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Apple's new AI strategy might also play a key role in its upgrade-your-iPhone strategy. The company used its annual developer conference today as a platform to announce Apple Intelligence, a decidedly non-generative nomenclature for a suite of new AI features that, like other generative AI tools, are trained on massive datasets. Apple's approach is an additive one, relying on the influence and footprint of its existing apps rather than spinning up a new chatbot or web browser that spits out humanlike responses. Once Apple Intelligence rolls out to iPhones, Macs, and iPads later this year, it supposedly will turn sketches into images, sort through photos and videos, rewrite emails, change the tone of messages, and allow its voice assistant Siri to tap into different apps to string together smarter responses. There's just one catch: It won't work on your old iPhone.

Nvidia CEO Jensen Huang said in a conference call with analysts that regulators would not budge in their opposition to Nvidia's proposed $80 billion acquisition of Arm. "We gave it our best shot, but the headwinds were too strong and we could not get regulators to approve our deal," Huang said. As a result, the company terminated its efforts to buy Arm. Arm's CEO Simon Segars resigned and SoftBank said Arm would attempt an initial public offering instead in the coming year. Huang made the comments in a conference call with analysts after the earnings for the fourth quarter ended January 30 were announced.

Sometimes deciding when to keep a photo can almost be as tough as snapping it in the first place. Canon, however, hopes to help make the process of culling an extensive photo library down to your best shots easier and less time-consuming. It's introducing a new app that features a computer vision algorithm that will assist you with choosing the best image in a series of either unrelated or similar photos. The software takes into consideration four criteria when grading your snaps. It will look at whether they're sharp and free of unsightly digital noise, in addition to examining the "emotions" on display as well as checking to see if your subject has their eyes open in the case of a portrait shot.

Sitting in a U.N. committee meeting in Geneva earlier this year in a session on Lethal Autonomous Weapons Systems (aka killer robots), I was shocked to hear the American delegates claim that AI-powered automated warfare could be safe and reliable. Not only are they wrong, but their thinking endangers us all. It's the same logic that led to the Cold War, the nuclear arms race and the Doomsday Clock. I quit my job at a young, promising tech company in January in protest precisely because I was concerned about how the Pentagon might use AI in warfare and how the business I was part of might contribute to it. I have seen close up the perils of this unreliable but powerful technology, and I have since joined the International Committee for Robot Arms Control (ICRAC) and the Campaign to Stop Killer Robotsto make sure that AI is used responsibly, even in cases of war.

With threats, bribes, diplomacy and sanctions, American presidents of both parties have sought for 25 years to try to halt, or at least slow, North Korea's quest for a nuclear arsenal -- to no avail. Though the brinksmanship of the last few weeks has subsided, President Trump still faces the prospect of a madman -- Kim Jong Un -- in control of a nuclear arsenal. What the United States and its allies must now do is find options between conventional war, or even nuclear holocaust, on the one hand, and appeasement on the other. The answer could be robotic, cyber, and space weapons -- if we have the will to deploy them. They already have been used for pinpoint strikes on terrorist leaders and insurgent forces in the Mideast.

It isn't easy to capture the best shots in a golf tournament that is being televised. And that's why IBM is applying the artificial intelligence of its Watson platform to the task of identifying the best shots at The Masters golf tournament. For the first time at a sporting event, IBM is harnessing Watson's ability to see, hear, and learn to identify great shots based on crowd noise, player gestures, and other indicators. IBM Watson will create its own highlight reels. With 90 golfers playing multiple rounds over four days, video from every tee, every hole, and multiple camera angles can quickly add up to thousands of hours of footage.

This June, we published a big story--Shane Bauer's account of his four-month stint as a guard in a private prison. That's "big," as in XXL: 35,000 words long, or 5 to 10 times the length of a typical feature, plus charts, graphs, and companion pieces, not to mention six videos and a radio documentary. It was also big in impact. More than a million people read it, defying everything we're told about the attention span of online audiences; tens of thousands shared it on social media. The Washington Post, CNN, and NPR's Weekend Edition picked it up.