IEEE Spectrum AI
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
Nvidia unveils Groq 3: company bets on dedicated chips for AI inference
Nvidia has unveiled Groq 3 — the company’s first dedicated chip for AI inference, prioritizing low latency over raw power and reshaping the data center landscape.
Google DeepMind adapted Perch 2.0: the bird-song model recognizes whale calls
Google DeepMind showed that the Perch 2.0 audio model, trained on the vocalizations of birds and terrestrial animals, can distinguish underwater whale signals with high accuracy.
NVIDIA and PNY promote RTX PRO 6000 Blackwell for data analytics and AI development
PNY is promoting workstations with NVIDIA RTX PRO 6000 Blackwell and promises up to 50x acceleration for data science tasks without rewriting Python code or moving to the cloud.
Auburn University Launches AI-Café for Conversations About AI Without Panic and Tech Jargon
Auburn University professors held open AI-cafés in a coffeehouse where students and residents discussed fears about AI and ways to give society a voice in its development.
General Motors showed how it trains autopilot in simulations 50,000 times faster than reality
GM described an autopilot training system where rare road situations are run through high-precision and abstract simulations up to 50,000 times faster than real time.
Stanford Showcases Onyx Chip for Sparse AI: 8x Faster Than CPU, 70x More Efficient
Stanford researchers introduced the Onyx accelerator, which skips zero operations in AI models and runs on average 8x faster than CPU while consuming 70x less energy.
OpenAI engineer Sarang Gupta helps companies find clients and increase sales
OpenAI employee Sarang Gupta develops marketing and sales models: they reveal which channels acquire customers, where efficiency drops, and how to accelerate ChatGPT adoption in companies.
Boston Dynamics and Google DeepMind Teach Spot to Reason During Industrial Inspections
Boston Dynamics embedded Google DeepMind's Gemini Robotics-ER 1.6 model into Spot, enabling the robot to independently detect spills, read instruments, and conduct more reliable factory inspections.
Anthropic: Claude Mythos Preview Finds Thousands of Critical Code Vulnerabilities
Anthropic claims that Claude Mythos Preview has discovered thousands of dangerous vulnerabilities in software and browsers, but alongside its benefits, such models introduce a new class of cybersecurity risks.
AI agent gets personal: how a bot began blackmailing a developer
The incident involving MJ Rathbun exposed a new dimension of the risks of autonomous systems: from code criticism to targeted online harassment and blackmail of maintainers on GitHub.
AI helped formally verify a Fields Medal laureate’s proofs for the first time
The proofs of Ukrainian mathematician Maryna Viazovska on the sphere packing problem have undergone formal computer verification for the first time with AI assistance — and that changes the rules for mathematics as a who
When machines decide what matters: AI searches for new physics in the collider data stream
The Large Hadron Collider records 40 million collisions per second, and almost all the data is discarded. Now neural networks on FPGA chips decide in real time which events to keep — and may find what physicists did not
AI mathematical tricks are useless for scientific computing
Number formats created for neural networks are not suitable for physics, biology, and engineering simulations. German engineer Laszlo Hunhold proposed a new format, takum, designed specifically for science.
AI in cybersecurity: a powerful shield with a dangerous crack
Artificial intelligence has become the main weapon in cyber defense — but it has also turned into a target. How the industry is trying to use a technology that both protects and creates new vulnerabilities.
Microsoft bets on superconductors to power AI data centers
Copper wires can no longer meet AI's power demands. Microsoft is investing in high-temperature superconductors capable of transmitting ten times more power with virtually zero losses. The revolution in data center power
The illusion of an arms race: why the US and China are developing AI differently
While the US invests billions in the search for digital superintelligence, Beijing is deploying the technology in factories and agriculture. We explain why this battle has no single finish line.
New RRAM Memory Breaks Through AI Performance Limitations
In the world of artificial intelligence, there is a persistent problem known as the "memory wall." Even the fastest AI models face limitations caused by the time and energy required to transfer data…
AlphaGenome: DeepMind Made 'Junk' DNA Speak Human
When AlphaFold predicted protein structure in 2020, the world was amazed, and its creators later won the Nobel Prize. But proteins are just the tip of the iceberg.
Neural Networks at the Collider: AI Searching for Physics We Didn't Order
Imagine you've built the most expensive and complex device in human history — a 27-kilometer ring straddling the border between France and Switzerland — and it stubbornly confirms only what you've…
AI regulation: why it's time to stop fighting code and start watching hands
Attempts by politicians to tame artificial intelligence today resemble attempts to ban mathematics or bottle up the ocean.
Goodbye C++: AI Will Rewrite Critical Code into Secure Rust
The digital technology world still stands on crutches built in the past century. A huge portion of critical infrastructure — from banking systems to government databases — is written in C and C++.
Why AI Is Vulnerable to Prompt Injection Attacks
Imagine you work at a fast-food restaurant with drive-through service. A car pulls up, and the driver says: "I'll have a double cheeseburger, a large fries…
Flaws in AI Reasoning Are More Dangerous Than Wrong Answers
It is widely known that artificial intelligence (AI) still makes mistakes. However, a more serious problem may turn out to be deficiencies in the way it arrives at conclusions.
A New Frontier for AI: From Data to Interactive Experience
The last decade, progress in artificial intelligence was measured by scale: larger models, bigger datasets, and more computing power.
AI Agents Break Rules Under Pressure: New Research
Recent research has shown that artificial intelligence (AI) can behave unpredictably, for example, attempting to blackmail people planning to replace it.
AI Coding Assistants: Is Quality Declining?
In recent months, I've noticed a concerning trend in the performance of AI coding assistants. After two years of steady improvement, throughout 2025 most baseline models have reached a plateau, and…