Tech & AI

Scientists have identified the molecular mechanisms behind formamidinium perovskites' superior performance in solar cells—achieving efficiencies exceeding 27%. The findings clarify why this material outperforms older alternatives and offer a roadmap for stabilizing next-generation solar technology, critical as manufacturers race to commercialize perovskite panels at scale.EN

A study of seven IoT companies across energy, healthcare, and buildings reveals that industry-standard quality frameworks omit three essential requirements: trust, privacy, and energy efficiency. The gap forces businesses to design these protections independently, increasing costs and inconsistency—a finding that could prompt standards bodies and regulators to update requirements.EN

Researchers have developed a machine learning system that detects and blocks DDoS attacks faster than traditional firewalls. The two-layer approach combines neural networks with automated server defenses, addressing a growing threat that costs businesses millions annually in downtime and infrastructure damage.EN

A major birth registry study of over 226,000 pregnancies found that air pollution damages fetal development at levels considered safe by the WHO. The findings challenge current air quality guidelines and suggest public health agencies may need to lower pollution thresholds to protect maternal and child health outcomes.EN

Researchers have cracked a long-standing problem in AI: how machines can understand human beliefs and intentions well enough to collaborate effectively. The breakthrough uses a new abstraction method that helps AI cut through information overload, opening the door to smarter, more intuitive human-AI partnerships in medicine, finance, and other high-stakes fields.EN

Researchers coated yeast cells with conductive compounds to build a working fuel cell that produces significantly more power than unmodified versions. The advance could open a path toward cheaper, renewable energy systems using readily available biological materials—though current output remains too low for commercial use.EN

Researchers have cracked a decade-old computational challenge in simulating combustion processes, developing a hybrid numerical method that maintains mathematical stability while handling extreme singularities. The breakthrough could accelerate design of safer industrial reactors, engines, and energy systems by making simulations faster and more reliable.EN

A new study finds that AI resources like ChatGPT and DALL-E enhance graphic design education, helping students learn faster and explore ideas more freely. However, educators must teach students to critically evaluate AI outputs—a skill currently missing from most curricula, creating both an opportunity and challenge for design schools updating their programs.EN

Researchers have developed a new AI technique that can detect abnormal tissue in microscopy images without being trained on disease examples—a major step toward making diagnostic AI systems safer for hospitals. The method achieved 94% accuracy on real pathology data, potentially reducing costly errors when AI encounters unfamiliar cases.EN

A new study tracking smart grid development in an Arctic city reveals how digital networks are fundamentally reshaping the relationship between utilities and customers. As energy systems evolve from one-way transmission to two-way platforms, residents shift from passive consumers to active participants—a transformation with major implications for grid stability and energy transition investments.EN

Researchers developed a screening test that detects cancer-precursor cells in the bloodstream with 98.8% accuracy, potentially catching disease years before symptoms appear. The AI-powered approach could transform cancer prevention strategies and create a major new market for early-detection diagnostics.EN

Researchers developed a way to build virtual 3D models of metal alloys used in aircraft engines, predicting their mechanical properties without expensive physical testing. The technique could accelerate manufacturing timelines and cut development costs for high-performance aerospace components.EN

Researchers have developed a faster computational method for simulating fluid flow around obstacles—a critical task in designing everything from aircraft to offshore structures. The technique, tested on flow past cylinders, cuts computation time while maintaining accuracy, potentially accelerating product development cycles for industries reliant on complex fluid dynamics modeling.EN

Scientists at CERN have mapped how neutrons interact with ytterbium-176 to produce lutetium-177, a radioactive isotope increasingly used in cancer treatments. The high-resolution measurements resolve nuclear resonances for the first time, providing pharmaceutical manufacturers and nuclear medicine facilities with better data to optimize production routes and meet surging demand.EN

Researchers have developed a fast computational model that accurately predicts how wind turbine wakes affect downstream power generation across large farms. The breakthrough could help energy companies optimize turbine placement and operations, reducing costly trial-and-error approaches and improving renewable energy output.EN

Researchers have developed a hybrid optimization technique that combines strengths of two competing algorithms to solve difficult computational problems more efficiently. The breakthrough could accelerate machine learning training, industrial design, and other applications where finding the best solution among millions of options is critical to business performance.EN

Researchers created LYSTO, a benchmark dataset that enabled AI systems to match pathologist accuracy in counting lymphocytes—key immune cells—in cancer biopsies. The work signals that machine learning can reliably automate labor-intensive microscopy tasks, potentially accelerating cancer diagnosis and reducing costs for hospitals and diagnostic labs.EN

Researchers have developed simpler mathematical criteria to forecast when complex systems will oscillate or destabilize—without the restrictive conditions previous methods required. The findings could streamline engineering design across telecommunications, energy grids, and industrial controls by making predictive models faster and cheaper to validate.EN

Researchers have developed a smarter way to distribute computing tasks across cloud data centers, reducing wasted processing power and energy use. The technique could help companies trim their cloud infrastructure bills while maintaining performance—a crucial advantage as enterprises face mounting pressure to control computing costs.EN

Archaeologists analyzing 2,500-year-old pottery from Baltic graves discovered that funeral vessels followed completely different design rules than household ceramics, even when made from similar clay. The finding offers new insights into how communities used material culture to mark sacred rituals—a pattern relevant to understanding how societies structure meaning through objects.EN

Researchers have developed a faster, more accurate method for compressing 3D product shape data used in computer-aided design software. The breakthrough could reduce file sizes and transfer times for manufacturers managing complex product designs, potentially cutting costs in industries from automotive to aerospace.EN

A new analysis of Rio de Janeiro's waste streams shows the state could generate enough biogas to replace up to 22% of its natural gas demand and produce enough fertilizer to meet regional agricultural needs. The finding suggests a viable path for reducing fossil fuel dependence while tackling emissions from livestock farming and waste management.EN

Researchers have engineered a material combining ceramic and hydrogel that absorbs impact better than existing spinal implants while promoting bone growth and resisting infection. The advance could reduce revision surgeries and improve patient outcomes, opening a significant market opportunity for orthopedic device makers.EN

A trucking fleet cut dangerous speeding violations substantially by installing in-vehicle monitoring systems that provide drivers immediate feedback on their behavior. The effect was strongest for the most reckless drivers, suggesting targeted safety programs could reduce the roughly one-third of large truck crashes tied to speeding—saving lives and liability costs.EN

A new review argues that clinicians and researchers have underestimated the complexity of compound muscle action potential (CMAP) recordings—a standard diagnostic tool used to detect nerve and muscle disorders. Better understanding how to capture and interpret these signals could improve diagnosis of conditions from ALS to diabetes-related nerve damage, affecting treatment decisions for millions of patients.EN