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"MIT researcher's at CSAIL have developed a lane-changing algorithm for self-driving cars. the algorithm allows for aggressive lane changes much like the kind only real drivers would be capable of.   it works by computing 'buffer zones' around autonomous vehicles and reassessing them on the fly. MIT uses a mathematically efficient approach which calculates new buffer zones if the default buffer zones lead to performance that's far worse than a human's driver."

"Their findings show that currently, only about 23 percent of wages paid for tasks involving vision are economically viable for AI automation. In other words, it's only economically sensible to replace human labor with AI in about one-fourth of the jobs where vision is a key component of the work. "

""Not just here in this country, or in the United States, but virtually every adult human in the world has a cellphone, and they're all putting out data about where they are, what their preferences are, who they talk to and that data will run the world. That's why I call it the decade of data. "This is the beginning of it, not the end of it, we're just at the start," Pentland added. "

"At its core, the researchers' "Planning with Uncertain Specifications" (PUnS) system gives robots the human-like planning ability to simultaneously weigh many ambiguous - and potentially contradictory - requirements to reach an end goal. In doing so, the system always chooses the most likely action to take, based on a "belief" about some probable specifications for the task it is supposed to perform."

"In fact the $60bn multinational has just been scooped by Nutonomy, a small MIT spin-out whose electric self-driving cabs have already started picking up real customers in a Singapore business park. Initially, riders will use Nutonomy's own app to summon hail a Mitsubishi i-Miev or a Renault Zoe, ramping up to a dozen vehicles in the coming months."

"More than 150 artificial intelligence researchers have signed an open letter calling for future research in the field to focus on maximising the social benefit of AI, rather than simply making it more capable. The signatories, which include researchers from Oxford, Cambridge, MIT and Harvard as well as staff at Google, Amazon and IBM, celebrate progress in the field, but warn that "potential pitfalls" must be avoided."

"Although we think we're doing several things at once, multitasking, this is a powerful and diabolical illusion. Earl Miller, a neuroscientist at MIT and one of the world experts on divided attention, says that our brains are "not wired to multitask well… When people think they're multitasking, they're actually just switching from one task to another very rapidly. "

"Researchers from MIT and Google recently showed off a machine learning algorithm capable of automatically retouching photos just like a professional photographer. Snap a photo and the neural network identifies exactly how to make it look better-increase contrast a smidge, tone down brightness, whatever-and apply the changes in less than 20 milliseconds."

"Qoves founder Shafee Hassan claimed to MIT Technology Review that beauty scoring is widespread; social media platforms use it to identify attractive faces and give them more attention."

"We seem to be safe for the moment, however - the MIT team said it has no interest in taking artificially intelligent horror machines to the next level or exploring their darker possibilities. "We wanted to playfully commemorate humanity's fear of AI, which is a growing theme in popular culture, but we currently have no plans to use the immense power of AI to scare people further," Yanardag said. "The world is already pretty scary!""

"What Hamilton and his colleagues found surprising was that this approach could also be applied to helping find problems with existing deep networks, related to the surge of "deepfakes" that have recently cropped up. They applied this data structure to find areas where probabilistic models, such as the generative adversarial networks (GANs) that are often used to create deepfakes, break down. They coined these problematic areas "blind spots," and note that they give us insight into how GANs can be biased. Such blind spots further show that GANs struggle to represent particular areas of a dataset, even if most of their fakes can fool a human. "

"Some are outraged at what they consider theft of their artistic trademark. Greg Rutkowski, a concept artist and illustrator well known for his golden-light infused epic fantasy scenes, has already been mentioned in hundreds of thousands of prompts used across Midjourney and Stable Diffusion. "It's been just a month. What about in a year? I probably won't be able to find my work out there because [the internet] will be flooded with AI art," Rutkowski told MIT Technology Review. "That's concerning.""

"The device tracks a single person with an accuracy of plus or minus 10 centimeters - about the size of an adult hand. Apart from the ability to "see" through a wall, its main advantage is that the person being tracked isn't required to wear a transmitter. While other location systems depend on Wi-Fi, this device can track a person's movements within the radius of its radio waves."

"OpenRemote is an open-source Internet of Things platform that could help spur smarter homes and cities. "

SilliBilliBoi - this might open up your article and portfolio piece a little more...