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…
Global Fishing Watch on October 21 launched its biggest AI overhaul since 2016: new fishing detection and vessel classification models trained on over 1,000 expert-reviewed examples cut false positives. A 2024 Nature study confirms 75% of industrial fishing vessels remain beyond reach of any
Apple plans to launch an updated version of its Siri AI assistant in Korean through a software update as early as 26 October, adding contextual understanding and personalised responses based on information stored on users' devices, according to Chosun, citing company sources. The Korean release follows the launch of an English beta version in September and will coincide with the expansion of language support to Japanese.
One quote from Elon Musk sent chip stocks surging in premarket trading, but whether that momentum signals a real turning point or just a brief relief rally is what the rest of October will decide.
A series of major cybersecurity incidents, from critical PHP and Node.js vulnerabilities to malware infiltrating LiteLLM, has intensified pressure on security teams worldwide.
Pretrained generative Diffusion Transformers (DiTs) capture rich pixel-level visual and language-conditioned structure through large-scale image and video generation training. A growing line of robot policies builds on this generative prior, but how it should be transferred to…
We analyze a simple stochastic inertial Krasnosel'skii--Mann (iKM) method for finding a fixed point of a nonexpansive operator in a real Hilbert space. Our method is obtained simply by adding two inertial extrapolations to stochastic KM [Bravo and Cominetti, 2024], and it…
Action-chunked visuomotor policies predict overlapping trajectories, so every executed action is covered by several predictions. Temporal ensembling smooths execution by combining these predictions with an exponentially weighted mean. One corrupted prediction can move the…
Capability and efficiency are two key dimensions of reasoning in large language models (LLMs). Capability refers to the ability to solve a given problem correctly, whereas efficiency refers to the ability to do so with limited resources. When LLMs use Chain-of-Thought (CoT)…