Simon Kohl: AI Makes Biology Programmable
Latent Labs founder Simon Kohl outlines the shift from structure prediction to generative drug design at CVPR 2026.
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OpenAI Scientist: AI's True Limit Is Unmeasurable
Noam Brown argues traditional benchmarks fail to capture AI reasoning. Performance now depends on compute budgets, not j…
Why Neural Networks Need Non-Linearity
Explore why linear models fail in AI and how activation functions like Softmax enable complex learning.
Monolithic 3D Stacking Breaks Moore's Law Barrier
University of Illinois researchers achieve low-temp monolithic 3D integration, backed by IBM and Intel, reshaping semico…
Harvard Study: AI Agents Outperform Search by 47x
New research reveals autonomous agents complete 26 minutes of work per session, vastly outpacing traditional search tool…
GPU vs CPU: New Time-Lock Algorithm Reveals Massive Compute Gap
New algorithm shows high-end GPUs can decrypt in seconds what takes a single CPU core an entire day, highlighting hardwa…
GPU vs CPU: New Algorithm Creates 1-Day Lock in Seconds
A new time-lock algorithm leverages GPU parallelism to create decryption delays of up to 24 hours using just seconds of …
Li Auto Spends $2B on AI, Publishes 12 CVPR Papers
Li Auto invests heavily in R&D, publishing 12 papers at CVPR 2026 to advance autonomous driving models.
Auditing Bias in Transformer Models
New frameworks for evaluating fairness metrics in pre-trained transformers are critical for ethical AI deployment.
Microsoft Lens: Quality Captions Beat Scale in AI
Microsoft Research's Lens model matches larger rivals using only 3.8B parameters, proving detailed captions outperform r…
Terry Tao Embraces AI for Mathematical Discovery
Fields Medalist Terry Tao advocates for AI tools in math, signaling a major shift in academic research methodologies.
JAX Surges in AI Labs for Speed
Google's JAX library is overtaking PyTorch in research labs due to superior performance and functional programming capab…