Category: Machine Learning

AI, chess and human.

To Build A Better AI Helper, Start By Modeling The Irrational Behavior Of Humans

A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals. Adam Zewe | MIT NewsMIT News (https://news.mit.edu/2024/building-better-ai-helper-starts-with-modeling-irrational-behavior-0419) To build AI systems that can collaborate effectively with humans, it helps to…

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Using Deep Learning To Image The Earth’s Planetary Boundary Layer

Lincoln Laboratory researchers are using AI to get a better picture of the atmospheric layer closest to Earth’s surface. Their techniques could improve weather and drought prediction. Haley Wahl | MIT Lincoln LaboratoryMIT News (https://news.mit.edu/2024/using-deep-learning-image-earths-planetary-boundary-layer-0418) Although the troposphere is often thought of as…

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Model Innovators: How Digital Twins Are Making Industries More Efficient

From Taiwan to Germany, companies are seeing the benefits of physics-informed models and simulations with NVIDIA Modulus and Omniverse. A manufacturing plant near Hsinchu, Taiwan’s Silicon Valley, is among facilities worldwide boosting energy efficiency with AI-enabled digital twins. A virtual model can help…

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Anthropic’s Claude 3 Sonnet And Claude 3 Haiku Are Now Generally Available On Vertex AI

Earlier this month, we shared the news that Anthropic’s Claude 3 family of models would soon be available to Google Cloud customers on Vertex AI Model Garden. Today, we’re announcing that Claude 3 Sonnet and Claude 3 Haiku are generally available to all customers on Vertex AI. Claude 3 Opus,…

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What’s Next (Maybe) For Generative AI, Foundation Models, Large Language Models, et al. v0.1.

The trajectory beyond Large Language Models (LLMs) involves advancements across technical, engineering, infrastructure, and global market dimensions. Looking into the future, several key areas are poised to shape the next wave of innovations in artificial intelligence (AI) and machine learning (ML)….

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On-Device ML Research With MLX And Swift

The Swift programming language has a lot of potential to be used for machine learning research because it combines the ease of use and high-level syntax of a language like Python with the speed of a compiled language like C++. MLX is…

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Large Language Model

AWS Is Readying LLM-Based Debugger For Databases To Take On OpenAI

AWS researchers have published a paper that pitches a proprietary LLM-based debugger, dubbed Panda, against OpenAI’s GPT-4. AWS researchers are working on developing a large language model-based debugger for databases in an effort to help enterprises solve performance issues in such systems….

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AI Agents Help Explain Other AI Systems

MIT researchers introduce a method that uses artificial intelligence to automate the explanation of complex neural networks. Rachel Gordon | MIT CSAILhttps://news.mit.edu/2024/ai-agents-help-explain-other-ai-systems-0103 Explaining the behavior of trained neural networks remains a compelling puzzle, especially as these models grow in size and…

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AI Accelerates Problem-Solving In Complex Scenarios

A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation. Adam Zewe | MIT NewsMIT News (https://news.mit.edu/2023/ai-accelerates-problem-solving-complex-scenarios-1205) While Santa Claus may have a magical sleigh and nine plucky reindeer to…

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IBM And NASA Are Building An AI Foundation Model For Weather And Climate

The goal is to improve the speed, accuracy, and accessibility of weather forecasting and other climate applications. Foundation models are fast becoming indispensable tools for writing code, translating languages, and summarizing virtually any text, no matter how complex. Predicting the weather…

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