Three Ways to Ride the Flywheel of Cybersecurity AI

The business transformations that generative AI brings come with risks that AI itself can help secure in a kind of flywheel of progress. Companies who were quick to embrace the open internet more than 20 years ago were among the

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Transforming research ideas into meaningful impact is no small feat. It often requires the knowledge and experience of individuals from across disciplines and institutions. Collaborators, a Microsoft Research Podcast series, explores the relationships—both expected and unexpected—behind the projects, products, and services

does anyone have experience using AI image editors to turn photographs or paintings into colouring in book line drawings? I’m fairly naive with this stuff but would be keen to learn. If anyone has had luck with this and could

Fall will be here soon, so leaf it to GeForce NOW to bring the games, with 19 joining the cloud in September. Get started with the seven games available to stream this week, and a day one PC Game Pass

Heya, I’m an e-com manager, and I’ve been using an in-house LLM to streamline a lot of the tasks. Thought I’d share what I’ve been using it for. I’d also like it if you could share what you’ve been using

I recently tackled a challenge that I think a lot of us face: building a chatbot that can handle customer support queries without compromising user privacy. Creating a chatbot that can understand and respond to user queries while also protecting

Volvo Cars’ new, fully electric EX90 is making its way from the automaker’s assembly line in Charleston, South Carolina, to dealerships around the U.S. To ensure its customers benefit from future improvements and advanced safety features and capabilities, the Volvo

In creating a pair of new robots, researchers cultivated an unlikely component, one found on the forest floor: fungal mycelia. By harnessing mycelia’s innate electrical signals, the researchers discovered a new way of controlling ‘biohybrid’ robots that can potentially react

“Ahmed Abdeen Hamed, a visiting research fellow at Binghamton University, State University of New York, has created a machine-learning algorithm he calls xFakeSci that can detect up to 94% of bogus papers — nearly twice as successfully as more common