Google's artificial intelligence proved more accurate in identifying breast cancer from mammograms than doctors, according to a study published in Nature yesterday. The initial results of Google's AI for breast cancer screening, found that the system was able to reduce the number of both false positives and false negatives in breast cancer detection. The study was born out of a collaboration between DeepMind (an Alphabet-owned company), Cancer Research UK Imperial Centre, Northwestern University and Royal Surrey Country Hospital. "These findings show that our AI model spotted breast cancer in de-identified screening mammograms (where identifiable information has been removed) with greater accuracy, fewer false positives, and fewer false negatives than experts," Shravya Shetty, technical lead at Google health, and Dr. Daniel Tse, product manager at Google health, wrote in a blog. "This sets the stage for future applications where the model could potentially support radiologists performing breast cancer screenings." Researchers found that the AI was able to reduce the percentage of false negative mammograms by 5.7% in the US and 1.2% in the UK.

Close-up of sign for gig economy meal delivery app Doordash, with text reading Doordash Pick up ... [ ] Here, in a restaurant setting in Lafayette, California, May 23, 2019. Earlier this year, Hudson Riehle from the National Restaurant Association said we're at a tipping point in the restaurant industry, pointing to the emergence of "essentially a new business model." In a nutshell, that means a majority of consumers, especially younger consumers, now prefer to eat their restaurant meals somewhere other than an actual restaurant whether that be via drive-thru, delivery, takeout, whatever. So, what comes on the other side of this tipping point? According to industry technology providers (in many cases, disruptors), the major narratives for 2020 include even more delivery, ghost kitchens, a more sophisticated point-of-sale system and artificial intelligence.

Radiology artificial intelligence (AI) was again the hottest topic at the 2019 Radiological Society of North America (RSNA) annual meeting in December. AI was a primary theme in the larger booths in the north and south expo floors, as well as on the new third expo floor dedicated AI showcase. The separate AI show floor did not make many AI vendors happy. Many wanted the artificial intelligence showcase on the same level as the other expo halls to reduce the shuttling between the floors for meetings. RSNA organizers pointed out to one startup that due to the sheer number of AI exhibitors, they had to give the showcase its own space.

TikTok parent company ByteDance has built technology to let you insert your face into videos starring someone else. TechCrunch has learned that ByteDance has developed an unreleased feature using life-like Deepfakes technology that the app's code refers to as Face Swap. Code in both TikTok and its Chinese sister app Douyin asks users to take a multi-angle biometric scan of their face, then choose from a selection of videos they want to add their face to and share. Users scan themselves, pick a video, and have their face overlaid on the body of someone in the clip with ByteDance's new Face Swap feature The Deepfakes feature, if launched in Douyin and TikTok, could create a more controlled environment where face swapping technology plus a limited selection of source videos can be used for fun instead of spreading misinformation. It might also raise awareness of the technology so more people are aware that they shouldn't believe everything they see online.

Right now, the NHS breast cancer screening program saves around 1,300 lives in the UK each year. But there are severe NHS staff shortages, particularly in the teams that help diagnose cancer, with some reports suggesting that up to one in 10 diagnostic posts are currently vacant. Throw in rising demand to the mix, and the future of these services could be in trouble. But new technology could help ease the situation. We've partnered with Google Health on research to develop artificial intelligence that not only has the potential to change the way we detect breast cancer but could also save the NHS time and money.

When it comes to AI, Elon Musk has a name in treating it like some aliens' attack or God's wrath upon us, even without an exaggeration. Speaking at MIT in 2014, he called AI humanity's "biggest existential threat" and compared it to "summoning the demon." He is very optimistic about all other technologies like neurotechnology, self-driving cars, Mars colonization, and others, but Artificial Intelligence always seems to scare him. I wonder if it really is something so dreadful as he says it is. Today, we will talk about the things he has said in the past years about AI implications and see if they are convincing enough.

As 2020 grinds into gear, CNET will be kick-starting a new decade with a trip to the Nevada desert for the annual tech bonanza CES. When we arrive in Las Vegas, we expect to be greeted by a bunch of new TVs, scores of eccentric gadgets and a whole gaggle of robots. We're still some years away from robots outnumbering humans at the show, but every year it does seem as though more bots are present on the show floor. In the past decade we've seen robots become more complex, more affordable and more diverse. The number of contexts in which they play a role in our lives -- from the home to the workplace and beyond -- have expanded to provide us with a vision of how humans and robots will coexist and collaborate in the future.

This article was submitted in response to the call for ideas issued by the co-chairs of the National Security Commission on Artificial Intelligence, Eric Schmidt and Robert Work. It addresses the first question (part a.), which asks how will artificial intelligence affect the character and/or the nature of war. AI itself is not new -- the first AI neural network was designed in 1943. But AI as a critical factor in competitions is relatively novel and, as a result, there's not much data to draw from. However, the data that does exist is striking. Perhaps the most interesting examples are in the world of chess.

Google's artificial intelligence system can identify breast cancer more accurately than radiologists, according to a study published in Nature on Wednesday. The model, created in collaboration with cancer researchers and Google Health, was trained on X-ray images, known as digital mammography, from women in the U.K. and U.S. to spot signs of breast cancer in the scans. Researchers used mammograms from 76,000 women in the U.K. and more than 15,000 women in the U.S., according to Google Health. Shravya Shetty, technical lead at Google Health who co-authored the study, said the results "exceeded expectations" and revealed possibilities that the AI could assist in workload reduction by being employed as a second reader with breast cancer screenings. Researchers noted that the model received less information than human experts, only processing the most recent of an anonymized mammogram.

After a U.S. airstrike kills Iranian Gen. Qassem Soleimani in Iraq, Secretary of State Mike Pompeo tells'Fox & amp; Friends' that President Trump's decision was necessary to deter further aggression. The U.N. special rapporteur on extrajudicial killing on Friday said the President Trump-approved drone strike against Qassem Soleimani, Iran's top general, violated international human rights law. In a lengthy Twitter thread, Agnès Callamard said that "outside the context of active hostilities, the use of drones or other means for targeted killing is almost never likely to be legal," adding that the U.S. would need to prove the person targeted constituted an imminent threat to others. She also took issue with the justification for using drones in another country on the basis of self-defense. "Under customary international law States can take military action if the threatened attack is imminent, no other means would deflect it, and the action is proportionate," she wrote.