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Walking into your favorite restaurant and seeing a robot chef in the kitchen may seem far-fetched, but new research suggests that bots could be a solution to persistent labor shortages in the industry.

Walking into your favorite restaurant and seeing a robot chef in the kitchen may seem far-fetched, but new research suggests that bots could be a solution to persistent labor shortages in the industry.

A fresh look at past data reveals that exoplanets with masses similar to Jupiter formed much sooner than previously thought, according to new research.

Injuries to the articular cartilage in different joints, including the knee, are painful and limit mobility. Therefore, researchers are developing cartilage implants using cells from the patient's nasal septum. A recent study shows that giving these cartilage implants more time to mature significantly improved clinical efficacy, even in patients with complex cartilage injuries. This suggests that the method could also be suitable for the treatment of degenerated cartilage in osteoarthritis.

Engineers devised a new method for designing metals and alloys that can withstand extreme impacts, which could lead to the development of automobiles, aircraft and armor that can better endure high-speed impacts, extreme heat and stress.

Engineers have developed a pioneering prosthetic hand that can grip plush toys, water bottles, and other everyday objects like a human, carefully conforming and adjusting its grasp to avoid damaging or mishandling whatever it holds.

Engineers have developed a pioneering prosthetic hand that can grip plush toys, water bottles, and other everyday objects like a human, carefully conforming and adjusting its grasp to avoid damaging or mishandling whatever it holds.

Whether it's rivers cutting through earth, lava melting through rock, or water slicing through ice, channels all twist and bend in a seemingly similar back-and-forth manner. But a new study has discovered that channels carved by rivers actually have curves distinct to those cut by lava or ice.

Whether it's rivers cutting through earth, lava melting through rock, or water slicing through ice, channels all twist and bend in a seemingly similar back-and-forth manner. But a new study has discovered that channels carved by rivers actually have curves distinct to those cut by lava or ice.

A new understanding of how an observer can change the disorder, or entropy, of a quantum object could help us probe how gravity interacts with the quantum realm

Most people recover from norovirus, a highly contagious infection, within a few days but it can be particularly risky for some groups. Now a small trial of a pill designed to protect against the virus has shown promise in older people

Engineers have developed a method to utilize aluminum to improve performance of water electrolysis catalyst.

Experts see peer recognition as important to student success in physics, and a new study gives college-level physics instructors insight into how students perceive the message from their classmates that 'you're good at physics.' Even when women receive similar amounts of recognition from peers as men for excelling in physics classes, they perceive significantly less peer recognition, the researchers found.

A newly developed pentanuclear iron complex can offer an efficient, stable, and cost-effective solution for water oxidation. By electrochemically polymerizing the complex, researchers have obtained a polymer-based catalyst, poly-Fe5-PCz, and achieved water oxidation with up to 99% Faradaic efficiency and exceptional stability, even under rigorous conditions. This breakthrough offers a scalable alternative to rare metal catalysts, advancing hydrogen production and energy storage for renewable energy.

Working at nanoscale dimensions, billionths of a meter in size, a team of scientists revealed a new way to measure high-speed fluctuations in magnetic materials. Knowledge obtained by these new measurements could be used to advance technologies ranging from traditional computing to the emerging field of quantum computing.

Working at nanoscale dimensions, billionths of a meter in size, a team of scientists revealed a new way to measure high-speed fluctuations in magnetic materials. Knowledge obtained by these new measurements could be used to advance technologies ranging from traditional computing to the emerging field of quantum computing.

Theoretical physicists reveal that room-temperature superconductivity is possible within the laws of our Universe, linked to fundamental constants like electron mass and Planck constant. Discovery could revolutionize energy, quantum computing, and medical tech by enabling superconductors to work at ambient conditions. Research explores how varying fundamental constants could alter superconductivity limits, offering a glimpse into the delicate balance of our Universe.

Theoretical physicists reveal that room-temperature superconductivity is possible within the laws of our Universe, linked to fundamental constants like electron mass and Planck constant. Discovery could revolutionize energy, quantum computing, and medical tech by enabling superconductors to work at ambient conditions. Research explores how varying fundamental constants could alter superconductivity limits, offering a glimpse into the delicate balance of our Universe.

Binary neutron star mergers emit gravitational waves followed by light. To fully exploit these observations and avoid missing key signals, speed is crucial. An interdisciplinary team of researchers presents a novel machine learning method that can analyze gravitational waves emitted by neutron star collisions almost instantaneously -- even before the merger is fully observed. A neural network processes the data and enables a fast search for visible light and other electromagnetic signals emitted during the collisions. This new method could be instrumental in preparing the field for the next generation of observatories.

Binary neutron star mergers emit gravitational waves followed by light. To fully exploit these observations and avoid missing key signals, speed is crucial. An interdisciplinary team of researchers presents a novel machine learning method that can analyze gravitational waves emitted by neutron star collisions almost instantaneously -- even before the merger is fully observed. A neural network processes the data and enables a fast search for visible light and other electromagnetic signals emitted during the collisions. This new method could be instrumental in preparing the field for the next generation of observatories.