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Google’s SMILY is reverse image search for cancer diagnosis

Spotting and diagnosing cancer is a complex and difficult process even for the dedicated medical professionals who do it for a living. A new tool from Google researchers could improve the process by providing what amounts to reverse image search for suspicious or known cancerous cells. But it’s more than a simple matching algorithm.

FaceApp gets federal attention as Sen. Schumer raises alarm on data use

It’s been hard to get away from FaceApp over the last few days, whether it’s your friends posting weird selfies using the app’s aging and other filters, or the brief furor over its apparent (but not actual) circumvention of permissions on iPhones. Now even the Senate is getting in on the fun: Sen. Chuck Schumer (D-NY) has asked the FBI and the FTC to look into the app’s data handling practices.

Investor Jocelyn Goldfein to join us on AI panel at TechCrunch Sessions: Enterprise

Artificial intelligence is quickly becoming a foundational technology for enterprise software development and startups have begun addressing a variety of issues around using AI to make software and processes much more efficient.

Watch Elon Musk’s Neuralink brain control interface startup presentation live

[youtube https://www.youtube.com/watch?v=r-vbh3t7WVI?version=3&rel=1&fs=1&autohide=2&showsearch=0&showinfo=1&iv_load_policy=1&wmode=transparent&w=640&h=360] One of Elon Musk’s stealthier endeavors is set to become a lot less stealthy tonight, with a presentation set for 8 PM PT (11 PM ET) streaming live directly...

AI photo editor FaceApp goes viral again on iOS, raises questions about photo library...

FaceApp. So. The app has gone viral again after first doing so two years ago or so. The effect has gotten better but these apps, like many other one-off viral apps, tend to come and go in waves driven by influencer networks or paid promotion. We first covered this particular AI photo editor from a team of Russian developers about two years ago.

Elon Musk’s Neuralink looks to begin outfitting human brains with faster input and output...

Neuralink, the Elon Musk-led startup that the multi-entrepreneur founded in 2017, is working on technology that’s based around “threads,” which it says can be implanted in human brains with much less potential impact to the surrounding brain tissue versus what’s currently used for today’s brain-computer interfaces. “Most people don’t realize, we can solve that with a chip,” Musk said to kick off Neuralink’s event, talking about some of the brain disorders and issues the company hopes to solve.

ContractPodAi scores $55M for its ‘AI-powered’ contract management software

ContractPodAi, a London-based startup that has developed what it describes as AI-powered contract lifecycle management software, is disclosing $55 million in Series B funding. The round is led by U.S.-based Insight Partners, with participation from earlier backer Eagle Investment.

Nexar’s Live Map is like Street View with pictures from 5 minutes ago

We all rely on maps to get where we’re going or investigate a neighborhood for potential brunch places, but the data we’re looking at is often old, vague or both. Nexar, maker of dashcam apps and cameras, aims to put fresh and specific data on your map with images from the street taken only minutes before.

FaceApp responds to privacy concerns 

FaceApp, the AI-powered selfie-editing app that’s been having another viral moment of late, has now responded to a privacy controversy that we covered earlier here.

Paige details first AI pathology tech with clinical-grade accuracy in new research paper

Researchers associated with Memorial Sloan Kettering Cancer Center and medical tech and computational pathology startup Paige have published a new article in the peer-reviewed medical journal Nature Medicine detailing its artificial intelligence-based detection system for identifying prostate cancer, skin cancer and breast cancer, which the company says achieves “near-perfect accuracy.” The tech described in the article, which employs deep learning trained on a data set of almost 45,000 slide images taken from more than 15,000 patients spanning 44 countries, is novel in that it can eschew the need to curate data sets for training first, which greatly decreases cost and time required to build accurate AI-based diagnostic tools.

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