Latest from Google AI – Simulations illuminate the path to post-event traffic flow

Posted by Yechen Li and Neha Arora, Software Engineers, Google Research Fifteen minutes. That’s how long it took to empty the Colosseum, an engineering marvel that’s still standing as the largest amphitheater in the world. Two thousand years later, this design continues to work well to move enormous crowds out of sporting and entertainment venues….

Latest from MIT Tech Review – These six questions will dictate the future of generative AI

It was a stranger who first brought home for me how big this year’s vibe shift was going to be. As we waited for a stuck elevator together in March, she told me she had just used ChatGPT to help her write a report for her marketing job. She hated writing reports because she didn’t…

Latest from MIT Tech Review – Navigating a shifting customer-engagement landscape with generative AI

One can’t step into the same river twice. This simple representation of change as the only constant was taught by the Greek philosopher Heraclitus more than 2000 years ago. Today, it rings truer than ever with the advent of generative AI. The emergence of generative AI is having a profound effect on today’s enterprises—business leaders…

Latest from Google AI – Advancements in machine learning for machine learning

Posted by Phitchaya Mangpo Phothilimthana, Staff Research Scientist, Google DeepMind, and Bryan Perozzi, Senior Staff Research Scientist, Google Research With the recent and accelerated advances in machine learning (ML), machines can understand natural language, engage in conversations, draw images, create videos and more. Modern ML models are programmed and trained using ML programming frameworks, such…

Latest from Google AI – StyleDrop: Text-to-image generation in any style

Posted by Kihyuk Sohn and Dilip Krishnan, Research Scientists, Google Research Text-to-image models trained on large volumes of image-text pairs have enabled the creation of rich and diverse images encompassing many genres and themes. Moreover, popular styles such as “anime” or “steampunk”, when added to the input text prompt, may translate to specific visual outputs….

Latest from MIT : Image recognition accuracy: An unseen challenge confounding today’s AI

Imagine you are scrolling through the photos on your phone and you come across an image that at first you can’t recognize. It looks like maybe something fuzzy on the couch; could it be a pillow or a coat? After a couple of seconds it clicks — of course! That ball of fluff is your…

Latest from MIT : Computational model captures the elusive transition states of chemical reactions

During a chemical reaction, molecules gain energy until they reach what’s known as the transition state — a point of no return from which the reaction must proceed. This state is so fleeting that it’s nearly impossible to observe it experimentally. The structures of these transition states can be calculated using techniques based on quantum…

Latest from MIT : AI meets climate: MIT Energy and Climate Hack 2023

The MIT Energy and Climate Hack brought together participants from myriad fields and disciplines to develop rapid, innovative solutions to one of the most complex challenges facing society today: the global energy and climate crisis. Hundreds of students from MIT and colleges across the globe convened on MIT’s campus and virtually for this year’s event, which…

Latest from MIT Tech Review – Now we know what OpenAI’s superalignment team has been up to

OpenAI has announced the first results from its superalignment team, the firm’s in-house initiative dedicated to preventing a superintelligence—a hypothetical future computer that can outsmart humans—from going rogue. Unlike many of the company’s announcements, this heralds no big breakthrough. In a low-key research paper, the team describes a technique that lets a less powerful large…