Toucan Dataset: Transforming AI Agents Into Digital Doers Toucan, a groundbreaking open-source dataset from IBM and the University of Washington is crafted to propel tool-calling capabilities in large language models (LLMs) to new heights. For AI to move bey... AI agents API integration benchmarking large language models machine learning open source tool-calling Toucan dataset
How Academic-Industry Collaboration Drives Impactful AI Innovation Artificial intelligence is reshaping nearly every facet of modern life, but its most significant advances arise when brilliant research meets real-world needs. By blending academic rigor with industry... academic collaboration AI efficiency AI impact AI innovation IBM Watson machine learning open science
Apple Unveils FS-DFM: A Leap Forward in Fast, High-Quality AI Text Generation AI-generated writing has always faced a trade-off between speed and quality—until now. Apple, collaborating with Ohio State University, has introduced a transformative language model that can rapidly ... AI research Apple diffusion models FS-DFM language models machine learning natural language processing text generation
How AI Became a Math Powerhouse: From Struggling Student to Innovative Collaborator Artificial intelligence has quickly evolved, moving from a limited ability to solve graduate-level math to outperforming human students on complex problems. This evolution is influencing not only the ... artificial intelligence DeepMind education machine learning mathematics research innovation theorem proving
MIT's AI is Powering Safer, More Reliable Fusion Energy Clean, virtually limitless, and emission-free is the promise of fusion energy, yet turning this dream into a safe and dependable reality has proven exceptionally difficult. One of the toughest challen... artificial intelligence energy reliability fusion energy machine learning plasma physics renewable energy tokamak
AI Is Fast-Tracking Precision Antibiotics for a Healthier Gut Thanks to innovative research from MIT’s CSAIL and McMaster University, researchers are leveraging a generative AI model to rapidly decoded how a novel antibiotics work, opening the door to targeted t... antibiotics artificial intelligence drug discovery gut health inflammatory bowel disease machine learning microbiome precision medicine
Harvard Researchers Are Programming Cells to Shape Themselves Scientists are closing in on powerful new ways to instruct living cells to grow into complex forms as easily as coding a computer program. Thanks to groundbreaking work at Harvard, where researchers h... AI bioengineering cellular biology computational biology machine learning organ design tissue engineering
Microsoft’s Analog Optical Computer: Illuminating the Next Era of AI and Problem Solving Computers that harnesses the speed of light to solve complex problems in a fraction of the time and energy it takes today are no longer science fiction. Microsoft researchers are forging ahead with an... AI analog computing energy efficiency finance healthcare machine learning optical computer optimization
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
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
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