Bruce Hebbard

Huge congratulations to Prof. @radamihalcea for being elected to the American Academy of Arts & Sciences! 🌟 One of the nation’s highest honors, recognizing her pioneering work in NLP and ethical AI at @UMich. 👏 🔗More: myumi.ch/2jN6z #AI #NLP #UMich #WomenInSTEM #AAAS

What are you doing to celebrate #jazzmusic today?

Vibrant sky at sunrise in Washington DC today 🌅

Honoring Michigan AI Director @radamihalcea!🌟 Her election to the American Academy of Arts & Sciences highlights her leadership in #NLP, cross-cultural #AI, and social impact.🎉 #AcademicExcellence record.umich.edu/articles/three…

Big showing at #ICLR2026! 🚀🌍 Researchers from @UMichCSE are presenting 11 papers spanning #LLMs, multimodal reasoning, graph learning, and #AI safety. Don't miss them!⬇️ cse.engin.umich.edu/stories/cse-re…

NTSB issued a preliminary report on the March 22 collision between a Jazz Aviation–operated Air Canada Express CRJ‑900 airplane and a fire truck on Runway 4 at LaGuardia Airport in New York, New York. data.ntsb.gov/carol-repgen/a…

BREAKING: Metro’s board of directors votes unanimously to approve a plan that calls for the Red Line to become fully automated, meaning trains could run without operators. Metro leaders caution the project is dependent on federal money-the earliest it could launch is 2032. #wmata

A single GPU can now calculate hundreds of global weather scenarios in under 60 seconds. The exact same task requires a supercomputer and hours of brute-force physics. Google DeepMind recently released WeatherNext 2. The model beats the previous state-of-the-art system on 99.9% of weather variables across a 15-day forecast window. It achieves this massive jump in accuracy using a new modelling approach called a Functional Generative Network. Meteorologists categorise weather data into two buckets: 1. Marginals are isolated data points, like the precise temperature at a specific location or the wind speed at a certain altitude. 2. Joints are the massive, interconnected systems that form when all those individual elements interact. The researchers hid the joint systems from the model during training. They only taught it the isolated marginals. When they turned it on, the model skillfully predicted the massive, complex systems anyway. The architecture forces an 87-million-dimensional output distribution through a 32-dimensional mathematical bottleneck. To survive this severe constraint and still produce accurate individual data points, the neural network has no choice but to learn the underlying physics linking everything together. It figures out the weather because that’s the most efficient way to solve the maths. The practical results are immediate. The model gives forecasters a full 24-hour advantage in tropical cyclone tracking compared to the previous leading system. It maps extreme wind speeds and heatwaves with unprecedented precision. We’re watching a pretty big shift in predictive capabilities. The machine is deducing the structural reality of planetary weather from isolated fragments of data.

Reported subway crash between a work train and a subway train at Metro Center. About a half dozen injuries that initially appear minor. #wmata

Metro‘s board expected to vote Thursday on budget that includes plans to make the Red Line fully automated to the point where trains could run without operators. Platform screen doors would be installed at Red Line stations. Expansion to other lines would depend on funding #wmata

Media Advisory: NTSB to hold two-day Investigative Hearing on November 2025 UPS Cargo airplane crash in Kentucky. ntsb.gov/news/press-rel…

Stay in the loop 👀 Check out our 📩newsletter 📩 for the latest updates on #AI Lab faculty, students, and their groundbreaking research work: 🔗shorturl.at/SYK0M

Andrew Anderson captured this incredible photo of the tornado north of Webb, #Iowa this evening. #iawx

Researchers just proved that every single elementary function, sin, exp, log, sqrt, comes from one single binary operator. It is like finding the “God Particle" for calculus. In computer science, every complex program breaks down to a single logical operator: the NAND gate. It is the fundamental building block of all digital reality. But for continuous math, physics, engineering, machine learning, we thought we needed a massive toolbox. Addition. Subtraction. Trigonometry. Logarithms. Every scientific calculator and neural network has to juggle all of them. Until today. But this paper proved that every single mathematical function can be generated by a single, bizarre binary operator. eml(x,y) = exp(x) - ln(y). Combine that with the number 1, and you can build everything. Pi. The square root. Sine and Cosine. Arithmetic. It is all just the exact same operator, repeating over and over again in a binary tree. Nobody anticipated this existed. It was found by systematic exhaustive search. But the implications for AI are massive. Instead of an AI struggling to combine different mathematical rules to discover a new scientific law, it can just use a single, uniform architecture. One trainable circuit. One repeatable node. We thought the language of the universe was complex. It turns out, it's just one equation repeating in the dark.

Celebrating @wmata’s 50th anniversary @wmataGM points out that Red Line carries more people than fly in one day out of @Reagan_Airport, @BWI_Airport @Dulles_Airport COMBINED

Terence Tao proposes what he calls a "Copernican view of intelligence". Instead of buying into the common, one-dimensional narrative that artificial intelligence will simply evolve from "subhuman" to "superhuman" and ultimately make humanity entirely redundant, Tao urges us to look at the bigger picture. Much like the Copernican revolution proved the Earth is not the center of the universe, Tao suggests we need to realize that human intelligence isn't the only, or necessarily the highest, form of intellect. Historically, we have treated other forms of storing or creating knowledge—like animals, books, and computers—as secondary. However, we actually exist within a much richer universe of intelligence. Both human intelligence and computer intelligence possess their own distinct strengths and weaknesses. The true potential lies not in viewing them as direct competitors, but rather in focusing on collaboration. By working together, humans and computers can achieve additional things that neither could accomplish on their own, requiring us to think in much wider terms than just what humans or computers can do alone.

📊 U-M is presenting 62 papers at CHI 2026, including 19 from CSE! Huge showcase of human-centered AI, accessibility, responsible tech & more. 🔗 cse.engin.umich.edu/stories/u-m-pr… #CHI2026 #UMichCSE #HCI #MichiganEngineering

Beautiful sunrise over Rock Creek Park in DC today 🌅

RT @shomaristone: JUST IN. Michigan defeats UConn 69-63. The Wolverines are national champions! 🏆💙💛 The last time Michigan men’s basketball…

this is insane a high school student built a beautiful 3D interactive chemistry app