Latest developments in artificial intelligence, machine learning, and automation for supply chain management - automatically updated daily
A concise set of questions to evaluate an AI engineer's understanding of agentic systems using LLMs, tools, and autonomous workflows....
Tools like GitHub Copilot, Claude, and Google’s Jules have evolved from autocomplete assistants into coding agents that can plan, build, test, and even review code asynchronously....
PhD student Miranda Schwacke explores how computing inspired by the human brain can fuel energy-efficient artificial intelligence....
Technical screening is not only about technical knowledge. Here’s what companies really test in technical interviews....
Google Earth AI helps enterprises, nonprofits, and cities with everything from environmental monitoring to disaster response...
Discover the top open source video generation models that rival Veo 3 and prioritize your privacy and control....
Professors Facundo Batista and Dina Katabi, along with three additional MIT alumni, are honored for their outstanding professional achievement and commitment to service....
Here are some tips on how to avoid the typical traps of the human mind and help people get your data storytelling....
Discover the top Chrome extensions transforming your browser into an autonomous workspace, from workflow automation to intelligent research and memory-powered productivity....
Illustration showing a laptop with the British flag and the London skyline in the background....
How the MIT-IBM Watson AI Lab is shaping AI-sociotechnical systems for the future....
This article will guide you through advanced grouping techniques using the Pandas library to handle these complex scenarios effectively....
Say hello to Google Skills...
What you need is a system to support the formation of goals within a structure that enables turning these broad ambitions into concrete, achievable targets. This article will provide a simple three-st...
As a data analyst, your time is better spent on insights, not repetitive tasks. These five Python scripts help you work faster, cleaner, and smarter....
Discover how to seamlessly integrate the GLM-4.6 model into your workflow with the $3 GLM Coding Plan, and unlock the potential to create dynamic web applications effortlessly....
One Playground in Google AI Studio...
To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearrang...
Blue graphic DNA double helix with text: "A decade of genomics research at Google."...
An overview of DeepSomatic, a new AI tool that helps identify complex genetic...
After being trained with this technique, vision-language models can better identify a unique item in a new scene....
The former department chair was an early innovator in the use of artificial intelligence to both study and influence how children learn music....
Media Lab PhD student Kimaya Lecamwasam researches how music can shape well-being....
Veo 3.1 text with stills from generated videos...
Man viewing phishing text, woman viewing "wrong password" screen, centered blue Google shield....
A dark blue and black abstract slide featuring a large, blurred cell-like structure in the center. The text "Cell2Sentence Scale 27B" is in white. The word "Gemma" is visible in the bottom right corne...
An algorithm can change the face of food assistance policy in the Global South, says MIT assistant professor and J-WAFS researcher Ali Aouad....
An image for the photo gallery app Google Photos shows three examples of how users can edit their photos by just asking. On the left, a chihuahua in a pink harness is edited to wear a cute pumpkin cos...
Acting as a “virtual spectrometer,” SpectroGen generates spectroscopic data in any modality, such as X-ray or infrared, to quickly assess a material’s quality....
Co-founded by an MIT alumnus, Watershed Bio offers researchers who aren’t software engineers a way to run large-scale analyses to accelerate biology....
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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