MIT-IBM Watson Lab: How AI Scaling Laws Are Transforming LLM Training Efficiency Training large language models (LLMs) is an expensive endeavor, driving the need for strategies that maximize performance while minimizing costs. Researchers at the MIT-IBM Watson AI Lab have develope... AI cost efficiency LLM training machine learning model development research scaling laws
Paper2Agent: Transforming Research Papers into Interactive AI Agents Research papers are traditionally require readers and reviewers to interpret code, methods, and results independently. Paper2Agent aims to transform published research into interactive AI agents allow... AgentScope AI agents AutoGen Azure AI Agents Claude Code Code2MCP computational biology LangGraph MCP NotebookLM OpenAI Assistants OpenDevin open source reproducibility Stanford tutorial extraction
Microsoft Discovery Is R&D Powered by Agentic AI Microsoft Discovery is a revolutionary platform designed to embed agentic AI directly into the R&D process. Announced at Microsoft Build 2025, this enterprise-ready solution is set to redefine innovat... AI agents Azure computational science enterprise AI Microsoft Discovery R&D innovation scientific collaboration scientific research
How Attackers Exploited ViewState Deserialization to Breach Sitecore Deployments A sophisticated cyber campaign has targeted organizations running Sitecore products, exploiting a critical zero-day flaw ( CVE-2025-53690 ). Attackers gained remote code execution by abusing exposed A... cybersecurity deserialization incident response malware remote code execution Sitecore ViewState zero-day
Uni-LoRA: Ultra-Efficient Parameter Reduction For LLM Training Low-Rank Adaptation (LoRA) revolutionized how we fine-tune large language models by introducing parameter-efficient training methods that constrain weight updates to low-rank matrix decompositions (Hu... computational efficiency isometric projections linear algebra LoRA machine learning mathematics neural networks optimization parameter efficiency projection methods
How Reliable Are LLM Judges? Lessons from DataRobot's Evaluation Framework Relying on automated judges powered by Large Language Models (LLMs) to assess AI output may seem efficient, but it comes with hidden risks. LLM judges can be impressively confident even when they're w... AI benchmarking AI trust LLM evaluation machine learning open-source tools prompt engineering RAG systems
GSFit: Open-Source Plasma Reconstruction for Fusion Research Achieving practical fusion energy depends on understanding plasma behavior inside tokamaks, fusion machines that host conditions hotter than the sun’s core. Tokamak Energy’s introduction of GSFit , an... community collaboration diagnostics fusion energy Grad-Shafranov open source plasma reconstruction scientific software tokamak
Modular AI Agents Are Transforming Scientific Research at Harvard Artificial intelligence continues to evolve rapidly, with multimodal large language models showing remarkable learning and reasoning capabilities. However, scientific research presents unique challeng... AI APEX+ augmented reality human-AI collaboration modular AI robotics scientific research
Shai-Hulud: The First Self-Propagating npm Supply Chain Worm In September 2025, the JavaScript community experienced a watershed moment: the Shai-Hulud worm swept through npm, infecting over 100 popular packages. This attack was not just another instance of mal... DevSecOps GitHub incident response JavaScript malware npm security supply chain
Hugging Face’s FinePDFs Dataset For AI Training AI research has long relied on web-scraped content, but Hugging Face’s FinePDFs dataset is set to change the landscape. By sourcing over 475 million documents directly from PDFs, often considered too ... AI data engineering datasets Hugging Face language models machine learning open source PDF
IMAP Launch: Princeton's Bold Mission to Map Our Solar System’s Cosmic Shield In the final days before liftoff, Princeton’s Interstellar Mapping and Acceleration Probe (IMAP) stands poised to reshape our understanding of the solar system’s boundaries. This ambitious mission, se... heliosphere IMAP NASA particle acceleration Princeton University solar wind space missions space weather
MIT is Making Large Language Model Training Affordable: Insights from AI Scaling Laws Training large language models (LLMs) requires immense computational resources and significant financial investment. For many AI researchers and organizations, predicting model performance while keepi... AI efficiency AI research budget optimization LLM training machine learning model evaluation scaling laws