An expert in energy technologies uses AI tools to investigate the impact of extreme weather on solar-powered and electrified homes and uncover their unique vulnerabilities and develop insights on how they handle harsh conditions. As winter storms and summer heat waves increasingly stress the nation's power grids, Stevens researchers have developed a new way to
Using a pioneering artificial intelligence platform, researchers have assessed whether a cardiac AI tool recently trialed in South Australian hospitals actually has the potential to assist doctors and nurses to rapidly diagnose heart issues in emergency departments. Using a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialled
An expert in energy technologies uses AI tools to investigate the impact of extreme weather on solar-powered and electrified homes and uncover their unique vulnerabilities and develop insights on how they handle harsh conditions. As winter storms and summer heat waves increasingly stress the nation's power grids, Stevens researchers have developed a new way to
An expert in energy technologies uses AI tools to investigate the impact of extreme weather on solar-powered and electrified homes and uncover their unique vulnerabilities and develop insights on how they handle harsh conditions. As winter storms and summer heat waves increasingly stress the nation's power grids, Stevens researchers have developed a new way to
Scientists have successfully developed a gastric cancer model using 3D bioprinting technology and patient-derived cancer tissue fragments. This innovative model preserves the characteristics of actual patient tissues and is expected to rapidly evaluate and predict individual patient drug responses. A collaborative research team led by Professor Jinah Jang from the Department of Mechanical Engineering and
Using a pioneering artificial intelligence platform, researchers have assessed whether a cardiac AI tool recently trialed in South Australian hospitals actually has the potential to assist doctors and nurses to rapidly diagnose heart issues in emergency departments. Using a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialled
Researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems. In a series of image classification experiments, they used scattered light from a low-power laser to perform accurate, scalable computations using a fraction of the energy of electronics. EPFL researchers have published a programmable framework that overcomes a
The movement of radiant heat -- felt when a hot surface warms our bodies and homes -- between buildings and their surroundings at ground level makes buildings with less skyward-facing surfaces harder to cool. A research team has demonstrated a new passive cooling technology that coats walls and windows with materials that can better manage
Two new studies introduce AI systems that use either video or photos to create simulations that can train robots to function in the real world. This could significantly lower the costs of training robots to function in complex settings. Two new studies introduce AI systems that use either video or photos to create simulations that
Scientists overturned long-held assumptions in that finds water can be a help for adhesion. The implications of this research are particularly in biomedical applications such as bandages, health monitoring sensors for moist skin, and advanced adhesives that could replace sutures. The insights gained into leveraging surface roughness and material properties could revolutionize industries worth billions
A previously unknown mechanism of active matter self-organization essential for bacterial cell division follows the motto 'dying to align': Misaligned filaments 'die' spontaneously to form a ring structure at the center of the dividing cell. The work could find applications in developing synthetic self-healing materials. A previously unknown mechanism of active matter self-organization essential for
A research team has constructed an unprecedented chiral-structured interface in perovskite solar cells, which enhances the reliability and power conversion efficiency of this fast-advancing solar technology and accelerates its commercialization. A research team led by the School of Engineering of the Hong Kong University of Science and Technology (HKUST) has constructed an unprecedented chiral-structured interface
A research team reports a pioneering plasma-catalytic process for the hydrogenation of CO2 to methanol at room temperature and atmospheric pressure. This breakthrough addresses the limitations of traditional thermal catalysis, which often requires high temperatures and pressures, resulting in low CO2 conversion and methanol yield. Researchers at the University of Liverpool have achieved a significant
Most of us learned about butterfly metamorphosis as a kid -- a wriggly caterpillar molts its skin to form a tough chrysalis and emerges as a beautiful butterfly. But how exactly do chrysalises stay anchored as the butterfly brews within? Research shows that, despite their silks being weak and thin on their own, caterpillars can
Microalgae such as the diatom Odontella aurita and the green alga Tetraselmis striata are especially suitable as 'biofactories' for the production of sustainable materials for 3D laser printing due to their high content in lipids and photoactive pigments. An international research team has succeeded for the first time in manufacturing inks for printing complex biocompatible
Researchers invented a technique that uses a specialized light projector and a photosensitive chemical additive to imprint two- and three-dimensional images inside any polymer. The light-based engraving remains in the polymer until heat or light are applied, which erases the image and makes it ready to use again. The technology is intended for any situation
Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use machine learning in computational biology, understanding model behavior remains crucial for uncovering the underlying biological mechanisms in health and disease. Researchers now propose guidelines that
Physicists have used Doppler-shifted nuclear resonant absorbers to form a nuclear frequency comb, enabling a quantum memory in the notoriously difficult X-ray range. Light is an excellent carrier of information used not only for classical communication technologies but also increasingly for quantum applications such as quantum networking and computing. However, processing light signals is far