Archive for the ‘Artificial Intelligence’ Category

“US Congress is trying to define what artificial intelligence actually means”

December 13, 2017

https://qz.com/1154491/us-congress-is-trying-to-define-what-artificial-intelligence-actually-means/

Excerpt:

As with any legislation, the proposed bill defines key terms. In this, we have a look at how the federal government might one day classify artificial intelligence. Here are the five definitions given:
A) Any artificial systems that perform tasks under varying and unpredictable circumstances, without significant human oversight, or that can learn from their experience and improve their performance. Such systems may be developed in computer software, physical hardware, or other contexts not yet contemplated. They may solve tasks requiring human-like perception, cognition, planning, learning, communication, or physical action. In general, the more human-like the system within the context of its tasks, the more it can be said to use artificial intelligence.
B) Systems that think like humans, such as cognitive architectures and neural networks.
C) Systems that act like humans, such as systems that can pass the Turing test or other comparable test via natural language processing, knowledge representation, automated reasoning, and learning.
D) A set of techniques, including machine learning, that seek to approximate some cognitive task.
E) Systems that act rationally, such as intelligent software agents and embodied robots that achieve goals via perception, planning, reasoning, learning, communicating, decision-making, and acting.

“When [new AI program AlphaGo Zero] played against the version of AlphaGo that first beat [a top human Go Master], it won by 100 games to zero.”

October 23, 2017

https://www.economist.com/news/science-and-technology/21730391-learning-play-go-only-start-latest-ai-can-work-things-out-without

Excerpt:

“AlphaGo Zero is designed to avoid all these problems by skipping the training-wheels phase entirely. The program starts only with the rules of the game and a “reward function”, which awards it a point for a win and docks a point for a loss. It is then encouraged to experiment, repeatedly playing games against other versions of itself, subject only to the constraint that it must try to maximise its reward by winning as much as possible . . . But an algorithm that can learn without guidance from people means that machines can be let loose on problems that people do not understand how to solve.”

“[A startup of] Elon Musk…aims to merge computers with brains so humans could one day engage in `consensual telepathy.'” (Updated)

April 21, 2017

https://blogs.wsj.com/cio/2017/04/21/the-morning-download-autonomous-vehicle-sensors-falling-in-price/

Update (20170421)

A very long, cleverly written explanation of the rationale behind this startup:

Neuralink and the Brain’s Magical Future

“[Facebook’s] Building 8 [is] hiring engineers for a two-year project `focused on developing advanced (brain-computer interface) technologies.’”

April 20, 2017

https://www.wsj.com/articles/facebook-aims-to-connect-directly-to-your-brain-1492642672

“The number of connections in our brain is 100,000,000,000,000…”

April 7, 2017

http://blogs.wsj.com/cio/2017/04/07/the-morning-download-facebook-pursues-adversarial-approach-to-ai/