How to Use a PINN for a Navier-Stokes Inverse Problem
A from-scratch PyTorch build that recovers blood flow, viscosity, and wall shear stress in a narrowed artery from 40 noisy…
Category: General
Computational tools for society’s most complex challenges
As far back as she can remember, Cathy Wu ’12, MNG ’13 wanted to find ways to solve problems to…
Documenting the tech worker movement
Despite the “dot-com crash” in 2000, the tech industry remained an attractive career destination for many who believed technology represented…
Where the Agent Development Lifecycle Fits
Coordinating agent capability development with the application it powers The post Where the Agent Development Lifecycle Fits appeared first on…
The Recovery Loop: Why Safe Upgrades Taught Me More Than Clean Demos
Hermes Journey #7 The Recovery Loop: Why Safe Upgrades Taught Me More Than Clean Demos Seventh in the Hermes Journey…
How to Build a Control Plane for AI Agents
Giving an LLM permission to act, in 9 steps The post How to Build a Control Plane for AI Agents…
3 Questions: A new resource to empower young entrepreneurs
The book “Disciplined Entrepreneurship” by Bill Aulet, managing director of the Martin Trust Center for MIT Entrepreneurship and the Ethernet…
New tool lets users repair AI-generated 3D models, then fabricate them just the way they want
“What you see is what you get” is a guiding principle for many software engineers — create programs where the content…
Autoencoders vs. PCA: I Rigged the Test and PCA Still Won
A theoretical advantage that didn’t survive contact with a real benchmark. The post Autoencoders vs. PCA: I Rigged the Test…
Can an Apartment Search Agent Call the Model Fewer Times and Still Find Good Matches?
I traced 2,500 listing checks with Weights & Biases Weave, removed avoidable model work one change at a time, and…
What the ReLU Revolution Revealed About Biological Plausibility
The activation function was never a fixed biological commitment but a working hypothesis revised under empirical pressure. The post What…
Your AI Bill Is a Toll Booth. Stop Paying Twice.
The budget nobody saw coming The post Your AI Bill Is a Toll Booth. Stop Paying Twice. appeared first on…
How Many Stories Can Your Data Tell?
How the way we represent data can change what we think the data is saying The post How Many Stories…
MIT Transit Lab to develop an AI platform for public transit agencies
Google.org announced on Sept. 15 that the MIT Transit Lab is a recipient of $2.1 million in funding — one…
Introducing SynthID Bio
Proof of concept for watermarking AI-generated proteins while preserving biological function.
Central Command Taught Me That Dashboards Are Really Trust Systems
Hermes Journey #6 Central Command Taught Me That Dashboards Are Really Trust Systems Sixth in the Hermes Journey series. Summary:…
How to Solve Issues When You Nest Measures While Overwriting the Same Filter
In DAX, we reuse existing measures all the time when writing new measures. What happens when we write a measure…
I Compacted 1,000 Apache Iceberg Files Into 6. Here’s What Happened to Query Performance.
Benchmarking the impact of fewer, larger files across three SQL workloads The post I Compacted 1,000 Apache Iceberg Files Into…
AI Made Data Scientists Faster. Now It’s Expanding the Job.
The real shift is bigger than productivity: AI is reshaping ownership, judgment, and the career path of data scientists. The…
How to Design Architectural Guardrails Around AI Agents
Agent design patterns every data engineer must know The post How to Design Architectural Guardrails Around AI Agents appeared first…
Building Fair Evaluation Sets Is a Combinatorial Problem
Here’s how to solve it exactly. The post Building Fair Evaluation Sets Is a Combinatorial Problem appeared first on Towards…
The effects of an “algorithmic monoculture” depend on the details
AI tools are increasingly replacing human judgements in some settings. For instance, resume screening algorithms are often used in hiring,…
Guided Merge Sort : An Optimized Sorting that Picks the Best from Ordinary and Multi-Way Merge Sort Algorithms
A solution where the “goto” operator becomes irreplaceable. The post Guided Merge Sort : An Optimized Sorting that Picks the…
How to Make Your Own JEV Model from an Open LLM
Turn a small open-source Qwen LLM into a fast, single-pass text classifier by swapping its language-modeling head The post How…
The AI That Learned to Understand Long After It Stopped Trying
A small, strange discovery in machine learning called grokking The post The AI That Learned to Understand Long After It…
Bot Mode Changed the Question: Not What Can AI Do, But Who Should Be in the Room?
Hermes Journey #5 Bot Mode Changed the Question: Not What Can AI Do, But Who Should Be in the Room?…
How to Catch Data Drift When Every Feature Looks Normal
Detect hidden shifts in feature relationships with adversarial validation and scikit-learn The post How to Catch Data Drift When Every…
New formulation helps RNA vaccines withstand high temperatures
RNA vaccines, which have been proven effective against Covid-19, are now being developed for many other diseases, including cancer. One…
GraphRAG with TypeSafe Jev: A System One Approach to Scalable Knowledge Graphs
How calibrated decision models can handle high-frequency graph decisions while LLMs remain focused on reasoning, synthesis, and open-ended generation. The…
Good Architecture Deletes the Signals Your Agent Depends On
Every boundary you draw removes a signal your tooling was relying on. That is a structure problem, not a search…
AI Slop Is in Your Training Dataset Now. I Tested Three Ways to Spot It.
My AI detectors flagged many genuine reviews, and filtering them made the sentiment model less accurate. The post AI Slop…
Your LLM Has a Curved Space of Paragraphs
Inside a transformer, token index is a coordinate. Paragraph structure is what turns it into a metric. The post Your…
MIT students gain a humanist lens on technical innovation in Tulsa, Oklahoma
When MIT mechanical engineering student Daphne Wang arrived for her internship at the Muscogee Creek Nation Department of Health in…
10 Things I’m Learning Beyond AI to Become More Technologically Fluent
Part 1: Understanding the technologies shaping our future The post 10 Things I’m Learning Beyond AI to Become More Technologically Fluent…
Found Friday S5I9: AI agents are getting hands. Most businesses still have blindfolds on.
FOUND FRIDAY · SEASON 5 · ISSUE 9 AI agents are getting hands. Most businesses still have blindfolds on. The…
RAG Isn’t an Agent — I Built the Layer Between Retrieval and Action
RAG retrieves. Agents act. I built both separately, connected them explicitly, and ran the same nine tasks through all three…
Hermes Journey #4: Two Agents, One Chess Board, and the Protocol That Made It Work
Agent-to-agent coordination tested on a chess board. Photo by Martin Kopta via Wikimedia Commons (CC BY 3.0). Hermes Journey #4…
Jev vs. LLMs: When AI moves from Generation to Decision-making
I tested TypeSafe AI’s Jev on 3,080 classification tasks to see how its accuracy, latency, calibration, and confidence compare with…
Estimating suicide risk from text
When people reach out during a mental health crisis, a top priority for counselors is identifying those with a high…
How to Maximize Your Coding Agent Subscriptions
Get more out of your coding agent subscriptions The post How to Maximize Your Coding Agent Subscriptions appeared first on…
Beyond RAGs: Building Actually Truthful AI Harnesses
Retrieval is not evidence. How to build AI that proves its own claims. The post Beyond RAGs: Building Actually Truthful…
Towards Spec-Driven Test Automation: Part 1
Why a green test suite can mean nothing The post Towards Spec-Driven Test Automation: Part 1 appeared first on Towards…
The promise and peril of using visual AI to study cities
A few months ago, researchers from the MIT Senseable City Lab published a study about pollution in New York City…
Advancing Private AI Compute with secure, server-side memory
Introducing private, server-side memory to Private AI Compute for personal AI.
I Trained a Tiny Network to Compress Data. It Drew a Pentagon.
Reproducing Anthropic’s “Toy Models of Superposition” from scratch in NumPy, with hand-derived gradients and no borrowed numbers. The post I…
MIT welcomes David Siegel SM ’86, PhD ’91 as its next Innovation Fellow
David Siegel SM ’86, PhD ’91, a computer scientist, entrepreneur, and philanthropist, will serve as the next MIT Innovation Fellow…
How GRPO Trains Small Language Models with Verifiable Rewards
The mechanics behind local reasoning experiments with Unsloth and why the reward function matters as much as the model. The…