Discussing the limits of artificial intelligence

(…)hey we have these systems now that are pretty good at learning if you have gigabytes of data, and that’s great work if you can get it, and you can get it sometimes. So speech recognition, if you’re talking about white males asking search queries in a quiet room, you can get as much labelled data, which is critical, for these systems as you want. This is how somebody says something and this is the word written out. But my kids don’t need that. They don’t have labelled data, they don’t have gigabytes of label data they just kind of watch the world and they figure all this stuff out.

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Police hear a pitch for free body cameras, with a side of AI

Axon — you used to know it as Taser — announced Wednesday that it’s offering body cameras for free to all police departments in the US for up to one year. If officers opt in for Axon’s data collection, the company will get much-needed data to build its artificial intelligence program.

That’ll be yet another step in the march of progress for AI, which is infiltrating seemingly every job, from insurance agent to bartender. Body camera makers such as Axon and Vievu want to let machines sort through vast amounts of video so police officers can spend less time behind computers. The AI systems would learn to recognize faces, weapons and voices, transforming tedium into an automated process.

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Google says its AI chips smoke CPUs, GPUs in performance tests

Google tested the chips on six different neural network inference applications, representing 95 percent of all such applications in Google’s data centers. The applications tested include DeepMind AlphaGo, the system that defeated Lee Sedol at Go in a five-game match last year.

The company tested the TPUs against hardware that was released around roughly the same time to try and get an apples-to-apples performance comparison. It’s possible that newer hardware would at least narrow the performance gap.

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Darktrace’s AI is now automatically responding to hacks – and stopping them

The British cybersecurity startup uses machine learning to hunt for odd behaviour on corporate systems, meaning its Enterprise Immune System can spot zero-days and other hard to find attacks. Antigena is the latest effort, extending the automation to the response. After a period of testing with a number of companies, the firm is making Antigena available for all.

“Antigena is a further set of AI-type components all about making smart or autonomous decisions to stop the unexpected in businesses in a way that has lots of context, so we can buy security teams time to respond,” Palmer says. “The system helps to have your back on things that you weren’t expecting to happen.”

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