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42AI comes out of stealth with $62.5M and a world model that can ‘predict human behavior’
TechCrunch · AI
Elon Musk throttles Grok Bot limits due to ‘unsustainably high’ costs
TechCrunch · AI
Ant A-Fu Wins the Leading Technology Award at the World Internet Conference, Becoming the First Health AI Application to Receive This Honor
AIBase AI News
Putting AI To The Test
SemiEngineering
NVIDIA Releases Auto Ontology: An Open Semantic Layer That Grounds AI Agent SQL
MarkTechPost
Meet qwenGPU: Qwen3.5-2B With 45 Compiled GPU Layers That Run CUDA
MarkTechPost
Liquid-Cooled NVIDIA Servers at the ASRock Rack OCP 2026 Booth
ServeTheHomeBreaking the bottleneck of AI’s long-term memory, Alibaba Cloud empowers Personal Agents to achieve deep personalization
AIBase AI NewsFrom the latest news to tools that work for you.
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Swipe to explore →EvoMap is an infrastructure designed for the reuse of AI agent experiences. It organizes reusable strategies and repair assets with validation records via the GEP protocol, offering market- and quality-based ranking to help different agents discover, evaluate, and inherit existing capabilities.
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Translation queued · Original text · zh分类推荐榜首JJAX is a Python numerical computing library designed for accelerators, specifically tailored for high-performance array computations and large-scale machine learning. It efficiently executes the same code across multiple hardware backends, including CPUs, GPUs, and TPUs.
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ElicitKnowledge & ResearchElicit provides semantic search, research report generation, literature screening, and data extraction for scientific research. It enables traceable answers within source materials and organizes evidence through a literature library, research agents, and ongoing tracking workflows, making it ideal for advancing from initial problem exploration to systematic reviews.
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1895 published storiesMaking Kubernetes AI-Ready for NVIDIA Vera Rubin on Day One
Configuring and optimizing Kubernetes for new GPU hardware such as NVIDIA Vera Rubin is complex and error-prone. Drivers, kernels, runtimes, networking,...
The latest AI news we announced in October 2026
Here are Google’s latest AI updates from October 2026
New context engineering challenges in late 2026
LangChain CEO Harrison Chase shares insights into the biggest harness engineering challenges with the emergence of proactive agents.
Prepare web content for Amazon Bedrock Knowledge Bases with Crawl4AI
This post shows how to use Crawl4AI, an open source web crawler, as a content preparation layer for Amazon Bedrock Knowledge Bases, handling JavaScript rendering, selective extraction, and custom metadata enrichment before web content reaches an Amazon S3 data source.
Build efficient agents with knowledge distillation on Amazon SageMaker AI
Agentic assistants built on frontier models run a multi-step tool loop, and paying frontier prices on every step is hard to sustain at production scale. This post shows how to use sequence-level knowledge distillation (SeqKD) to transfer a frontier teacher's agentic behavior into a small, lower-cost student on Amazon SageMaker AI.
How Circle K accelerated DevOps incident triage to under 15 minutes with Amazon Bedrock
Circle K's DevOps team cut incident triage from 45-60 minutes to under 15 by building an agentic triage system on Amazon Bedrock. This post walks through the architecture, the initial Amazon Bedrock Flows implementation, the migration to Amazon Bedrock AgentCore, and the lessons learned from scaling it.
Raising the quality of insights in agentic analytics
In just a few years, generative AI has changed the face of enterprise analytics, notably by making analytics accessible to users across the organization. Agentic AI promises to do even more, by automating entire workflows and taking actions based on agent insights. But there is a problem: The quality of insights that agents currently generate…
llama.cpp · b12050
vulkan: improve small-n split-K selection on RDNA3 and RDNA4 (#30146) * vulkan: improve small-n split-K selection on RDNA3 and RDNA4 * Clean up test cases by removing commented code Removed tests as requested **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12050/llama-b12050-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12050/llama-b12050-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12050/llama-b12050-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.c
Stop believing in the autonomy of Agents
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On theCUBE Pod: Stock market gets the jitters and Anthropic files IPO
The hubbub at the New York Stock Exchange was audible on theCUBE Pod last Friday, with concerns rising over the artificial intelligence bubble. Several tech companies, including Intel Corp., Alphabet Inc., Amazon.com Inc., CoreWeave Inc. and Fortinet Inc., saw their stock fall, suggesting that investors may have doubts about all that AI infrastructure spending. At […] The post On theCUBE Pod: Stock market gets the jitters and Anthropic files IPO appeared first on SiliconANGLE.
42AI comes out of stealth with $62.5M and a world model that can ‘predict human behavior’
Here's a question straight out of sci-fi: What if AI could predict what you were going to do before you decided to, even in a completely new situation?
Elon Musk throttles Grok Bot limits due to ‘unsustainably high’ costs
Musk recently referred to Grok Bot as having "the fastest growth of a product that I've ever seen in my life."
llama.cpp · b12048
sycl : fast ggml_sycl_comm_exchange() on Intel Arc Pro B70s (#30956) * Update ggml-sycl.cpp Increases -sm tensor prompt eval t/s by +19% with zero PPL change. * Update ggml-sycl.cpp Replace first pair of wait() calls with ext_oneapi_submit_barrier(). The wait() calls was discovered to cause MTP degradation. * Update ggml-sycl.cpp Adding comm_exchange function pointer to switch between 2 and 4 buffer ggml_sycl_comm_exchange versions @ initialization time (versus hot path) controlled by SYCL_ENABLE_DEFAULT_CONTEXTS=1 setting. * Update ggml-sycl.cpp adding back 2nd half of 4-buffer free. * Update ggml-sycl.cpp Removing extra whitespace. * Update ggml-sycl.cpp Excluding Windows until it is validated on Windows. **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](h
Support New AI Frameworks Faster Using NVIDIA Workload Map
NVIDIA DSX AI Factory Platform brings together technologies to help the ecosystem design, build, and operate more efficient AI factories, including open source,...
llama.cpp · b12047
sycl: dmmv code cleanup (#31325) * sycl: fold q8_0 reorder dmmv into the generic template * sycl: template the dmmv non-K launchers * sycl: template the dmmv K-quant launchers **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12047/llama-b12047-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12047/llama-b12047-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12047/llama-b12047-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12047/llama
On a 10-day trip to the United States, Muse helped me arrange a meeting with economist Tyler Cowen
Content Author | Xiao Xin Content Editor | Agent Xiao Zhi In early October, I had dinner with economist Tyler Cowen at a Sichuan restaurant in San Francisco. Originally, I wanted to schedule a meeting during my U.S. trip but struggled to find the right way to approach him. Later, my AI assistant Claire suggested that his itinerary would happen to pass through Berkeley, so I could try arranging a meetup in San Francisco. It also helped me select events and plan my schedule, eventually even finding an art exhibition at New York's MoMA...
Omen AI adds liquid know-how in $16 million Aquatic Labs acquisition
Two startups tackling the data center water problem are joining forces in a $16 million deal.
