Woo-hoo for Woo. Intuit + AWS. Machine learning to diagnose breast cancer. http://cognitionx.com/news-briefing/.
Yesterday, the UK government published their modern Industrial Strategy whitepaper, detailing their ‘plan to boost the productivity and earning power of people throughout the UK’. It sets a gameplan to ‘make the UK a global centre for artificial intelligence and data-driven innovation’, including an investment of £45M to support additional PhDs in AI and related disciplines.
This past June at CogX London, we convened the community of AI experts, thought leaders, practitioners, and experts to discuss the impact of AI on industry, society, and government. With almost 2,000 attendees and over 100 speakers, we generated 75+ hours of video and 18 full-length reports packed with insights.
If you buy a ticket for CogX 2018 before the end of November, we’ll waive the £1710 fee in order to give you free access to the reports and videos from last year’s event, which will help you understand the whole industry and give you deeper insight into the Industrial Strategy.
Tabitha UntiltheBotsTakeOver Goldstaub
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Woo — a marketplace that matches employers and passive job seekers — has announced it has landed $7 million in series A funding. Along with that new round, it has also launched a new AI-powered bot, Helena, that has a few impressive tricks up its digital sleeve.
Helena automatically scouts the best candidates, matching them
to your organisation and available roles. But the bot goes further than that. It approaches those candidates once they have been discovered, acting as a corporate headhunter. Woo claims that Helena performs almost 3x better than recruiting agencies, for whom about 20% of sourced candidates move on to interviews.
+Check out our report on how AI is transforming HR, from recruitment to retention
Intuit will use Amazon Web Services as its standard machine learning and artificial intelligence platform and plans to integrate AWS Lex technology for its QuickBooks Assistant and other products.The personal finance company has increasingly been using artificial intelligence in products such as Mint, QuickBooks and TurboTax.
DeepMind has announced their latest research partnership which will focus on breast cancer.
They’ll be working with a group of leading research institutions, led by the Cancer Research UK Centre at Imperial College London, and alongside the AI health research team at Google, to determine if cutting-edge machine learning technology could help improve the detection of breast cancer.
Our Head of Product, Julian Harris, has put out another great Medium piece, this time focusing on the important difference between AGI and ‘human emulation’ and why AGI isn’t enough.
Human Emulation…is AGI + enough accumulated learning to behave such that people don’t know (or care) that they’re not human. The Turing Test was a limited prototype for (2). You need AGI for Human Emulation, but AGI is very much just the first step, and both are so far, almost inconceivably hard.
Facebook also will use AI to prioritise particularly risky or urgent user reports so they’re more quickly addressed by moderators, and tools to instantly surface local language resources and first-responder contact info.
It’s also dedicating more moderators to suicide prevention, training them to deal with the cases 24/7, and now has 80 local partners like Save.org, National Suicide Prevention Lifeline and Forefront from which to provide resources to at-risk users and their networks.
Snap quietly launched new filters that recognise what’s being snapped and provide a contextually relevant border or sticker. The update comes ahead of a massive app redesign as the company tries to keep users and advertisers engaged. The filters began gradually rolling out to users last week, a Snap spokesperson confirmed to Mashable.
The filters will automatically appear in the user’s carousel of filters after they take a photo snap of something within a certain set of categories. These include items at concerts, beaches, pets, sports, and food, a Snap spokesperson told Mashable.
Tom Simonite discusses how a startup called Mythic is trying to revive analog computing for artificial intelligence. CEO and cofounder Mike Henry says it’s necessary if we’re to get the full benefits of artificial intelligence in compact devices like phones, cameras, and hearing aids.
Henry says internal tests indicate Mythic chips make
it possible to run more powerful neural networks in a compact device than a conventional smartphone chip. “This can help deploy deep learning to billions of devices like robots, cars, drones, and phones,” he says.