Latest developments in artificial intelligence, machine learning, and automation for supply chain management - automatically updated daily
Want to level up your data science toolkit? Here are some Python libraries that'll make your work easier.
Make extra money between classes with beginner-friendly freelance platforms that fit your lifestyle.
Three application preview cards: AI chess interface, Gemini 3 Flash logo, Google search bar.
A quick look at the top 7 agentic AI browsers that can search the web for you, fill forms automatically, handle research, draft content, and streamline your entire workflow.
Learn Docker by doing with five beginner-friendly projects covering hosting, multi-container apps, CI, and monitoring.
Best OCR and vision language models you can run locally that transform documents, tables, and diagrams into flawless markdown copies with benchmark-crushing accuracy.
The image depicts a visual collage or mosaic of multiple different images, with one image in the center that is black and displays the text "Gemini 3".
How can we reason with uncertainty and make smarter decisions from data? This article explains the key probability ideas in data science.
Looking ahead to 2026, the most impactful trends are not flashy frameworks but structural changes in how data pipelines are designed, owned, and operated.
MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.
A translucent blue rectangle lies against a black background with blue dots and lines. Within the rectangle is text saying 2025, along with a grid of 12 images, each representing a big Google AI momen...
This article explains how Gistr transforms the way data professionals interact with their most valuable asset: their accumulated knowledge.
This is a list of top LLM and VLMs that are fast, smart, and small enough to run locally on devices as small as a Raspberry Pi or even a smart fridge.
The image is a dark-themed illustration depicting three people interacting with technology, surrounded by various product icons.
AI agent trends report 2026 graphic
Spending too much time on repetitive tasks? These Python scripts will help you automate the mundane stuff that drains your productivity.
CSAIL researchers find even "untrainable" neural nets can learn effectively when guided by another network's built-in biases using their guidance method.
We're expanding our content transparency tools to help you more easily identify AI-generated content. You can now check if a video was edited or created with Google AI d...
Illustration of a developer participating in the Kaggle AI Agents Intensive, sitting with their laptop with Kaggle and Google logos.
MIT-IBM Watson AI Lab researchers developed an expressive architecture that provides better state tracking and sequential reasoning in LLMs over long texts.
Learn how Gemini 3 powers Google Search with Generative UI, Nano Banana, and interactive graphics.
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Gemini 3 Flash text
An AI-driven system lets users design and build simple, multicomponent objects by describing them with words.
Assistant Professor Yunha Hwang utilizes microbial genomes to examine the language of biology. Her appointment reflects MIT's commitment to exploring the intersection of genetics research and AI.
Nuclear waste continues to be a bottleneck in the widespread use of nuclear energy, so doctoral student Dauren Sarsenbayev is developing models to address the problem.
We're sharing a practical playbook to help organizations streamline and enhance sustainability reporting with AI.Corporate transparency is essential, but navigating frag...
The approach could apply to more complex tissues and organs, helping researchers to identify early signs of disease.
The "self-steering" DisCIPL system directs small models to work together on tasks with constraints, like itinerary planning and budgeting.
The new certificate program will equip naval officers with skills needed to solve the military's hardest problems.
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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