๐Congratulations to Prof. Elaheh Ahmadi, recipient of the 2026 Young Investigator MBE Award from the International MBE Advisory Committee!
Her research on novel ultra wide bandgap devices is pushing the boundaries of high power, high frequency, and quantum applications.๐ฌโก
The ocean is inherently chaotic, yet existing data-driven ocean models produce deterministic forecasts. In our new preprint, we introduce Njord, a probabilistic graph neural network for ensemble ocean forecasting.
Link: https://t.co/CMd0JfSd4C
A couple highlights below ๐งต
@UCSB@UCSBengineering ranks #3 academic institution in the world for automation and control by the Shanghai Academic Ranking of World Universities ๐
At the heart of this success is the Center for Control, Dynamical Systems, and Computation!
Discover ๐https://t.co/A3N2IOky3R
"The award reflects the wonderful mentors, colleagues, researchers, and engineers I've worked with throughout my career." โ Dr. Klamkin
Dr. Klamkin will be honored at the CSW Conference on May 25 in Kumamoto, Japan. We're so proud! ๐
#UCSB#ECE#Photonics#Semiconductors#IPRM
๐ Congratulations to ECE Professor and @Aeluma_Inc CEO Dr. Jonathan Klamkin on receiving the prestigious IPRM Award from Compound Semiconductor Week!
@UCSBengineering@ucsantabarbara
Read more here๐
https://t.co/gE0xuF2Bvx
The award recognizes his pioneering contributions to InP and GaAs photonic and electronic materials and their heterogeneous integration on mismatched substrates.๐ฌ
UCSB NLP is now ๐๐๐๐ ๐๐๐ & ๐๐!
As our community grows alongside the broader AI landscape, the new name reflects our expanding focus across NLP, LLMs, agents, multimodal AI, and beyond.
Our new logo combines Storke Tower, mountains, beach, waves, and an AI brain. ๐๐ง
We release 4 cleaned omics datasets on HF across transcriptomics, proteomics,epigenomics, with standardized splits and 80k reference runs. OgBench handles everything from raw data to graph construction to model benchmarking.
โ https://t.co/LKOyoAhfAy
โ https://t.co/rq1qHA7pdc
Standard GNN benchmarks do not reflect the reality of omics data.
#OgBench changes that by tackling the nโชp omics regime: massive graphs of proteins/transcripts/genes, but limited patients.
A much-needed tool for AI in omics!๐งฌ๐@louisacornelis@johmathe@gbg1441@LouisVLang
Thanks @louisacornelis! Hey GFM crowd, OgBench looks like a perfect example for evaluating zero-shot generalization of graph FMs without training on it (as num samples is rather small but statistically meaningful).
Super excited to announce that our paper, โWhen Machine Learning Gets Personalโ, has been accepted to #ICLR2026! ๐ง๐ท
We propose a unified framework to reliably quantify how personalizing a model influences both prediction accuracy and explanation quality.
https://t.co/k5ugfgzYqY
So much gratitude to our partners @berggruenInst@NoemaMag for helping us organize the evening, and @ucsbece@ucsantabarbara for the great work your team is doing at the Geometric Intelligence Lab
Math, machine learning, and the mind๐ก
ECE's Prof. @ninamiolane takes a fascinating geometric approach to understanding how the brain's electronic signals give rise to consciousness.
Don't miss her conversation with @claire_i_webb! ๐๐ง
๐ฅCongratulations to ECE Prof. Ramtin Pedarsani's team on receiving a UC Noyce Initiative award to develop robust vision-language models for clinical applications โ part of a $3.4M UC-wide research push for computational health and cybersecurity.๐ค
๐https://t.co/QKPGcyzZms
This paper was published last week in Optica, and spin-out company Pacific Optica is now bringing this tech to labs worldwide.๐
@UCSBengineering@ucsantabarbara@Labrigger
๐ฌHow do you study thousands of neurons at once? You build better tools.
ECE Prof. Spencer Smith's SLAB Lab designed a scan angle multiplier that achieves the laser scanning trifecta: high speed, high resolution, and a larger area.๐ง โก
๐https://t.co/18BTgoGsuL
"โฆwe want to see hundreds of neurons, thousands of neurons, with the ultimate goal of being able to look at how individual neurons work together across the entire brain." โ Postdoc Che-Hang Yu