Here’s how researchers in Asia-Pacific are using AlphaFold
Learn more about AlphaFold, Google’s AI system that accurately predicts protein structures.
Learn more about AlphaFold, Google’s AI system that accurately predicts protein structures.
Goldman Sachs has led Harness’s Series E round, with participation from IVP, Menlo Ventures, and Unusual Ventures.
The U.S. Department of Energy’s National Nuclear Security Administration (DOE/NNSA) recently announced that it has selected MIT to establish a new research center dedicated to advancing the predictive simulation of extreme environments, such as those encountered in hypersonic flight and atmospheric re-entry. The center will be part of the fourth phase of NNSA’s Predictive Science Academic Alliance Program (PSAAP-IV), which supports frontier research advancing the predictive capabilities of high-performance computing for open science and engineering applications relevant to national security […]
Key Highlights: Google has been heavily criticized for sprinkling sponsored results across search results. No doubt, ads are one of the major driving forces of any company’s revenue. But when ads start getting in the way of how a user uses a product or service, things start to get annoying. Let’s be honest, we all hate ads, and when a new report circulated yesterday claiming that Google is mulling over the idea of showing ads in Gemini tools, […]
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When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational and financial budget. Since training a model can amount to millions of dollars, developers need to be judicious with cost-impacting decisions about, for instance, the model architecture, optimizers, and training datasets before committing to a model. To anticipate the quality and accuracy of a large model’s predictions, practitioners often turn to scaling laws: using smaller, cheaper models to try to approximate […]
Learn how OpenAI’s new certifications and AI Foundations courses help people build real-world AI skills, boost career opportunities, and prepare for the future of work.
During the first days of this Machine Learning Advent Calendar, we explored models based on distances. Today, we switch to a completely different way of learning: Decision Trees. With a simple one-feature dataset, we can see how a tree chooses its first split. The idea is always the same: if humans can guess the split visually, then we can rebuild the logic step by step in Excel. By listing all possible split values and computing the MSE for […]
When it comes to artificial intelligence, MIT and IBM were there at the beginning: laying foundational work and creating some of the first programs — AI predecessors — and theorizing how machine “intelligence” might come to be. Today, collaborations like the MIT-IBM Watson AI Lab, which launched eight years ago, are continuing to deliver expertise for the promise of tomorrow’s AI technology. This is critical for industries and the labor force that stand to benefit, particularly in the […]
What can we learn about human intelligence by studying how machines “think?” Can we better understand ourselves if we better understand the artificial intelligence systems that are becoming a more significant part of our everyday lives? These questions may be deeply philosophical, but for Phillip Isola, finding the answers is as much about computation as it is about cogitation. Isola, the newly tenured associate professor in the Department of Electrical Engineering and Computer Science (EECS), studies the fundamental […]