1659 articles
Generative AI development is hitting hard limits as models grow 10 times faster than memory can keep up, forcing the industry to rethink how AI systems are built and run.
Companies are pouring billions into AI infrastructure, but productivity gains aren't showing up in the numbers yet. Meanwhile, a decades-long trend continues: corporate profits keep climbing while workers' share of those profits keeps shrinking.
A structured data generation pipeline has been introduced to improve security alignment in code-focused language models. The approach combines real-world vulnerabilities, synthetic data, and preference learning.
A new multi-model architecture outperformed GPT-5 on advanced reasoning tasks while running 2.5x faster and cutting costs by 70%, proving that smart coordination beats raw model size.
Audience data shows a growing share of ChatGPT users also visiting Google's Gemini during 2025. The increase became more pronounced after the Nano Banana release in late August.
UBTECH secured a deal with Airbus to deploy Walker S2 humanoid robots in aircraft production facilities. The robots are already working at Texas Instruments, marking a shift toward real industrial automation.
Tsinghua University now produces more AI and machine learning patents than Harvard, MIT, Stanford, Princeton, UC system, and Caltech combined, with the gap widening since 2009.
Companies developing humanoid robots are shifting toward subscription-based labor models instead of selling physical units. This service approach bundles maintenance, insurance, and upgrades—similar to cloud computing—and could reshape how businesses access automation.
xAI's Grok models just grabbed two top-five spots on the Search Arena leaderboard, showing serious strength in AI search capabilities.
The AI stock rally has now lasted three years, surpassing the average lifespan of ten major historical market bubbles that typically peaked around 2.55 years, though its gains remain below the historical average of 244%.
Memory chip prices are set for a massive surge in 2026, with DRAM costs projected to climb 88% as artificial intelligence systems consume unprecedented amounts of memory and suppliers struggle to keep up with demand.
Industry watchers believe 2026 might mark a turning point when artificial intelligence moves from experimental tools to real-world deployment through autonomous agents and robotics.
A breakthrough geometrically constrained AI agent dramatically improves how AI systems understand spatial relationships, cutting through errors that happen when visual scenes get translated into text.
NVIDIA CEO Jensen Huang explains how rapidly advancing AI computing power is changing how we see and solve complex problems, making once-impossible tasks feel surprisingly manageable.
Software stocks are experiencing a sharp selloff, with major companies trading 26-69% below their recent highs as investors worry about AI's potential to disrupt the industry.
xAI's Colossus II data center hit 1 gigawatt of power in about one year, crushing timelines of comparable AI projects. The achievement shows electricity access is now the biggest hurdle in AI infrastructure growth.
xAI has launched Colossus 2, the world's largest AI training system operating at gigawatt scale. The deployment marks a significant leap in AI infrastructure capabilities.
Espressif rolls out the ESP32-E22, bringing Wi-Fi 6E to its popular microcontroller platform for the first time. The new chip combines tri-band wireless connectivity with dual-core RISC-V processing for edge developers.
A new framework explains artificial intelligence's real-world limitations by shifting focus from raw computational power to context management and entropy reduction in human-machine interactions.
Samsung Electronics is reportedly in advanced discussions to supply an application processor for OpenAI's upcoming hardware device, marking a significant partnership between the AI leader and one of the world's top semiconductor manufacturers.
We use cookies to improve your experience on our site and to show you relevant advertising. To find our more, read our privacy policy and cookie policy
Alex Dudov
Usman Salis
Peter Smith
Saad Ullah
Eseandre Mordi
Sergey Diakov
Artem Voloskovets
Victoria Bazir
