DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete…
Chinese AI start-up DeepSeek has announced the open-sourcing of its internal inference framework, DeepInfer, to help software developers and enterprises optimize throughput and latency for large-scale inference, lowering compute costs and energy consumption, the company said in an article released via its WeChat account on Tuesday.
Despite recent volatility in the Kospi, major brokerages remain bullish on Korean chip stocks Samsung and SK hynix, citing an ongoing AI-driven memory boom that is expected to ensure strong demand and pricing power through 2028.
XRlabs has raised $8.4 million in seed funding led by Playground Global to develop and deploy an AI platform that analyzes surgical data in real time while working with equipment already used in operating rooms.
Recent advances in natural language processing have led to molecular Large Language Models (LLMs) with strong performance across diverse chemistry tasks. However, they still struggle to capture fine-grained structure-property relationships, particularly how small, localized…
This thesis proposes a framework for "responsible intelligence" to address AI's critical challenges in safety, ethics, and cultural sensitivity. It advances three core areas: First, it improves domain adaptation in specialized fields using active learning and graph-based…
Referring surgical video instrument segmentation (RSVIS) aims at segmenting the instrument in a surgical video, given a textual description. Despite recent progress, current models are trained and assessed on relatively small-scale benchmarks, hindering the development of more…
Chain-of-thought (CoT) can sound plausible yet be unfaithful to the model's underlying reasoning. Most prior work probes CoT faithfulness through input--output behavior or input attributions, leaving internal computation largely underexplored. We instead cast faithfulness as…