Tech & AI

CERN has published the official public reference for Culsma, a programming language designed to standardize syntax and operation contracts across systems. The release provides engineers and developers with comprehensive documentation on execution models and conformance rules, potentially streamlining software development and interoperability in research and industrial applications.EN

Researchers have shown that AI-based time-series forecasting significantly improves predictions of power transformer temperatures compared to standards used since the 1980s. Better temperature forecasting could reduce unexpected transformer failures and extend equipment lifespan—cutting maintenance costs for utilities managing aging electrical grids.EN

Researchers have created a mathematical framework that predicts how people's willingness to get tested and isolate influences infectious disease outcomes. The model reveals critical feedback loops between behavior and disease dynamics that could help policymakers design more effective outbreak response strategies and predict which interventions actually work.EN

Scientists have demonstrated a working microwave photon detector that captures nearly 70% of the faintest quantum signals—a major efficiency gain for quantum computing and communication systems. The breakthrough uses semiconductor quantum dots coupled to superconducting cavities, offering a scalable platform that could accelerate commercial quantum technology development.EN

Scientists have developed a mathematical method to drastically reduce the complexity of large networked systems—from power grids to neural networks—while preserving exact accuracy. The breakthrough could accelerate simulations and analysis of systems too large to model directly, offering immediate value for infrastructure operators and AI developers managing scale.EN

Researchers have developed a method to control how electrical charges move through semiconductor interfaces using mechanical stress, enabling pressure sensors far more sensitive than existing commercial technology. The breakthrough could reshape sensing applications in communications, industrial monitoring, and consumer devices where precision pressure detection drives performance.EN

Researchers have identified two overlooked failure mechanisms in a promising renewable battery design, using real-time electrical monitoring to catch performance killers before they crash system lifespans. The findings could reshape how energy companies predict and extend the reliability of next-generation grid batteries meant to stabilize renewable power.EN

Researchers have created flexible structures that move and adapt on their own without external control, by harnessing an unusual physics phenomenon called exceptional points. The breakthrough could enable more autonomous robots, smart materials, and mechanical systems that respond to their environment without constant human input or tethering.EN

Researchers have cracked how to read muscle electrical signals to detect when people are straining, offering a faster and cheaper alternative to measuring energy burn for optimizing robotic limb assistance. The finding could accelerate deployment of exoskeletons in warehouses and healthcare by enabling real-time, personalized device tuning without lab equipment.EN

Researchers have cracked a manufacturing bottleneck in perovskite solar cells using vacuum deposition—a scalable, solvent-free factory method. The breakthrough delivers certified 18.35% efficiency for single-layer devices and 27.2% for perovskite-silicon tandems, with cells retaining 80% performance after over 1,000 hours of stress testing, positioning the technology closer to commercial viability.EN

Researchers found that adding video to train language models helps only certain words, not all vocabulary equally. The discovery suggests companies investing in multimodal AI need to rethink training strategies based on what kinds of information models actually need to learn effectively.EN

Researchers have identified a critical flaw in next-generation wireless systems: conventional antenna designs fail catastrophically when obstructed by people or objects. A new radio-over-fiber architecture distributes antennas across larger spaces, dramatically reducing blockage vulnerability and cutting deployment costs for ultra-high-speed 6G networks.EN

Researchers have developed a method that extracts meaningful patterns from complex, noisy datasets—from brain scans to particle simulations—using topological data analysis integrated into visual exploration tools. The breakthrough could accelerate discoveries in neuroscience and materials engineering by helping scientists spot trends faster and compare results more reliably across studies.EN

Researchers have expanded the mathematical foundations underlying quantum computing by discovering how to construct new types of quantum groups—abstract structures that describe quantum systems. The work bridges previously disconnected areas of quantum mathematics, potentially opening pathways for engineers to design more versatile quantum hardware and algorithms.EN

Researchers have cracked a long-standing problem in perovskite solar cells—uneven material distribution that degrades performance. By using a seed-layer technique to control how atoms arrange during manufacturing, they've achieved certified efficiency gains and created flexible solar panels. The breakthrough could accelerate commercialization of lighter, cheaper alternatives to silicon cells.EN

Scientists have created a computational framework that can track and verify how human emotions change in response to observable actions, using formal logic and psychology theory. The work could shape how AI systems that interact with people—from customer service bots to mental health apps—are designed and audited for unintended emotional influence.EN

Researchers have engineered a way to spin leftover kraft lignin—a pulp mill byproduct—into fibers that absorb carbon dioxide and dyes from water. The advance could let pulp manufacturers convert waste into a profitable, climate-useful product without expensive new equipment.EN

Researchers have solved a decades-old problem in computational algebra by determining the mathematical properties of "thick trees"—generalized network structures used in data analysis and optimization. The work could accelerate algorithm design in fields ranging from supply chain logistics to machine learning, where understanding network complexity directly impacts computational efficiency.EN

Researchers have developed a probabilistic framework using Bayes' rule to accurately measure how microfluidic particle sorters actually perform—revealing capabilities that traditional measurement methods miss. The advance could accelerate adoption of these devices in pharmaceutical manufacturing, diagnostics, and biotech applications where precise cell and particle separation is critical.EN

Researchers have synthesized a new high-entropy alloy that can absorb hydrogen at extreme temperatures and pressures, expanding the potential uses of high-entropy materials in energy storage and industrial applications. The discovery demonstrates that these complex multi-element alloys are more chemically versatile than previously understood, with implications for next-generation materials in aerospace, energy, and manufacturing sectors.EN

Researchers have developed a more accurate mathematical framework for modeling how tumors spread, accounting for biological "memory effects" that standard models miss. The work could help oncologists better forecast disease progression and tailor treatment timing, potentially improving outcomes in precision medicine applications.EN

Scientists have developed an efficient method to convert discarded plastics into high-demand carbon nanotubes using electromagnetic heating and metal catalysts. The process achieves commercial viability at $4–$5 per kilogram, opening a new revenue stream for waste management companies while reducing landfill dependency.EN

Researchers have repurposed an AI algorithm designed to spot tumors on mammograms into a tool that predicts which women will develop breast cancer over the next four years. The advance could let screening programs personalize care and resource allocation, moving beyond one-size-fits-all protocols to target high-risk patients more efficiently.EN

Scientists have dramatically improved perovskite blue LEDs—a key bottleneck in next-generation display manufacturing—by engineering a molecular coating that stabilizes the light-emitting material. The advance delivers 9-fold better efficiency and 13-fold longer device lifespan, potentially opening a cost-effective path for companies to commercialize flexible screens and advanced lighting products.EN

Researchers have built a foundation model that accurately reads heart signals from any device or setting—home monitors, smartwatches, or hospital equipment. The breakthrough could enable affordable, scalable cardiac screening across populations, reducing barriers to early detection and potentially lowering healthcare costs.EN