List of AI News about Berkeley
| Time | Details |
|---|---|
|
2026-10-05 17:29 UTC |
Schmidt Sciences names AI2050 Fellows
According to @berkeley_ai, Schmidt Sciences named Irene Chen and six Berkeley EECS alumni as 2026 AI2050 Early Career Fellows. |
|
2026-10-03 09:05 UTC |
AI policy backlash fuels 2026 controversy
According to timnitGebru, a viral post alleges Sanders advisers back Berkeley AI safety groups, intensifying policy scrutiny. |
|
2026-10-02 22:07 UTC |
RoCo Challenge Winners Drive Assembly Breakthrough
According to Berkeley AI Research on X, BAIR HIC won two tracks at IROS2026 RoCo Challenge, showcasing bimanual, tactile-aware assembly advances. |
|
2026-09-29 11:12 UTC |
DexTacWAM Sets 70.6 Benchmark in Tactile Robotics
According to @berkeley_ai, DexTacWAM tops six dexterous tasks with 70.6 average, outperforming 38.0 baseline via visuo tactile world modeling. |
|
2026-06-25 11:29 UTC |
Michael Jordan Highlights Human Connection in AI Era
According to @berkeley_ai, Michael I. Jordan urged prioritizing human connection and societal systems in internet scale AI at Berkeley CDSS commencement. |
|
2026-06-23 12:54 UTC |
Aisle Matches Mythos on CVEs with open models
According to goodfellow_ian, Aisle matched Mythos on public CVE zero-days using open models and ranked top in 3 of 8 categories per a Berkeley study. |
|
2026-04-08 20:26 UTC |
ACM Prize in Computing 2025: Matei Zaharia’s Distributed Systems Breakthroughs Power Large Scale Machine Learning and AI
According to Berkeley AI Research (@berkeley_ai), Matei Zaharia received the 2025 ACM Prize in Computing for visionary work in distributed data systems and computing infrastructure that enable large scale machine learning, analytics, and AI. As reported by ACM, Zaharia’s contributions include Apache Spark and related ecosystem projects that lowered costs and latency for data processing, accelerating model training pipelines and enterprise AI workloads. According to ACM, this foundation has unlocked scalable MLOps, faster feature engineering, and more efficient GPU utilization across cloud platforms, creating business value for companies operationalizing large models and real time analytics. |