Latest developments in artificial intelligence, machine learning, and automation for supply chain management - automatically updated daily
Director of CSAIL and MIT professor honored for her contributions to robotics, artificial intelligence, and autonomous systems.
MIT students and postdocs discussed science funding and research with policymakers in Washington during the MIT Science Policy Initiative's annual Congressional Visit Days.
Claude Design is a research preview under Anthropic Labs, powered by Claude Opus' vision capability, generating interactive prototypes with working navigation, embedded video, voice input, and 3D elem...
Discover 7 essential machine learning algorithms that every data scientist should know before reaching for LLMs and generative AI, with simple explanations and practical Python code.
Learn why clear business goals, data quality, simple models, careful validation, realistic costs, and human judgment matter more than chasing the latest technology.
The visionary PhysioNet platform launched 25 years ago, based on a system developed at MIT in the 1970s. It has become one of the most comprehensive biomedical and clinical data repositories in existe...
Five resources covering SLM architecture, fine-tuning, agentic workflows, and local deployment for data professionals.
Managed Agents Gemini 3.6 Flash, Hooks and Triggers
With this introductory guide to practical constraint decoding, you'll no longer need to beg your model to "output valid JSON without including any markdown."
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Discover five of the best AI tools for data analysis that can clean data, write code, create visualizations, and generate insights faster.
Compare KimiClaw's cloud-hosted AI agent platform against self-hosted OpenClaw across setup, privacy, and automation capabilities.
This article shows you up all the steps in building and deploying your first autonomous AI agents from start to finish.
Top 5 MCP Servers for High Performance Agentic Development 10 Newsletters Keeping You Ahead in AI Kaggle + Google's Free 5-Day Agentic AI Course Language Model Hallucination Evaluation with GraphEval
Turning the key principles and methodological stages of GraphEval into a simulated practical scenario to better understand its usefulness and key implications in understanding and combating LLM halluc...
PhD student Lauren Fortier is building on the experience she gained operating a nuclear plant for the Navy to solve a critical hurdle in the wider adoption of the energy source.
Initial research projects advance national priorities across natural resources, manufacturing, nuclear physics, and more.
Known for his clear and elegant writing style, Bertsekas shaped fields from control and optimization to large-scale computation and artificial intelligence.
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Assistant Professor Bailey Flanigan has arrived at complex computational methods for helping democracy thrive.
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Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.
Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.
Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources.
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Managed agents feature bundle launch
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Google, the New York Jobs CEO Council and Urban Assembly hosted an AI summit for 150 education and industry leaders.
AI models predict customer demand with 85-95% accuracy using historical data, seasonality, and external factors.
Machine learning determines optimal stock levels, reducing both stockouts and overstock situations.
AI algorithms find the most efficient delivery routes considering traffic, weather, and delivery windows.
Computer vision detects product defects with higher accuracy than manual inspection.
Predictive analytics identify supply chain disruptions before they occur.
AI-powered robots and systems optimize warehouse operations and reduce labor costs.
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