While AI and machine learning are buzzwords, Symantec’s Nick Savvides said, during this year’s AusCERT conference they have been a big deal in computing circles since the 1950s. But it was in the 1980s when AI came into mainstream thinking a culture.
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There’s a 50% chance that artificial intelligence (AI) systems will be able to perform every single task better than their human counterparts in the next 45 years, according to researchers from Oxford and Yale University.
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Google has reportedly put together an investment program specifically for artificial intelligence ventures. The venture capital program is led by Anna Patterson, Google’s VP of engineering, according to Axios.
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Imagine a future when you can tell your coffee machine to make coffee with the sound of your voice or tell the lights to switch on in any room of your house just by talking.
That kind of automation once required hundreds of dollars of investment in new gear, but Google is bringing that future to everyone.
The recent release of the tech company’s first open source hardware project is opening doors for ‘makers’ the world over looking to create their own voice assistants, just like Amazon’s Alexa and Apple’s Siri. Google’s Voice Kit comprises a natural language recognizer powered by a Raspberry Pi that can be paired with the Google Assistant to create your own personal Amazon Echo, all in the size of a small cube.
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If I asked you “how many computing devices do you own?” your mind will probably first jump to your PCs and laptops at home, and then to your smartphones and tablets. The more tech savvy might include smartwatches, TVs, and video game systems. But there’s one computing device that not many people think about as a computing device: the car infotainment system.
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One persistent criticism of Silicon Valley is that it no longer works on big, world-changing ideas. Every few months, a dumb start-up will make the news — most recently the one selling a $700 juicer — and folks outside the tech industry will begin singing I-told-you-sos.
But don’t be fooled by expensive juice. The idea that Silicon Valley no longer funds big things isn’t just wrong, but also obtuse and fairly dangerous.
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As I have written in my last two articles (Machine Learning Everywhere and Preparing Data for Machine Learning), machine learning is influencing our lives in numerous ways.
Machine learning is everywhere, and although the theory and practice both can take some time to learn and internalize, the basics are fairly straightforward for people to learn.
The basic idea behind machine learning is that you build a model—a description of the ways the inputs and outputs are related. This model then allows you to ask the computer to analyze new data and to predict the outputs for new sets of inputs. This is essentially what machine learning is all about.
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It’s been a long time in the works, but a memory management feature intended to give machine learning or other GPU-powered applications a major performance boost is close to making it into one of the next revisions of the kernel.
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After microcontrollers and embedded programming for, ermm, the sake of programming, the next hot thing is: AI at DIY level.
With AIY Projects, Google claims, Makers can use artificial intelligence to make human-to-machine interaction more like human-to-human interactions. They promise to release a series of reference kits, starting with voice recognition.
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Artificial intelligence-powered robots are coming along so fast that they could start replacing doctors, lawyers and IT workers within the next five years, according to a new prediction. It’s hardly a new forecast of course, but this time it comes from respected analyst firm Gartner Inc.
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