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Latest from MIT : How AI is improving simulations with smarter sampling techniques
Imagine you’re tasked with sending a team of football players onto a field to assess the condition of the grass (a likely task for them, of course). If you pick their positions randomly, they might cluster together in some areas while completely neglecting others. But if you give them a strategy, like spreading out uniformly…
Latest from MIT Tech Review – Turbo-charging productivity in Asia: the economic benefits of generative AI
When it comes to the ability to generate, arrange, and analyze content, generative AI is a gamechanger—one with transformative social and economic potential. As a technology that is democratized—one that doesn’t simply exist in a faraway lab or tech community in Silicon Valley, for instance—generative AI lowers the barriers to participation. In the age of…
Latest from MIT Tech Review – This new tool could protect your pictures from AI manipulation
Remember that selfie you posted last week? There’s currently nothing stopping someone taking it and editing it using powerful generative AI systems. Even worse, thanks to the sophistication of these systems, it might be impossible to prove that the resulting image is fake. The good news is that a new tool, created by researchers at…
Latest from Google AI – Graph neural networks in TensorFlow
Posted by Dustin Zelle, Software Engineer, Google Research, and Arno Eigenwillig, Software Engineer, CoreML Objects and their relationships are ubiquitous in the world around us, and relationships can be as important to understanding an object as its own attributes viewed in isolation — take for example transportation networks, production networks, knowledge graphs, or social networks….
O’Reilly Media – What Ants Teach Us About AI Alignment
I’ve been thinking a lot lately about a species of carpenter ant that lives in the mountains around Jerusalem. These tiny insects might just hold the key to one of AI’s biggest challenges: alignment. The ants in question are called Camponotus sanctus, and they do something remarkable that puts our most sophisticated AI systems to…
Latest from MIT : Combining next-token prediction and video diffusion in computer vision and robotics
In the current AI zeitgeist, sequence models have skyrocketed in popularity for their ability to analyze data and predict what to do next. For instance, you’ve likely used next-token prediction models like ChatGPT, which anticipate each word (token) in a sequence to form answers to users’ queries. There are also full-sequence diffusion models like Sora,…
