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Next Generation AI in the Public’s Hands – This Week in Artificial Intelligence 11-14-15

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.

Next Generation AI in the Public's Hands - This Week in Artificial Intelligence 11-14-15

1 – Surprised? Yeah, Microsoft’s Tech Knows That’s How You Felt

Microsoft’s Project Oxford AI team introduced its “human emotion reading” tool. Computers can now use facial expression information to infer eight main computer emotions: anger, contempt, fear, disgust, happiness, sadness, surprise, and ‘neutral’. While the tool isn’t without error, it has many areas of potential, including the ability to track multiple people and multiple emotions at once. Microsoft shared some of its initial ideas for how such a tool could be used – by marketers to determine reactions of customers to ads, built into a messaging app that can read image emotions. The tool is one of many others in beta set to be released by Microsoft before 2016.

(Read the full article on CNet)

2 – Google Just Open Sourced TensorFlow, Its Artificial Intelligence Engine

Google announced that its open sourcing part of TensorFlow, its AI technology that uses deep learning to identify objects in photos. By opening a portion of the technology to the public, Google hopes that it can more quickly accelerate the algorithm’s power. Says Jeff Dean, one of Google’s engineers,

“What we’re hoping is that the community adopts this as a good way of expressing machine learning algorithms of lots of different types, and also contributes to building and improving [TensorFlow] in lots of different and interesting ways,”

While Google is not the first to open sourcing an image-identifying software, its decision is unique in that it is widely regarded as one of the (if not the most) advanced AI engine in the world.

(Read the full article on Wired)

3 – Studying artificial ‘consciousness’ could pave the way for artificial intelligence

In the question to develop conscious AI, a research group at Monash University is beginning a project to help determine whether it’s possible for AI to become conscious entities. The Japan Science Technology-sponsored grant awarded to the group of Japanese researchers will last five years, and will go towards construction of an AI based on integrated information theory (IIT). The team will seek to determine the quality and quantity of consciousness in a biological entity, studying the brain during such phenomenons as wakefulness, sleep, and anaesthesia. The ultimate goal is to uncover indications of consciousness.

(Read the full article on

4 – How to Invest in Artificial Intelligence — 3 Companies to Watch

AI may be the new Internet in disruptive technology. While financial company Goldman Sachs doesn’t believe AI will be responsible for large-scale business closures, it does believe that companies will need to use AI to function in the future economy. While the notion of futuristic AI is still with us, its more pragmatic and integrated predecessors are being picked up quickly by companies of all sizes, in industries ranging from medical to manufacturing. A handful of larger companies to watch (for investment or curiosity interests) include: Google/Alphabet; Mobvoi; Facebook; and IBM.

(Read the full article on TheStreet)

5 – Tiny NVIDIA Supercomputer to Bring Artificial Intelligence to New Generation of Autonomous Robots and Drones

Nvidia revealed the latest (and pocket-sized) piece of deep learning AI, capable of developing drones, robots, and other AI that can learn autonomously. The Jetson TX1 is the first embedded computer designed to be powered by neural networks, capable of identifying images, processing natural language, or analyzing and navigating around obstacles in travel. Jetson TX1 is available in a developer kit, which will allow both professionals and hobbyists to develop advanced machines. MIT has already announced that will be using the technology for its MIT Robotics Systems and Science course.

(Read the full article on Nvidia News)

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