“Near the lasing threshold, we achieve a 475-fold enhancement in optical contrast and a 180-fold improvement in magnetic sensitivity compared with a conventional single-pass geometry.”

“The system achieved a background rate of 0.49 $\rm cpm/cm^2$ while retaining more than 55% of $^{90}$Sr beta signals within a 7 cm diameter detection region.”

“The paper proves that for certain values of the circle diameter, the number of touching pairs is less than that from a specific spiral construction, which is conjectured to be extremal.”

“STAMP pretrained ViT models outperformed both existing temporal MAE methods and foundation models on different late stage Age-Related Macular Degeneration and Alzheimer's Disease progression prediction.”

“The algorithm solves weighted MaxCut instances with up to 1000 vertices using only 10 qubits, and numerical results indicate that it consistently outperforms the Goemans-Williamson algorithm.”

“The diameter of the resulting tree is typically of order $n^{1/3} \log n$, up to a $\log \log n$ correction.”

“The research focuses on catalytic generation and quantum sensing of active radicals.”

“The research aims to improve quality-first fine-tuning for stable Thai text generation.”

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“GPT-5.2 achieves the top reported score for industry benchmarks like GPQA-Diamond, AIME 2025 and Tau2 Telecom.”

“GPT-5.2 is OpenAI’s strongest model yet for math and science, setting new state-of-the-art results on benchmarks like GPQA Diamond and FrontierMath. This post shows how those gains translate into real research progress, including solving an open theoretical problem and generating reliable mathematical proofs.”

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“The study focuses on improving latent embeddings for low-resolution images in the context of image captioning.”

“The study analyzes affective polarization trends in parliamentary proceedings.”

“The research focuses on poly- and single-crystalline diamond.”

“The Diplomat interviews William C. Hannas and Huey-Meei Chang on myths and misinformation.”

“We talk with Seth about America’s forever-war machine and the global drug empire it empowers...”

“The technique makes local LLMs reason more efficiently by adaptively allocating computational resources based on query complexity.”

“Mahesh highlights the crucial role of data curation, evaluation, and error analysis in model performance, and explains why RL offers a more robust alternative to prompting, and how it can improve multi-step tool use capabilities.”

“The article doesn't contain a specific quote, but it focuses on the discussion with Ron Diamant about the Trainium2 chip.”

“Williams explains why this is more efficient and generalizable than end-to-end models like Whisper.”

“Both films feature visions of Hell’s intrusion onto earth; two competing and complementary visions of evil, one from a gay British man and the second from a devout American Catholic.”

“William Beauchamp is the founder of two $100M+ companies - Chai Research, an AI startup, and Seamless Capital, a hedge fund based in Cambridge, UK.”

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“Miriam shares examples of these ideas at work in some of the tools their team has built, such as Rubicon, an open source experiment management tool, and Kubeflow pipeline components that enable Capital One data scientists to efficiently leverage and scale models.”

“The episode discusses builds using items from King Charles’ upcoming coronation and compares visions of masculinity within the Republican party.”

“We get a taste of the old Trump magic through his beautiful eulogy for one of his most loyal supporters, the wonderful Diamond.”

“The episode discusses the tragic Miami condo collapse and the narrowing aperture of improvement in American life.”

“The article references Eric Craeymeersch's Medium articles and the FaceNet paper, providing context for the discussion on quadruplet loss and its application in one-shot learning.”

“In our conversation, we discuss the origins of the project, the three AI concepts that are taught in the program, and the goals that Randi hopes to accomplish with her work.”

“Greg’s talk focused on some work his team was involved in that accelerates deep learning training by using mixed 16-bit and 32-bit floating point arithmetic.”