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A team led by James J. Collins at the Wyss Institute used a deep learning pipeline to identify two novel compounds active against Neisseria gonorrhoeae, the bacterium causing gonorrhea. The compounds, discovered by train…
CAPTCHAs have failed for over 20 years as each generation of text distortion and image grids has been defeated by machines. Browserbase is now building agent identity with Verified and Web Bot Auth, arguing that the best…
Early AI, like the 1958 Mark I Perceptron, was a physical analog machine that used motors to adjust resistors rather than digital code. It explains that modern AI logic is not found in readable code but is instead embedd…
Amazon is in talks to sell its Trainium AI chips directly to other companies for use in their data centers, following Google's similar move with its TPUs. CEO Andy Jassy signaled the plan in April, noting the in-house ch…
A developer launched a website for Dev Opportunity Radar, a weekly series sharing opportunities, resources, and communities. The latest edition features OpenAI Build Week, a global online hackathon using GPT-5.6 and Code…
JetBrains Research's Human-AI eXperience (HAX) team conducted expert interviews with 13 senior researchers from institutions including Cambridge, Aarhus, Stuttgart, and Meta, identifying five overarching themes on how AI…
The U.S. Department of Energy named first-phase awards under its Genesis Mission, with Fermi National Accelerator Laboratory leading an AI/ML project on resonance control of superconducting radio-frequency cavities and c…
Inference APIs are increasingly returning provider-bound state that makes AI sessions non-portable, according to a critical analysis by Earendil. Features like encrypted content and server-side storage prevent users from…
Researchers at The SEMQ Group have developed a new method called Symbolic Embedding Multi-Quantization (SEMQ) that reduces the memory and storage footprint of AI models by decoupling semantic meaning from numerical repre…
The shift from deterministic to indeterministic AI systems introduces both powerful capabilities and frustrating limitations, yet public debate remains stuck on surface-level misunderstandings. AI doubters, doomers, and …
Senator Bernie Sanders introduced the American A.I. Sovereign Wealth Fund Act, imposing a 50% stock tax on large AI companies to create a $7 trillion public fund. The fund would distribute annual payments to Americans an…
Slalom Consulting advises federal agencies to reconsider Snowflake as a cloud data platform, citing the Trump administration's cost-cutting priorities and new acquisition rules that favor commercial solutions over govern…
Yousuf Imran, a 41-year-old former Google account executive who earned nearly $1 million last year, left the company to found Mangosteen Studio, an AI product lab building sales tools. He cited fears of layoffs and a des…
A developer explains that Retrieval-Augmented Generation (RAG) fixes AI hallucinations by having the model fetch relevant documents before answering, rather than relying solely on memorized training data. The guide break…
An automotive engineer faces 26-hour design iterations for CFD simulations of a side mirror, motivating a new generation of AI tools like PhysIQ that aim to accelerate physics simulation. This primer explains the basics …
Amazon Web Services announced the general availability of EC2 C9g and C9gd instances powered by Graviton5 processors, offering up to 25% higher performance per vCPU than previous-generation C8g instances. The new instanc…
Meghan O'Gieblyn, a critic for The New York Review of Books, said in an interview published June 25, 2026, that she is most terrified of how AI is changing humanity's relationship to language, writing, and reasoning, arg…
Web performance engineers must attribute Largest Contentful Paint (LCP) per phase—TTFB, resource load delay, load duration, and element render delay—before optimizing, as each phase requires a different fix. Currently, 7…
AI engineers must master five critical Python concepts to build scalable, secure, and robust production systems, including PyTorch's autograd for automatic gradient computation and the `__call__` method for clean model i…
Developers can optimize spaCy's text processing speed by selectively disabling pipeline components like the dependency parser and lemmatizer when only named entity recognition is needed. The technique reduces processing …