Tesla Inc said on Friday that a Tesla Model X involved a fatal crash in California last week had activated its Autopilot system, raising new questions about the semi-autonomous system that handles some driving tasks.
CS Digest Section: Machine Learning and Artificial Intelligence
Microsoft Announces Breakthrough in Chinese-to-English Machine Translation
A team of Microsoft researchers announced on Wednesday they've created the first machine translation system that's capable of translating news articles from Chinese to English with the same accuracy as a person. The company says it's tested the system repeatedly on a sample of around 2,000 sentences from various online newspapers, comparing the result to a
Police Say Uber Is Likely Not at Fault for Its Self-Driving Car Fatality in Arizona
The police chief of Tempe, Arizona, where a woman was struck and killed by one of Uber's self-driving cars Sunday, says the ride-sharing company is likely not at fault for the accident, following a preliminary investigation.
Berkeley Lab ‘Minimalist Machine Learning’ Algorithms Analyze Images From Very Little Data
Mathematicians at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have developed a new approach to machine learning aimed at experimental imaging data. Rather than relying on the tens or hundreds of thousands of images used by typical machine learning methods, this new approach "learns" much more quickly and requires far fewer
AI in the Workplace: How Digital Assistants Impact Cybersecurity
Digital Assistants (sometimes seen as AIs) are becoming ubiquitous in living rooms and smartphones everywhere. Now, these devices are taking the leap to the business world. With Amazon's announcement of the Alexa for Business Platform, AIs may soon be able to assist with everything from conference calls to office supply orders. All that utility may come at
https://www.infosecurity-magazine.com/opinions/ai-workplace-digital-assistants/
This Computer Uses Light – Not Electricity – To Train AI Algorithms
William Andregg ushers me into the cluttered workshop of his startup Fathom Computing and gently lifts the lid from a bulky black box. Inside, green light glows faintly from a collection of lenses, brackets, and cables that resemble an exploded telescope. It’s a prototype computer that processes data using light, not electricity, and it’s learning to
https://www.wired.com/story/this-computer-uses-lightnot-electricityto-train-ai-algorithms/
Artificial Neurons Compute Faster Than the Human Brain
Superconducting computing chips modeled after neurons can process information faster and more efficiently than the human brain. That achievement, described in Science Advances on 26 January 1, is a key benchmark in the development of advanced computing devices designed to mimic biological systems. And it could open the door to more natural machine-learning
A Simple Sticker Tricked Neural Networks Into Classifying Anything as a Toaster
Image recognition technology may be sophisticated, but it is also easily duped. Researchers have fooled algorithms into confusing two skiers for a dog, a baseball for espresso, and a turtle for a rifle. But a new method of deceiving the machines is simple and far-reaching, involving just a humble sticker.
https://gizmodo.com/this-simple-sticker-can-trick-neural-networks-into-thin-1821735479
AI cyberattacks will be almost impossible for humans to stop
As cyberattacks become more refined, they will start mimicking our online traits. This will lead to a battle of the machines.
The Pentagon’s New Artificial Intelligence Is Already Hunting Terrorists
After less than eight months of development, the algorithms are helping intel analysts exploit drone video over the battlefield.
