Southeast Asia risks facing tighter US regulations on the export and use of high-powered chips, threatening to stall the region's AI-fueled economic boom.
TI CCStudio Agentic AI automates embedded software development, code migration, debugging and device configuration for MCUs, wireless and radar applications.
Hello, this is Yui / Yuichi.Looking at today's news, the focus is less on the performance race of large models and more on how to choose light, fast models, and under what conditions to run AI agents.
Microsoft (NasdaqGS:MSFT) and IBM launched the Imagine Enterprise AI agent platform for sector specific deployments in regulated industries. The Imagine Enterprise platform is designed to embed governance, security and compliance controls directly into enterprise AI agent workflows. A recent global Microsoft outage disrupted Outlook, Teams, Microsoft 365, Copilot and the Microsoft Store for more than 130,000 users. The Imagine Enterprise launch and the large scale outage highlight how...
Fallout from the Nvidia scandal may dampen the exuberance around the AI boom - Nvidia CEO Jensen Huang's stunning resignation has sent ripples throughout the global technology industry, with competito
Nvidia CEO Jensen Huang's stunning resignation has sent ripples throughout the global technology industry, with competitors itching to take advantage of the uncertainty surrounding the chip giant.
Jensen Huang's exit as Nvidia's chief executive, a week before Anthropic is due to begin trading in what could be the biggest stock market listing on record, has put a spotlight on the chipmaker's $10 billion pledge to the artificial intelligence (AI ...
Frontier video generation models work in a VAE latent space that compresses video in both space and time. This compression made training tractable, but now limits high-resolution, controllable, and interactive generation -- doubling resolution quadruples token count, conditions apply to groups of frames rather than individual ones, and each response must wait for the rest of its multi-frame block. We present PixVid, a simple yet effective method that lifts a pretrained latent video model to directly generate every frame in pixel space. PixVid keeps the diffusion transformer and replaces the VAE decoder with a convolutional head that renders its outputs into pixels. We find that predicting clean video rather than velocity, together with a larger noise shift, is key to quality. Finetuned from Wan2.1-14B, PixVid is competitive with the latent baseline within $\sim 1.3$M training clips. Working framewise in pixels, it generates at $2\times$ higher resolution with the same per-frame token count, keeps depth-conditioned video editing aligned under fast motion, and responds to each action at the next frame. Project page: https://chenshuo20.github.io/PixVid/
Open-source, self-hosted Slack alternative where your team and AI agents work together in channels and DMs. Agents run on Claude, ChatGPT/Codex, Gemini or Grok, with MCP tools, their own computer and browser, routines, memory and approvals. Web, desktop and phone apps. Docker…
Ryan sits down with Jeff Wang, co-founder at EXA, to talk about the huge scale required to support trillions of agentic searches, the technical complexities of building custom embeddings and performant vector databases from scratch, and the need to dedupe the massive amounts of…
