Computers and Math from Science Daily Feed

In a study, scientists have shown neurotransmitters in the human brain are active during the processing of the emotional content of language, providing new understanding into how people interpret the significance of words.

As more products begin to depend on battery-based energy storage systems, shifting away from metal-based solutions will be critical to facilitating the green energy transition. Now, a team has transformed an organic industrial-scale waste product into an efficient storage agent for sustainable energy solutions that can one day be applied at much larger scales.

Neural implants contain integrated circuits (ICs) -- commonly called chips -- built on silicon. These implants need to be small and flexible to mimic circumstances inside the human body. However, the environment within the body is corrosive, which raises concerns about the durability of implantable silicon ICs. A team of researchers address this challenge by studying the degradation mechanisms of silicon ICs in the body and by coating them with soft PDMS elastomers to form body-fluid barriers that offer long-term protection to implantable chips. These findings not only enhance the longevity of implantable ICs but also significantly broaden their applications in the biomedical field.

Researchers have developed an innovative method for rapidly creating laser light sources in large quantities using an inkjet printer that ejects laser-emitting droplets. By applying an electric field to these droplets, the researchers demonstrated that switching the emission of light on and off is possible. Furthermore, they successfully created a compact laser display by arranging these droplets on a circuit board.

Researchers have developed a technology for voltage-controlled magnetization switching, which has the potential to be implemented in next-generation computational memory. This advanced technology enables low-energy data writing operations with non-volatility, making it scalable for future applications that require stable and reliable memory.

Engineers created a smaller, faster and more efficient photonic switch, which leverages principles from quantum mechanics and could accelerate everything from streaming to training AI by supercharging data centers.

Researchers focus on enhancing the aerodynamic performance of autonomous vehicles by reducing drag induced by externally mounted sensors such as cameras and light detection and ranging instruments. After establishing an automated computational platform, they combined the experimental design with a substitute model and an optimization algorithm to improve the structural shapes of AV sensors. They then performed simulations of both the baseline and optimized models. After optimizing the design, researchers found a 3.44% decrease in the total aerodynamic drag of an AV.

In order to uncover the relationship between structure and function, researchers used microfluidic devices to study neuronal networks.

Researchers have harnessed artificial intelligence to take a key step toward slashing the time and cost of designing new wireless chips and discovering new functionalities to meet expanding demands for better wireless speed and performance.

A formula can be used to predict what happens when a new species is introduced into an ecosystem -- whether it will establish itself in the community or fail to gain a foothold and die out.

Scientists have developed an advanced swarm navigation algorithm for cyborg insects that prevents them from becoming stuck while navigating challenging terrain. The new algorithm represents a significant advance in swarm robotics. It could pave the way for applications in disaster relief, search-and-rescue missions, and infrastructure inspection. Cyborg insects are real insects equipped with tiny electronic devices on their backs -- consisting of various sensors like optical and infrared cameras, a battery, and an antenna for communication -- that allow their movements to be remotely controlled for specific tasks.

Engineers have utilized quantum sensors to realize a groundbreaking variation of nuclear quadrupolar resonance (NQR) spectroscopy, a technique traditionally used to detect drugs and explosives or analyze pharmaceuticals. The new method is so precise that it can detect the NQR signals from individual atoms -- a feat once thought unattainable. This unprecedented sensitivity opens the door to breakthroughs in fields like drug development, where understanding molecular interactions at the atomic level is critical.

A new international study shows that AI-based models can outperform human experts at identifying ovarian cancer in ultrasound images.

Researchers design a new way to more reliably evaluate AI models' ability to make clinical decisions in realistic scenarios that closely mimic real-life interactions. The analysis finds that large-language models excel at making diagnoses from exam-style questions but struggle to do so from conversational notes. The researchers propose set of guidelines to optimize AI tools' performance and align them with real-world practice before integrating them into the clinic.

Hula hooping is so commonplace that we may overlook some interesting questions it raises: 'What keeps a hula hoop up against gravity?' and 'Are some body types better for hula hooping than others?' A team of mathematicians explored and answered these questions with findings that also point to new ways to better harness energy and improve robotic positioners.

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the result of AutoPET, an international competition in medical image analysis. The seven best autoPET teams report on how algorithms can detect tumor lesions in positron emission tomography (PET) and computed tomography (CT).

Researchers developed a type of infrared photodiode that is 35% more responsive at 1.55 m, the key wavelength for telecommunications, compared to other germanium-based components.