Building Strength & Ingenuity: How Manchester Global School Is Redefining Holistic Education Through Sport & Innovation

Manchester Global School in Hyderabad integrates world-class sports infrastructure and innovation labs with IB and CBSE ...

AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
InfoWorld

Researchers propose a self-distillation fix for ‘catastrophic forgetting’ in LLMs

LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and ...

From code factories to AI orchestrators: Why engineering education must be rebuilt

Explore the urgent need to transform India's engineering education to meet evolving demands in the AI-driven job market.
Semiconductor Engineering

Catching Critical Defects In TSVs And Stacked Chips

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
VentureBeat

Google’s new AI training method helps small models tackle complex reasoning

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
unlv

The Power of Project-Based Learning: How Alum Mike Taack is Transforming Learning With WYLEES

“Is this even important?” “Why do I need to learn this?” As a middle school educator for over 15 years, Mike Taack, ‘11 M.Ed. Secondary Curriculum and Instruction, had heard those questions from his ...
marktechpost

Microsoft AI Introduces rStar2-Agent: A 14B Math Reasoning Model Trained with Agentic Reinforcement Learning to Achieve Frontier-Level Performance

Large language models have made impressive strides in mathematical reasoning by extending their Chain-of-Thought (CoT) processes—essentially “thinking longer” through more detailed reasoning steps.
Psychology Today

Problem Solver or Problem Maker? Learning Math With AI

Source: Olia Danilevich / Pexels Three years ago, the public release of OpenAI’s ChatGPT, the world’s most popular large language model, signaled that the Age of Artificial Intelligence had well and ...
Frontiers

Effect of problem-based learning combined with seminar versus traditional teaching method in medical education in China: a systematic evaluation and meta-analysis

Objectives: This study systematically evaluates the effectiveness of combining problem-based learning with the seminar teaching method and the traditional lecture-based learning model in medical ...