@MrX

Dear members, Affiliation: Endless Access LLC I’d like to submit my candidacy as a director for the 2026 GNOME Foundation board elections. For those who are unfamiliar with me, I’ve been in the Free and Open Source Software community in some way or another for around 25 years, across Debian, freedesktop.org, GStreamer, GNOME. I founded the open-source consultancy Collabora in 2005 and ran it as the CTO and co-founder for 10 years, and joined Endless in 2015, as an engineering VP in our Endles...

AI is helping researchers rethink cancer treatment by focusing on how tumor cells behave, not just their genetic mutations.

Explore bunq’s journey to the U.S. and see what’s next for our users stateside.

The mid-2026 investor’s version of AI psychosis is a despair that nothing is investable, that we should put all our money into Anthropic and Nvidia and go home.

A month after OpenAI CEO Sam Altman said AI won't replace humans, Microsoft AI chief Mustafa Suleyman is walking back his previous claims that AI would replace many white-collar workers.

If you hear someone say ‘agentic search’ they probably mean one of these three very different implementations.

Learn about the AWS App Runner service availability change and how to migrate to Amazon Elastic Container Service Express Mode.

Hey everyone, ​I'm deep into robotics simulation, specifically focusing on Reinforcement Learning (RL) and Deep Learning (DL) workflows. My hardware setup is an M4 MacBook Air (16GB unified memory). ​Initially, I wanted to use NVIDIA Isaac Sim/Isaac Lab because of its photorealistic graphics, advanced sensor simulation, and massive parallelized RL support. However, since Isaac Sim relies heavily on NVIDIA RTX hardware and CUDA, running it locally on Apple Silicon isn't feasible. I really want a local development environment rather than constantly relying on cloud instances. ​I need a simulation software that satisfies these core requirements: ​High-Quality Graphics: Clean rendering, realistic physics-based lighting, and solid sensor noise modeling for computer vision/DL perception models. ​Robust RL/DL Support: Seamless integration with Python ML ecosystems (like PyTorch, Stable-Baselines3, or JAX), OpenAI Gym/Gymnasium wrappers, and fast parallel simulation stepping. ​Apple Silicon friendly: Runs natively or optimized on macOS, making good use of the M4 chip and unified memory architecture without hitting x86_64 or CUDA bottlenecks. ​What are the best alternatives for this exact setup? ​I’ve looked into MuJoCo (especially with its native macOS build and the JAX-based MuJoCo XLA / MJX for acceleration, though I'm curious how well XLA handles Apple Silicon for parallel envs). I've also considered Unity with ML-Agents, which utilizes Apple's Metal API for incredible graphics and handles RL workflows beautifully on Mac. ​Has anyone successfully built a high-graphics RL/DL robotics pipeline on an M4 Mac? Which simulator did you choose, and what did your Python bridge look like? submitted by /u/Risheyyy [link] [Kommentare]

Linux latency on the desktop and in games compared to Windows. Network streaming with Sunshine and Moonlight. Tuning the KWin compositor for lower latencies.

The one where I reject JavaScript UI libraries

SpaceX CEO Elon Musk revealed more technical, but not financial, details about his company’s plans to deploy an orbital data center constellation.

Recently the question If $\frac{d}{dx}$ is an operator, on what does it operate? was asked on mathoverflow. It seems that some users there objected to the question, apparently interpreting it as a…

crates.io serves as a central registry for sharing crates, which are packages or libraries written in Rust that you can use to enhance your projects

A counterintuitive hot-path optimization: Swapping IDIVQ for DIVSD to divide integers faster