Hardware

67 Posts

Bar graph depicts rising efficiency in AI models from 2023 to 2025, highlighting energy gains.
Hardware

Can Local AI Stand In for the Cloud?: Stanford and Together.AI researchers chart edge models’ performance in intelligence per watt

Projected demand for output from large language models is spurring a massive buildout of data centers. Researchers asked whether smaller models running on local devices could meaningfully lighten that load.
Two comparison tables show AI model performance across varied benchmarks, highlighting LFM2.5-1.2B.
Hardware

Faster Reasoning at the Edge: Liquid AI’s small reasoning model mixes attention with convolutional layers for efficiency

Reasoning models in the 1 to 2 billion-parameter range typically require more than 1 gigabyte of RAM to run. Liquid AI released one that runs in less than 900 megabytes, and does it with exceptional speed and efficiency.
A SpaceX rocket hovers in Earth’s atmosphere, representing SpaceX and xAI’s strategic shift toward space-based AI projects.
Hardware

xAI Blasts Off: SpaceX acquires xAI, announces plans for data centers In space

Elon Musk’s SpaceX acquired xAI, opening the door to richer financing of the merged entity’s AI research, a tighter focus on space applications of AI, and — if Musk’s dreams are realized — solar-powered data centers in space.
Two snow-covered tree plantations divided by a large wall under a clear blue sky.
Hardware

China’s AI Chip Industry Takes Root: China banned GPUs and TPUs from U.S. manufacturers to promote domestic chips

The United States government’s effort to deprive China of AI computing power backfired as China turned the tables and banned U.S.-designed chips.
Snow-covered wood stacks surround a person with an axe, standing by a small fire in a forest setting.
Hardware

Data-Center Buildout Goes Big: AI’s growth spurred infrastructure investment worldwide

Top AI companies announced plans to build data centers that are projected to burn through trillions of dollars and gigawatts of electricity in the next few years.
In a lab, four robots move a metal frame using graph neural network coordination on a platform.
Hardware

Coordinating Robot Teams: Google DeepMind’s RoboBallet project blends GNNs with RL to drive 8-armed robots

In factories, where teams of robotic arms work in tight spaces, their motions are programmed by hand to keep them from interfering with one another. Researchers automated this programming using graph neural networks trained via reinforcement learning.
Prominent dollar sign amid geometric lines, illustrating OpenAI's shift to for-profit status
Hardware

OpenAI Reorganizes For Profit: ChatGPT’s maker completed restructuring, freeing it to go public, make deals with new partners

OpenAI completed its transition from nonprofit to for-profit in a feat of legal engineering that took an army of lawyers, investment bankers, and two state attorneys general 18 months to negotiate.
Kids in various Halloween costumes walk on a street as numerous witches fly above in an orange sunset sky.
Hardware

Autonomous Systems Wage War: Drones are redefining warfare. What if humans lose control?

Drones are becoming the deadliest weapons in today’s war zones, and they’re not just following orders. Should AI decide who lives or dies?
Image shows MolmoAct system processing "Put the plate in the dishwasher" through spatial reasoning.
Hardware

Better Spatial Perception for Robots: MolmoAct creates spatial maps for robots to plot their actions before executing text directions

Robot control systems that accept only text input struggle to translate words into motions in space. Researchers developed a system that enables robots to plan spatial paths before they execute text instructions.
Stacks of AMD GPUs with OpenAI logo above, illustrating their strategic partnership in processing power.
Hardware

OpenAI Strengthens Ties With AMD: OpenAI’s latest multibillion-dollar chip deal would give it 6 gigawatts of computing power and up to 10 percent of AMD

OpenAI, strapped for processing power to drive a worldwide constellation of planned data centers, turned to Nvidia’s archrival AMD.
Bar chart comparing performance of Qwen3 models against others in diverse tasks, highlighting Qwen3-Max.
Hardware

Qwen3 Goes Big (and Smaller): Alibaba expands Qwen3 family with a 1 trillion-parameter Max model, open-weights Qwen3-VL, and the Qwen3-Omni voice model

Alibaba rounded out the Qwen3 family with its biggest large language model to date as well as smaller models that process text, images, video, and/or audio.
Aerial view of expansive data centers with orange roofs, representing massive AI infrastructure projects.
Hardware

OpenAI On the Road to Trillion-Dollar Spending: OpenAI partners with Oracle, Nvidia, Softbank, and more to build out 20 gigawatts of data center capacity

A flurry of announcements brought into sharper focus OpenAI’s plans to build what may amount to trillions of dollars of global computing capacity.
Swarms of military drones flying in formation over a field, showing autonomous AI-driven coordination in warfare.
Hardware

Drone Swarms Go to War: Ukraine experiments with small groups of low-contact, high-autonomy drones that strike on initiative

Swarms of drones that coordinate with one another autonomously have become a battlefield staple in Ukraine.
Diagram of Qwen3-Next architecture with Mixture of Experts, Gated Attention, and Gated DeltaNet layers.
Hardware

Qwen3-Next Accelerates: Alibaba’s new model uses hybrid attention layers and a sparse MoE architecture for speed and performance

Alibaba updated its popular Qwen3 open-weights models with a number of fresh, speed-boosting tweaks.
Diagram comparing sliding window attention and ATLAS memory, showing wider context tracking in ATLAS.
Hardware

10 Million Tokens of Input Context: ATLAS, a transformer-like architecture, can process a context window as large as ten million tokens

An alternative to attention enables large language models to track relationships among words across extraordinarily wide spans of text.
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