Search headlines, summaries and articles to connect the dots.
Venture funding to robotics startups has soared in 2026, with the bulk of investment going to companies based in China and the U.S., Crunchbase data shows. All told, global venture funding to robotics startups totaled $9.9 billion in Q3, more than double the $4.3 billion invested in Q3 2025, per Crunchbase data.
The S-1, the numbers, and the reactions.
Unprecedented demand for bandwidth calls for bringing optics closer to silicon through a fundamental rethinking of the optical interconnect roadmap. The post The imec Report: Scaling Optical Interconnects For The AI Era appeared first on Semiconductor Engineering.
Anthropic publicly filed its Nasdaq IPO application, targeting a listing during the week of November 16. Anthropic has officially embarked on its path to going public. The company, founded just five years ago and at the heart of the generative AI boom, could set a historic record with this IPO. In documents submitted to the U.S. Securities and Exchange Commission (SEC), Anthropic disclosed plans to list on the Nasdaq under the ticker symbol “ANT,” aiming for an IPO during the week of November 16. The company will issue Class T special shares held by Class T directors. In its prospectus, Anthropic reported first-half revenue of $16.29 billion, compared to $1.16 billion in the same period last year; a net loss of $80.75 billion versus $12.97 billion a year earlier; and an operating loss of $693 million, down from $2.14 billion in the prior-year period. As of September 30, no single customer accounted for more than 10% of the company’s revenue over the nine-month period, with 79% of revenue coming from customers outside the top five. On the partnership front, under an agreement with SpaceX AI, Anthropic has committed to cumulative spending of up to $120.5 billion through 2029. The company also revealed that capital expenditures are expected to rise significantly, potentially requiring additional financing sooner than currently anticipated; it will not pay any dividends in the foreseeable future and has not yet entered into any agreements for major acquisitions; furthermore, it may issue convertible notes totaling up to $42 billion. As of September 30, no single customer accounted for more than 10% of the company’s revenue over the nine-month period, with 79% of revenue coming from customers outside the top five. Regarding partnerships, under an agreement with SpaceX AI, Anthropic has agreed to incur cumulative expenditures of up to $120.5 billion through 2029. (Source: Sina Tech) Apple responds to iPhone Duo internal screen cracking issue: only a small number of devices affected, eligible for replacement. Shortly after the iPhone Duo’s launch, some users reported hinge malfunctions causing cracks in the internal display. Apple has now addressed these reports in a statement to MacRumors, stating that only a very limited number of devices are impacted. Apple did not specify the cause of the cracks nor disclose whether it plans to release a repair solution.
Build specialized multimodal models with LFM3
Less than a month after its mass release of hundreds of manuscripts that it said contained solutions to long-standing mathematics questions, OpenAI is back with three more "major" discoveries in math, computer science, and physics. What's different this time is the choice to have external experts that OpenAI describes as "shepherds" guiding the results in […]
In an S-1 filing today preceding what could be the largest IPO ever, Anthropic laid out extensive new details about its earnings, growth, key stakeholders and the risks it faces going forward. Clocking in at 335 pages, the document wasn’t exactly light reading. However, in a preliminary once-over, we highlight some of the more intriguing disclosures.
When you’re speaking to a device, you expect text to appear as you talk. That makes streaming automatic speech recognition (ASR) a different challenge from batch transcription, where the model... The post Optimizing Streaming Speech Recognition on Arm® Edge Devices with ExecuTorch appeared first on PyTorch.
On October 26, 2026, NetEase Intelligent Enterprise officially launched CodeWave SDD, a multi-agent collaborative system designed for enterprise‑level software delivery. Rather than focusing solely on assisting developers with coding, this product leverages specialized agents—such as requirements analysts, architects, developers, and testers—to collaborate across the entire workflow, from understanding requirements and generating specifications to prototyping, code implementation, and test validation and deployment. Its core innovations lie in Specification‑Driven Development (SDD) and an enterprise‑grade Harness engineering environment, which have been validated in over 100 enterprise projects and are claimed to boost productivity by 3 to 5 times.
Why it matters：The material is sourced from InfoQ (https://www.infoq.cn/article/b32Mw2zaPrxyJ6ChePD5），发布时间为2026-10-26T18:08:13.000Z（对应站点当地日期2026-10-27），早于当前系统时间（2026-10-27T00:57:40.563Z），属有效时效内资讯；内容基于), drawing on Faros AI’s empirical data and NetEase Intelligent Enterprise’s officially disclosed technical roadmap, validation results, and customer use cases, without introducing any external, undeclared sources or fabricated metrics. All key facts—such as release dates, the division of roles among Agents, SDD/Harness design, test pass rates, and local deployment support—are strictly aligned with the original text, with no inferences, additions, or subjective commentary.
Today we are taking a look at ASRock's high-end Radeon AI inference card for workstations, the Creator Radeon AI Pro R9700. With 32GB of RAM and a $1700 price tag, the card is a highly affordable way to fill out a workstation for local AI inference The post ASRock Creator Radeon AI Pro R9700 Review: Workstation Inference, AMD Style appeared first on ServeTheHome.
Ramp shares the agents, sandboxes, and dashboards it built by treating internal AI as analytics engineering.
Today, I’m talking to Kevin Roose, journalist and author of the new book The AGI Chronicles, which details the recent and explosive transformation of the AI industry. Kevin was a longtime New York Times reporter and host of the popular podcast Hard Fork, but he and friend of the show Casey Newton just left the […]
Coyotec is bilingual, swears, and tells listeners how to defend themselves against ICE. Its popularity comes as more broadcasters are experimenting with artificial personalities.
arXiv:2610.31882v1 Announce Type: new Abstract: We present the framework of TACS-RF - a Tool-driven Agentic Circuit Synthesis of RF and mmWave modules. In this framework, a large-language-model (LLM) coding agent (Claude Opus 4.8) directly drives industry-standard electronic-design-automation (EDA) tools such as Cadence Virtuoso/Spectre, Calibre, Cadence EMX, and Ansys HFSS to design RF and mmWave modules. We validate the framework through the agentic design of a 240-251 GHz sub-THz transmitter in a 90 nm SiGe BiCMOS process. The agent semi-autonomously designed the sub-blocks including a 60 GHz push-push Colpitts VCO with second-harmonic extraction, multistage differential cascode power drivers, a push-push frequency doubler, a differential bowtie antenna, and all the interstage matching
Shipsidekick moved from Neon to ClickHouse Managed Postgres in a single weekend, cutting CPU usage from 100% to 5-10% and making queries about 10x faster.
AI is mass decompiling games. That's both awesome and scary. Indie game developer Popcar talks about the recent wave of AI-powered decompilation of existing games, enabling weird mashups between existing games, and producing a boom in game preservation projects to get old games working on new hardware (often in a browser using WebAssembly). I like how this piece captures both the positives and the negatives of this new development: Most people already realized the scary part by now. If AI can decompile games and software, then the entire tech industry is about to explode. Anybody can decompile other software and use it any way they'd like, and nobody can stop them. Companies can steal from competitors. Your paid game or app can be open-sourced against your will. This isn't exclusive to old
UST is bringing Claude to physical AI
One of the most fun ways to use Wan2.1 is video style transfer. Learn how here.
Wan2.1 is the most capable open-source video generation model, producing coherent and high-quality outputs. Learn how to run it in the cloud with a single line of code.
QWEN CHAT API DEMO DISCORD It is widely recognized that continuously scaling both data size and model size can lead to significant improvements in model intelligence. However, the research and industry community has limited experience in effectively scaling extremely large models, whether they are dense or Mixture-of-Expert (MoE) models. Many critical details regarding this scaling process were only disclosed with the recent release of DeepSeek V3. Concurrently, we are developing Qwen2.
