Hardware

Researchers from MIT and elsewhere have designed a novel transmitter chip that significantly improves the energy efficiency of wireless communications, which could boost the range and battery life of a connected device.... Read more

The startup behind Chicago's more than $1 billion quantum computing deal said operations are expected to start in three years, a win for Illinois Governor JB Pritzker, who backed the investment and is widely seen as a potential presidential candidate.... Read more

Large language models (LLMs) like BERT and GPT are driving major advances in artificial intelligence, but their size and complexity typically require powerful servers and cloud infrastructure. Running these models directly on devices—without relying on external computation—has remained a difficult technical challenge.... Read more

JUPITER became the world's fourth fastest supercomputer when it debuted last month. Though housed in Germany at the Jülich Supercomputing Center (JSC), Georgia Tech played a supporting role in helping the system land on the latest TOP500 list.... Read more

The latest generative AI models such as OpenAI's ChatGPT-4 and Google's Gemini 2.5 require not only high memory bandwidth but also large memory capacity. This is why generative AI cloud operating companies like Microsoft and Google purchase hundreds of thousands of NVIDIA GPUs.... Read more

Seoul National University College of Engineering announced that a research team has developed a new hardware security technology based on commercially available 3D NAND flash memory (V-NAND flash memory).... Read more

Researchers at NYU Tandon School of Engineering have created VeriGen, the first specialized artificial intelligence model successfully trained to generate Verilog code, the programming language that describes how a chip's circuitry functions.... Read more

Artificial intelligence is considered to be computationally and energy-intensive—a challenge for the Internet of Things (IoT), where small, embedded sensors have to make do with limited computing power, little memory and small batteries.... Read more

When it comes to storing images, DNA strands could be a sustainable, stable alternative to hard drives. Researchers at EPFL are developing a new image compression standard designed specifically for this emerging technology.... Read more

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the Institute of Science Tokyo, Japan. This breakthrough framework utilizes an innovative cross-partition message quantization technique and a novel training algorithm to significantly reduce memory... Read more

A novel power supply technology for 3D-integrated chips has been developed by employing a three-dimensionally stacked computing architecture consisting of processing units placed directly above stacks of dynamic random access memory.... Read more

Researchers at the University of Massachusetts Amherst have pushed forward the development of computer vision with new, silicon-based hardware that can both capture and process visual data in the analog domain. Their work, described in the journal Nature Communications, could ultimately add to large-scale, data-intensive and latency-sensitive computer vision tasks.... Read more

The promise of a new type of computer chip that could reshape the future of artificial intelligence and be more environmentally friendly is explored in a technology review paper published by UC Riverside engineers in the journal Device.... Read more

MIT researchers have designed a compact, low-power receiver for 5G-compatible smart devices that is about 30 times more resilient to a certain type of interference than some traditional wireless receivers.... Read more

Technologies enabling safe visual recognition in low-visibility environments are gaining increasing attention across sectors such as autonomous driving, aviation, and smart transportation. Thick fog remains a major challenge on highways, mountainous roads, and airport runways, where vision-based recognition systems frequently fail.... Read more

The human brain is more powerful and energy-efficient than any computer. Scientists are imitating the way it works to produce better computer chips and help deal with the growing amounts of data generated every day.... Read more

As more connected devices demand an increasing amount of bandwidth for tasks like teleworking and cloud computing, it will become extremely challenging to manage the finite amount of wireless spectrum available for all users to share.... Read more

A team of engineers, AI specialists and chip design researchers at the Chinese Academy of Sciences has designed, built and tested what they are describing as the first AI-based chip design system. The group has published a paper describing their system, called QiMeng, on the arXiv preprint server.... Read more

The ghostly woman's voice pipes through the speakers, covered in radio static but her message intact from beyond—"The birch canoe slid on the smooth planks."... Read more

At the 2025 Symposium on VLSI Technology and Circuits, imec, a research and innovation hub in nanoelectronics and digital technologies, and IDLab, an imec research group at Ghent University and the University of Antwerp, Belgium, announced a significant breakthrough in high-speed digital-to-analog conversion.... Read more

Partial differential equations (PDEs) are a class of mathematical problems that represent the interplay of multiple variables, and therefore have predictive power when it comes to complex physical systems. Solving these equations is a perpetual challenge, however, and current computational techniques for doing so are time-consuming and expensive.... Read more

Researchers at the University of Tartu Institute of Computer Science introduce a novel approach to reducing electronic waste and advancing sustainable data processing: turning old smartphones into tiny data centers.... Read more

A new supercomputer named after a winner of the Nobel Prize in chemistry will help power artificial intelligence technology and scientific discoveries from a perch in the hills above the University of California, Berkeley, federal officials said Thursday.... Read more

Researchers at the Center for Innovative Integrated Electronic Systems (CIES), Tohoku University, have achieved the world's lowest write power for a specific type of memory storage device. Not only does this device boast record-breaking energy-efficiency, but it is also incredibly fast. This finding may lead to revolutionary advancements in memory... Read more

A new AI chip developed at the Technical University of Munich (TUM) works without the cloud server or internet connections needed by existing chips. The AI Pro, designed by Prof Hussam Amrouch, is modeled on the human brain. Its innovative neuromorphic architecture enables it to perform calculations on the spot,... Read more

Anyone who speculates on likely events ahead of time and prepares accordingly can react quicker to new developments. What practically every person does every day, consciously or unconsciously, is also used by modern computer processors to speed up the execution of programs. They have so-called speculative technologies which allow them... Read more

The world is steadily moving toward seamless, global connectivity through satellite constellations. Small satellites—weighing up to 10 to 100 kgs—are further enhancing the connectivity with their flexibility and scalability. But the application of small satellites often faces a significant challenge in their ability to accept communication beams.... Read more

Fifty-two people have died on Catalan roads so far this year, according to data from the Catalan Traffic Service. Although there have been fewer accidents in the first four months of the year than in the same period last year, accidents continue to have a terrible impact: more than 3,500... Read more

Oregon State University College of Engineering researchers have developed a more efficient chip as an antidote to the vast amounts of electricity consumed by large-language-model artificial intelligence applications like Gemini and GPT-4.... Read more

As demand grows for more powerful and efficient microelectronics systems, industry is turning to 3D integration—stacking chips on top of each other. This vertically layered architecture could allow high-performance processors, like those used for artificial intelligence, to be packaged closely with other highly specialized chips for communication or imaging. But... Read more

Combinatorial optimization problems (COPs) arise in various fields such as shift scheduling, traffic routing, and drug development. However, they are challenging to solve using traditional computers in a practical timeframe.... Read more

What happens when trailblazing engineers and industry professionals team up? The answer may transform the future of computing efficiency for modern data centers.... Read more

As artificial intelligence (AI) continues to advance, researchers at POSTECH (Pohang University of Science and Technology) have identified a breakthrough that could make AI technologies faster and more efficient.... Read more

In a new Nature Communications study, researchers have developed an in-memory ferroelectric differentiator capable of performing calculations directly in the memory without requiring a separate processor.... Read more

A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a 12.02× improvement in runtime efficiency, while using only 22.24% of the main memory, compared to SOTA out-of-core GNN systems. This work was published in the Proceedings of the ACM on... Read more

Space is a highly volatile environment. Factors like radiation, extreme temperatures, and debris make outer space a challenging environment for operating technology. In particular, radiation can have devastating effects on computer chips.... Read more

Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light—a breakthrough that could dramatically speed up AI training, reduce energy use and even pave the way for fully light-powered computers.... Read more

The emergence of AI has profoundly transformed numerous industries. Driven by deep learning technology and Big Data, AI requires significant processing power for training its models. While the existing AI infrastructure relies on graphical processing units (GPUs), the substantial processing demands and energy expenses associated with its operation remain key... Read more

Computer chips that combine the use of light and electricity are shown to increase computational performance, while reducing energy consumption, compared with conventional electronic chips. The photonic computing chips, described in two papers in Nature this week, might address the growing computing demands driven by advancing artificial intelligence technology.... Read more

A new way to temporarily store memory, Gigaflow, helps direct heavy traffic in cloud data centers caused by AI and machine learning workloads, according to a study led by University of Michigan researchers.... Read more

A smaller, lighter and more energy-efficient computer, demonstrated at the University of Michigan, could help save weight and power for autonomous drones and rovers, with implications for autonomous vehicles more broadly.... Read more

More than seven years ago, cybersecurity researchers were thoroughly rattled by the discovery of Meltdown and Spectre, two major security vulnerabilities uncovered in the microprocessors found in virtually every computer on the planet.... Read more

Korean researchers have developed a digital holography processor that converts two-dimensional (2D) videos into real-time three-dimensional (3D) holograms. This technology is expected to play a key role in the future of holography, as it enables the instantaneous transformation of ordinary 2D videos into 3D holograms.... Read more

A team of researchers from Cornell Tech has developed a new tool designed to revolutionize hardware troubleshooting, with the help of 3D phone scans.... Read more

Nvidia founder Jensen Huang kicked off the company's artificial intelligence developer conference on Tuesday by telling a crowd of thousands that AI is going through "an inflection point."... Read more

Nvidia chief Jensen Huang on Tuesday showcased cutting-edge chips for artificial intelligence and new applications for the technology, shrugging off talk of China's DeepSeek disrupting the market and dangers from U.S. President Donald Trump's trade wars.... Read more

Servers that may contain AI-powering Nvidia chips shipped from the United States to Singapore ended up in Malaysia, but their actual final destination remains a mystery, the city-state's interior minister said Monday.... Read more

For decades, researchers have been exploring how to store data in glass because of its potential to hold information for a long time—eons—without applying power. A special type of glass that changes color in different wavelengths of light, called photochromic glass, holds promise for stable, reusable data storage.... Read more

The current microelectronics manufacturing method is expensive, slow and energy and resource intensive.... Read more

Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design alternative architectures that could be better suited for running these models.... Read more