Computers and Math from Science Daily Feed

A new study uses AI to modify drug doses for personalized cancer treatment.

An international team has explored how in future aerial robots could process construction materials precisely in the air -- an approach with great potential for difficult-to-access locations or work at great heights. The flying robots are not intended to replace existing systems on the ground, but rather to complement them in a targeted manner for repairs or in disaster areas, for instance.

Scientists developed a machine-learning tool that can teach itself, with minimal external guidance, to differentiate between aerial images of flowering and nonflowering grasses -- an advance that will greatly increase the pace of agricultural field research, they say. The work was conducted using images of thousands of varieties of Miscanthus grasses, each of which has its own flowering traits and timing.

Researchers trained and validated a deep learning model that can detect subtle changes across post-treatment brain scans and forecast glioma recurrence with up to 89 percent accuracy.

New research can transform how hospitals triage, risk-stratify, and counsel patients to save lives.

Inspired by the movements of a tiny parasitic worm, engineers have created a 5-inch soft robot that can jump as high as a basketball hoop. Their device, a silicone rod with a carbon-fiber spine, can leap 10 feet high even though it doesn't have legs. The researchers made it after watching high-speed video of nematodes pinching themselves into odd shapes to fling themselves forward and backward.

The iCares bandage uses innovative microfluidic components, sensors, and machine learning to sample and analyze wounds and provide data to help patients and caregivers make treatment decisions.

A team of biomedical researchers trained a machine learning algorithm to identify more than two dozen viable treatments for diseases caused by zoonotic pathogens that can jump from animal hosts to infect humans. Scientists used Rhodium software to study bat-borne Nipah and Hendra henipaviruses, which are endemic to some parts of the world and cause particularly lethal infections in humans.

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists combine elements of different methods to improve algorithms or create new ones.

Addressing the challenges of fragrance design, researchers have developed an AI model that can automate the creation of new fragrances based on user-defined scent descriptors. The model uses mass spectrometry profiles of essential oils and corresponding odor descriptors to generate essential oil blends for new scents. This breakthrough is a game-changer for the fragrance industry, moving beyond trial-and-error, enabling rapid and scalable fragrance production.

Researchers have identified a new material which could be used as a flexible semiconductor in wearable devices by using a technique that focuses on the manipulation of spaces between atoms in crystals.

Most people generally are more concerned about the immediate risks of artificial intelligence than they are about a theoretical future in which AI threatens humanity. A new study reveals that respondents draw clear distinctions between abstract scenarios and specific tangible problems and particularly take the latter very seriously.

Smartphones may often feel like a source of stress, feeding us an endless stream of bad news and social comparison. But what if they could also be the solution? A team of researchers believes they can be. The team has developed a smartphone app that delivers core techniques of cognitive-behavioral therapy (CBT) -- a proven treatment for depression and anxiety -- straight into the hands of users, and tested it in the largest-ever individually randomized trial of its kind. Their resilience training app, called RESiLIENT, was tested on nearly 4,000 adults across Japan experiencing subthreshold depression -- a form of low-level but persistent depressive symptoms that doesn't meet criteria for major depressive disorder but can still be debilitating. This condition affects an estimated 11% of people worldwide and often goes untreated.

Engineers developed a technique to grow and peel ultrathin 'skins' of electronic material that could be used in applications such as night-vision eyewear and autonomous driving in foggy conditions.

The invention is a metamaterial, which is a material engineered to feature new and unusual properties that depend on the material's physical structure rather than its chemical composition. In this case, the researchers built their metamaterial using a combination of simple plastics and custom-made magnetic composites. Using a magnetic field, the researchers changed the metamaterial's structure, causing it to expand, move and deform in different directions, all remotely without touching the metamaterial.

Researchers have developed a new robotic framework powered by artificial intelligence -- called RHyME (Retrieval for Hybrid Imitation under Mismatched Execution) -- that allows robots to learn tasks by watching a single how-to video.

With the assumption that students are going to use artificial intelligence and large language models such as ChatGPT to do their homework, researchers set out to learn how well the free version of ChatGPT would compare with human students in a semester-long undergraduate control systems course.

Researchers have developed a new artificial intelligence (AI) technique that brings machine vision closer to how the human brain processes images. Called Lp-Convolution, this method improves the accuracy and efficiency of image recognition systems while reducing the computational burden of existing AI models.

A powerful clinical artificial intelligence tool developed by biomedical informatics researchers has demonstrated remarkable accuracy on all three parts of the United States Medical Licensing Exam (Step exams), according to a new article.

Working memory is like a mental chalkboard we use to store temporary information while executing other tasks. Scientists worked with more than 200 elementary students to test their working memory, assess its role in word-problem solving and if interventions could boost it and thereby improve their word problem solving skills. Results showed that improving working memory helped both students with and without math difficulties and can help educators more effectively by helping teach the science of math, study authors argue.