Latest developments in artificial intelligence, machine learning, and automation for supply chain management - automatically updated daily
A faculty member since 1999, Autor is a leading researcher in artificial intelligence and the work of the future.
Fine-tune open language models locally on your Mac using MLX. No cloud GPUs or costs required.
This article covers five concrete agentic workflows, one for each major stage of a data science pipeline.
To help robots do chores in places like homes and factories, a new approach from MIT uses one language model to clarify users' instructions, then another to ignore irrelevant info.
In this tutorial, we will show you how to use Gemini to create Google Sheets, build a useful table, generate formulas, analyze data, and improve the spreadsheet with follow-up prompts.
The Google Finance logo, surrounded by elements of the user interface
"Scientific American" showcases the history and future of America's scientific engine, highlighting promising young scientists and icons at MIT and beyond.
Take a practical look at multimodal, any-to-any systems for vision-language reasoning, speech interaction, document intelligence, real-time assistants, local deployment.
Follow this step-by-step path through the design, decision-making, and leadership skills that move an engineer into the architect's seat.
A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.
Explore the best local coding models for private AI coding, fast GGUF inference, agentic workflows, multimodal development, and running powerful open models on your own GPU.
During the AI and Society Forum, leading MIT researchers examined critical questions about AI's influence on employment and democracy.
This article breaks down each essential math discipline, explains its role in data science, and maps out an efficient learning path you can start today.
WebMCP is an open web standard that lets websites expose structured, callable tools directly to browser-based agents. Find out what makes it exciting.
Outliers can easily ruin the performance of any predictive analysis models you build: robustly detecting and handling them is crucial in any data project. This article lists and compares five essentia...
Researchers combined an efficient algorithm with dedicated hardware to rapidly generate 3D maps for navigation using minimal memory and power.
An in-depth review of ChatLLM by Abacus AI, covering supported AI models, AI agents, coding tools, integrations, pricing, usage limits, and how it compares to ChatGPT.
MIT researchers' approach captures subtle atomic patterns, improving predictions of material properties.
Leaders, faculty across MIT discuss fostering innovation and talent in Greater Boston in special series of articles published alongside the outlet's annual list of 'Tech Power Players'
Researchers show that for certain kinds of games, an overlooked class of algorithms performs much better than expected.
Research in "Nature" shows our conversational AI system matches primary care physicians in complex disease management.
A new spatial memory system for robots efficiently captures details about the objects they see while exploring their environment.
Google has announced a $1.5 billion investment for 2026 and 2027 to expand its data center campus in Jackson County, Alabama. Operating since 2019 on a repurposed former...
We're helping build the state's next-generation workforce and investing in energy programs.
A colorful, grain-textured collage of various items scattered across a light blue background. The items include a green bucket hat, a wooden clothes hanger, a blue-and-red striped collar, blue sunglas...
A collage of I/O-related images, including the Antigravity Coffee Co. pop-up, a colorful jellyfish and a still from the Timmy TPU video. The word AI repeats three times on the left of the image, and t...
We used Google AI Studio to vibe code a quiz about our top I/O 2026 announcements.
Gemini Omni & Gemini 3.5 hero
University of Waterloo students develop AI prototypes like sign language tutors to reshape the future of education and work.
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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