Deepmind’s losses and the future of Artificial Intelligence

ALPHABET’S DEEPMIND LOST $572 million last year. What does it mean?

DeepMind, likely the world’s largest research-focused artificial intelligence operation, is losing a lot of money fast, more than $1 billion in the past three years. DeepMind also has more than $1 billion in debt due in the next 12 months.

Does this mean that AI is falling apart? Read More

#artificial-intelligence, #reinforcement-learning

An elegant way to represent forward propagation and back propagation in a neural network

Read More

#neural-networks

Artificial intelligence is no silver bullet for governance

There is considerable interest from policymakers and scientists around the world around how artificial intelligence is going to transform their work. In their haste to jump on the AI bandwagon, however, everybody is forgetting we have not solved some older, deeper problems about data that will stymie attempts to get the technology off the ground. Read More

#governance

China’s AI Dreams Aren’t for Everyone

The Chinese government has big plans for artificial intelligence. Can it make them a reality in its education system?

One morning, Ming Ming wakes up for school to the soothing, mechanical voice of his artificially intelligent robot housekeeper. “Ming Ming! It’s March 29, 2028, and a new day has begun!”

This is not a work of science fiction. It is the opening chapter of a new Chinese high school textbook, put out by SenseTime, the world’s largest artificial intelligence start-up, with a valuation of over $4.5 billion, in partnership with a research center at East China Normal University and with middle and high school teachers in Shanghai. Published in April 2018, the textbook is part of the government’s recent push to prepare Chinese youth to help the nation become an AI superpower. Read More

#china-ai

NIST Lays Out Roadmap for Developing Artificial Intelligence Standards

Federal standards for artificial intelligence must be strict enough to prevent the tech from harming humans, yet flexible enough to encourage innovation and get the tech industry on board, according to the National Institute of Standards and Technology.

However, without better standards for measuring the performance and trustworthiness of AI tools, officials said, the government could have a tough time striking that balance.

On Monday, NIST released its much-anticipated guidance on how the government should approach developing technical and ethical standards for artificial intelligence. Read More

#nist