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Pulse · msn.com

msn.com · Nov 12

Explainer - Tougher curbs on AI chip sales to China likely after Nvidia CEO resigns

By Courtney Rozen WASHINGTON, Nov 12 (Reuters) - US lawmakers from both parties are pushing for tougher restrictions on China's access to advanced artificial intelligence chips following media reports about former Nvidia CEO Jensen Huang's affair with a suspected Chinese spy,

Pulse · 247wallst.com

247wallst.com · Nov 12

Alphabet Climbs 3% as NVIDIA's Leadership Shake-Up Puts Google's AI Chips in the Spotlight; Microsoft Gains 2%, Amazon Ticks Up

A sudden leadership change at NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) has investors considering whether rival AI chips could win more attention from the biggest cloud buyers. Alphabet (NASDAQ:GOOGL) stock is at $301.

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Top picks this weekarXiv

arXiv

Nov 10

Medical Image Segmentation: Foundation Model Adaptation versus Task-Specific Training

Foundation models pretrained on large natural-image collections are increasingly adapted for medical image segmentation, in the expectation that they will replace models trained for each task. Most comparisons, however, use data from the training distribution and a single task-specific baseline whose configuration is rarely justified, and therefore provide limited evidence of performance at new clinical sites. It also remains unclear how much of a foundation model must be adapted, and what determines this. We adapted a foundation model, DINOv2, with strategies ranging from tuning only its bias terms to full fine-tuning, and compared it with U-Nets and ResU-Nets trained from scratch. Experiments covered colonoscopy, breast ultrasound and dermoscopy, with testing on held-out data from the training source and on independent datasets from other institutions. The adapted foundation model generalised better on every external dataset. Within the training distribution, the task-specific models remained competitive when training data were abundant, and delineated boundaries more precisely, while the foundation model more often missed small lesions. Only a small fraction of the foundation…

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arXiv

Sep 18

Do Personality-Tuned LLMs Make Better Social Agents?

LLMs are increasingly used in social simulations for socially interactive agents and robots, offering more flexibility than rule-based systems. However, even though they mimic human behaviour very well, there is a persistent alienness to them. This work investigates whether…

arXiv

Sep 18

The Weight Is Over - Interactive Diffusion on Consumer GPUs

On-device inference is booming, but the momentum is almost all in language models. Diffusion pipelines are memory hungry, latency-sensitive, and require orchestrating an embedder, a transformer, a decoder, and often further postprocessing that is not as standardized as LLM…

arXiv

Sep 18

Reusing Latent Speech Representations for Query-Conditioned Topic Localization in Transcripts

Long transcripts are costly inputs for downstream NLP systems and often contain irrelevant context. We study query-conditioned topic localization: predicting the sentence span in a transcript that best addresses a topic-title query. To improve span localization, we reuse ASR…

arXiv

Sep 18

EnterpriseVal: Quantifying the Efficacy, Reliability and Value of Generative AI in the Enterprise

Frontier language models now produce professional deliverables that expert graders judge to match human work on a substantial share of economically valuable tasks, yet most enterprise GenAI initiatives fail to show a measurable business effect and a large fraction of agentic…

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