哈萨克斯坦人工智能与高科技领域的智能门户
该标签下的全部报道、分析与快讯（37）
arXiv:2610.28815v1 Announce Type: new Abstract: Agentic harness evolution optimizes an agent's instructions, tools, and control flow by using its task execution experiences as evolving evidence. While more evolution tasks should intuitively improve performance, our preliminary…
arXiv:2610.29046v1 Announce Type: new Abstract: Large language models (LLMs) have shown considerable promise in synthesizing formal specifications from source code. However, existing approaches primarily focus on functional contracts and loop invariants, while largely neglecting…
所以，谷歌的最新型号 Gemini 4 Argon 相当大。我想看看观察另一款游戏并重新创建它有多好。这就是它给我的一次性输出。我想让它为我做一些产品研究。所以，如果我付费购买 ChatGPT Plus，克劳德……
arXiv:2610.26948v1 公告类型: 新 摘要: 对话推荐系统最近采用视觉-语言模型将用户对话意图与多模态产品信息匹配。然而，将这些方法扩展到许多产品领域面临两难: 部署…
arXiv:2610.27203v1 发布类型: new 摘要: 类增量学习(CIL)使模型能够随时间识别新类别同时保留先验知识,但许多现实问题是组合式的,视觉概念源自基元组合,例如…
arXiv:2610.24177v1 通告类型: 新 摘要: 视频生成模型是具身智能体的新兴工具: 它们可作为可扩展的视觉规划器, 生成视频描绘如何完成先前未见的任务. 然而, 执行这些计划通常需要...
arXiv:2610.24024v1 发布类型: 新 摘要: 罕见病 (RDs) 据估计影响全球 3 亿人, 使患者不得不在临床资源稀缺和医学知识碎片化的限制下经历漫长的诊断历程。人工智能 (AI) 已…
arXiv:2610.24248v1 公告类型：新 摘要：Text-to-SQL系统通常假设自然语言查询与正确SQL翻译之间存在一对一映射。然而在实践中，许多查询本质上具有歧义，允许存在多个有效解释…
arXiv:2610.24051v1 Announce Type: new Abstract: Text-to-Image (T2I) generative models have made significant progress in producing high-fidelity images from natural-language prompts. Alongside this progress, numerous benchmarks have been developed to evaluate capabilities such as…
人工智能代理会系统地跳过自己报告中的错误，即使他们发现了问题。在 Google Research、麻省理工学院和哈佛大学的一项研究中，GPT-5.5 在 200 份论文摘要中遗漏了 198 份负面结果。这篇文章人工智能模型在自己的工作报告中隐藏了错误，但是……
arXiv:2610.20939v1 Announce Type: new Abstract: Online reinforcement learning (RL) with verifiable rewards has driven rapid progress in mathematics, coding, and tool use, but scaling this success to GUI agents remains challenging due to the high cost of interactive environments…
arXiv:2610.20685v1 Announce Type: new Abstract: Symbolic regression searches for an equation that explains observed data. Numerical error is commonly used to guide the search, but it alone can favor an accurate surrogate over a candidate with the right structure. We propose…
arXiv:2610.20960v1 Announce Type: new Abstract: Safety in agentic systems is inherently sequential: whether an action is safe depends on prior actions, tool outputs, information disclosures, and interactions among agents. Recent work has shifted agent safety guardrails from…
Hi everyone. It's Ben Bitesize here from Hugging Face and I'm with Sanyam Bhutani from Reflection. >> It's it's great to be here with you Ben. We worked a lot closely together. I'm really honored to share the stage with you for this announcement. >> Definitely, it's really…
Everyone, today I'm going to be talking about the state-of-the-art of physical intelligence. And in particular, two years ago, I founded a company called physical intelligence. And uh we're really interested in how we can basically uh develop any robot allow any robot to do any…
[Music] hi everyone my name is offen aman i'm a research scientist at google quantum ai today i will be here representing our chip architecture and fabrication team and i will tell you about the work that they've been doing on improving yield and performance of our quantum…
Meta только что выпустила Muse wonder, свою первую по- настоящему передовую ИИ-модель. И на бумаге она идет вровень с Claude Opus 5.5 и GPT-6. Но уже через несколько часов люди начали выкладывать видео, где она строит красные цилиндры вместо лавовых ламп. И теперь все задаются…
It was a wild week in the world of AI and I don't want to waste your time, so let's just get right into it. Starting with the story that pretty much rocked the AI world this week. For the first time ever, the US government forced a publicly released commercial AI model off of…
Hello everyone, I'm Carlos Costa, a distinction engineer here at IBM Research and co-founder of the LMD project. I'll be heading soon to San Jose for PyTorch Conference North America, where I'll have the privilege of sharing some exciting news about LMD. How the project changed…
Muse Spark 的目标是成为一个可以低延迟执行的轻量级模型，而 Wonder 模型更大，据说能力更强，在编码等复杂任务上具有更高的基准分数和更好的结果。
Boston Dynamics said its new hand is still capable of handling over 100 lb. | Source: Boston Dynamics Last week, Boston Dynamics Inc. gave a look at its new humanoid robot hand. The four-fingered hand has 13 degrees of freedom, or DoF, and is directly actuated. The company said…
Long-term Time Series Forecasting (LTSF) tasks, which leverage the current data sequence as input to predict the future sequence, have become increasingly crucial in real-world applications such as weather forecasting and planning of electricity consumption. However,…
Looped LMs are parameter efficient and promise dynamic computation (saving memory and FLOPs on easy tokens). However, state-of-the-art open Looped LMs trained with this dynamic computation capability (Ouro models) do not realize it in practice as each loop iteration (depth)…
A new AI tool can guess what you’re looking at just by analyzing your brain scans—and recreate that image with remarkable precision. It can go the other way too, and predict a person’s brain activity based on what they’re looking at. In the image above, for example, the…
Announcing Gemini 4 Argon, our frontier model for real-world coding, enterprise knowledge work, and cyber defense, rolling out soon.
在本报告中，我们介绍了 \textbf{Ovis-Embedding}，这是一个基于文本、图像、视频和音频的本机集成构建的最先进的全模态嵌入系列。 Ovis-Embedding 没有组装单独的模态塔，而是使用共享的多模态主干来编码不同的……
The Graph Coloring Problem (GCP) is NP-hard and DSATUR stands as one of the fastest heuristics for it despite producing colorings that typically use more colors than state-of-the-art coloring algorithms. We propose SSLD (Semidefinite Spectral Learning with DSATUR), which…
The AI boom is becoming a materials challenge. As AI pushes computing into new territory, the materials behind that infrastructure are becoming just as crucial as the algorithms running on it. Semiconductors and data centers are approaching physical limits around performance,…
Introducing GPT-6 Astra, our most intelligent and aligned model yet, with state-of-the-art capabilities across computer use, coding, cybersecurity, and science.
How Hugging Face Inference Endpoints, Jobs, and Buckets Power Search on Papers with Code.