoft, IBM, and Amazon, to work together in self-regulating the interactions of social and ethical considerations with AI research.

The Times report is here:

http://www.nytimes.com/2016/09/02/technology/artificial-intelligence-ethics.html?ref=technology

The big 5 are discussing a collaboration to devise a framework to insure ethical research and development efforts, as artificial intelligence and cognitive computing systems increasingly enter into and in some cases direct decision ...

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Susan Feldman Presents Cognitive Application Framework at CSIG

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Sue Feldman presented her work on developing a framework for analyzing cognitive computing applications at the Cognitive Systems Institute Group Speaker Series on September 1, 2016.

She described a general framework integrating business value, application behavior, technology deployed, and data sources curated. She also offered her views on the emerging continuum of cognitive applications, ranging from tightly honed expert systems to open, exploratory kinds of applications designed to promote serendipity.

Interaction context is another foundation element in cognitive applications, and Sue presented ...

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HP Announces API Combinations for Cognitive App Development

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HPE (Hewlett Packard Enterprise) has announced a new offering and marketplace infrastructure with the enviable title of HPE Haven OnDemand Combinations, designed to accelerate the development of “next generation cognitive applications.” The combinations are preconfigured sets or chains of APIs which have been available from HPE in the IDOL on-premise software and more recently offered in a variety of freemium and commercial packages through HPE’s Haven OnDemand cloud services.

HPE’s description of the new functionality can be found here:

https://community.havenondemand.com/t5/Blog/Introducing-the-fastest-way-to-add-intelligence-to-all-your-apps/ba-p/3227

Any application ...

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Approaches to Artificial Neuron Processing: Phase Change Materials et. al.

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IBM has announced multiple projects in its program to design a new generation of chips that might achieve orders-of-magnitude improvements in power and efficiency. The general model for this research is the low power consumption, highly connected, extremely flexible and adaptable human brain.

This week, the firm’s Zurich-based semiconductor unit published a report of their work in Nature Nanotechnolgy. The article describes their success at using phase change materials to create artificial neurons.

Find a summary of the work here:

http://siliconangle.com/blog/2016/08/03/ibm-develops-new-artificial-neurons-that-process-data-like-the-human-brain/

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Machines, Biology and the New Coding Era

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Veteran Boston-based radio host Christopher Lydon takes on the intersection of biotech and cognitive in a three-part series of shows on Radio Open Source. The first episode Apocalypse Now?: The Rise of the Machines, aired on August 4 and is available online at:

http://radioopensource.org/apocalypse-now-part-1-rise-machines/

The second episode, Apocalypse Now?: A Remade Man, dives into the biotech revolution and how new coding techniques are leading to a variety of breakthroughs in medicine and elsewhere. This show is available here:

http://radioopensource.org/apocalypse-now-remade-man/

The third episode ...

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Legal Issues: Can we depend on algorithms to make decisions?

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In the cognitive computing era, there are plenty of tough technical challenges. Their difficulty pales, however, when compared to the social and legal issues these new technologies raise. Increasingly, we rely on algorithms to help us sort through the complex factors that lead to making a decision. Often this reliance is not based on knowing whether the algorithm is dependable. Articles by Julia Angwin in the New York Times and ProPublica on Aug. 1st celebrate a decision by the Wisconsin ...

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