Computers and Math from Science Daily Feed

A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on synthetically generated data before it is used and thus learns to evaluate possible causal relationships and use them for predictions.

AI-powered algorithm can analyze video recordings of clinical sleep tests and more accurately diagnose REM sleep behavior disorder.

Researchers have developed a method for quickly detecting and identifying very low concentrations of gases, which, could form the basis for highly sensitive real-time sensors for applications such as environmental monitoring, breath analysis and chemical process control.

Facing high employee turnover and an aging population, nursing homes have increasingly turned to robots to complete a variety of care tasks, but few researchers have explored how these technologies impact workers and the quality of care. A new study on the future of work finds that robot use is associated with increased employment and employee retention, improved productivity and a higher quality of care.

A new artificial intelligence tool combines data from medical images with text to predict cancer prognoses and treatment responses.

Scientists have invented compact wearable devices that deliver rich, expressive, and pleasant tactile sensations that go far beyond the buzzing vibrations of today's consumer devices.

Research demonstrates that AI can determine the course and severity of aggressive skin cancers, such as Merkel cell carcinoma (MCC), to enhance clinical decision making by generating personalzsed predictions of treatment specific outcomes for patients and their doctors.

Researchers have found a low-power, inexpensive way for large numbers of devices, such as machines in factories and equipment in labs, to share information by efficiently using signals at untapped high frequencies. The technology is an advanced version of a device that transmits data in a wireless system, commonly known as a tag.

A team has gained new insights into lithium-sulphur pouch cells at the BAMline of BESSY II. A new picture emerges of processes that limit the performance and lifespan of this industrially relevant battery type.

In the same way that ChatGPT understands human language, a new AI model developed by computational biologists captures the language of cells to accurately predict their activities.

A new study reveals that generative Artificial Intelligence (AI) can help expedite the search for solutions to reduce enteric methane emissions caused by cows in animal agriculture, which accounts for about 33 percent of U.S. agriculture and 3 percent of total U.S. greenhouse gas emissions.

A research team has achieved a groundbreaking quantum simulation of the non-Hermitian skin effect in two dimensions using ultracold fermions, marking a significant advance in quantum physics research.

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.