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Combining technology, education, and human connection to improve online learning | MIT News

MIT Morningside Academy for Design (MAD) Fellow Caitlin Morris is an architect, artist, researcher, and educator who has studied psychology and used online learning tools to teach herself coding and other skills. She’s a soft-spoken observer, with a keen interest in how…

Read MoreCombining technology, education, and human connection to improve online learning | MIT News

EPFL Researchers Introduce MEMOIR: A Scalable Framework for Lifelong Model Editing in LLMs

The Challenge of Updating LLM Knowledge LLMs have shown outstanding performance for various tasks through extensive pre-training on vast datasets. However, these models frequently generate outdated or inaccurate information and can reflect biases during deployment, so their knowledge needs to…

Read MoreEPFL Researchers Introduce MEMOIR: A Scalable Framework for Lifelong Model Editing in LLMs

How to Use python-A2A to Create and Connect Financial Agents with Google’s Agent-to-Agent (A2A) Protocol

Python A2A is an implementation of Google’s Agent-to-Agent (A2A) protocol, which enables AI agents to communicate with each other using a shared, standardized format—eliminating the need for custom integration between services. In this tutorial, we’ll use the decorator-based approach provided…

Read MoreHow to Use python-A2A to Create and Connect Financial Agents with Google’s Agent-to-Agent (A2A) Protocol

Celebrating an academic-industry collaboration to advance vehicle technology | MIT News

On May 6, MIT AgeLab’s Advanced Vehicle Technology (AVT) Consortium, part of the MIT Center for Transportation and Logistics, celebrated 10 years of its global academic-industry collaboration. AVT was founded with the aim of developing new data that contribute to…

Read MoreCelebrating an academic-industry collaboration to advance vehicle technology | MIT News

OpenBMB Releases MiniCPM4: Ultra-Efficient Language Models for Edge Devices with Sparse Attention and Fast Inference

The Need for Efficient On-Device Language Models Large language models have become integral to AI systems, enabling tasks like multilingual translation, virtual assistance, and automated reasoning through transformer-based architectures. While highly capable, these models are typically large, requiring powerful cloud…

Read MoreOpenBMB Releases MiniCPM4: Ultra-Efficient Language Models for Edge Devices with Sparse Attention and Fast Inference

StepFun Introduces Step-Audio-AQAA: A Fully End-to-End Audio Language Model for Natural Voice Interaction

Rethinking Audio-Based Human-Computer Interaction Machines that can respond to human speech with equally expressive and natural audio have become a major goal in intelligent interaction systems. Audio-language modeling extends this vision by combining speech recognition, natural language understanding, and audio…

Read MoreStepFun Introduces Step-Audio-AQAA: A Fully End-to-End Audio Language Model for Natural Voice Interaction

EPFL Researchers Unveil FG2 at CVPR: A New AI Model That Slashes Localization Errors by 28% for Autonomous Vehicles in GPS-Denied Environments

Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me,…

Read MoreEPFL Researchers Unveil FG2 at CVPR: A New AI Model That Slashes Localization Errors by 28% for Autonomous Vehicles in GPS-Denied Environments

AI-Generated Ad Created with Google’s Veo3 Airs During NBA Finals, Slashing Production Costs by 95%

A lone AI filmmaker, a cutting-edge generative video model, and a national TV spot during one of the year’s biggest sporting events. This isn’t the plot of a sci-fi movie; it’s the new reality of advertising, and it was created…

Read MoreAI-Generated Ad Created with Google’s Veo3 Airs During NBA Finals, Slashing Production Costs by 95%