Computers and Math from Science Daily Feed

In an effort to make the internet more accessible for people with disabilities, researchers have begun developing an artificial intelligence agent that could complete complex tasks on any website using simple language commands.

Researchers have demonstrated the remarkable ability to perturb pairs of spatially separated yet interconnected quantum entangled particles without altering their shared properties.

A combination of only 11 proteins can predict long-term disability outcomes in multiple sclerosis (MS) for different individuals. The identified proteins could be used to tailor treatments to the individual based on the expected severity of the disease.

A study has used the power of machine learning to overcome a key challenge affecting quantum devices. For the first time, the findings reveal a way to close the 'reality gap': the difference between predicted and observed behavior from quantum devices.

Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to accurately detect small objects. Now, researchers have developed DPPFA Net, an innovative network that overcomes challenges related to occlusion and noise introduced by adverse weather. Their findings will pave the way for more perceptive and capable autonomous systems.

Researchers have developed a new soft robot design that engages in three simultaneous behaviors: rolling forward, spinning like a record, and following a path that orbits around a central point. The device, which operates without human or computer control, holds promise for developing soft robotic devices that can be used to navigate and map unknown environments.

Researchers have developed a groundbreaking artificial intelligence (AI) system that can rapidly detect COVID-19 from chest X-rays with more than 98 percent accuracy.

Researchers have developed a new AI-powered algorithm to help understand how different cells organize themselves into particular tissues and communicate with one another.

Researchers have used a soft, wearable robot to help a person living with Parkinson's walk without freezing. The robotic garment, worn around the hips and thighs, gives a gentle push to the hips as the leg swings, helping the patient achieve a longer stride. The device completely eliminated the participant's freezing while walking indoors, allowing them to walk faster and further than they could without the garment's help.

Spin-orbit torque (SOT), an important phenomenon for developing ultrafast and low-power spintronic devices, can be enhanced through Berry phase monopole engineering at high temperatures. In a new study, the temperature dependence of the intrinsic spin Hall effect of TaSi2 was investigated. The results suggest that Berry phase monopole engineering is an effective strategy for achieving high-temperature SOT spintronic devices.

Researchers have created the first functional semiconductor made from graphene, a single sheet of carbon atoms held together by the strongest bonds known. The breakthrough throws open the door to a new way of doing electronics.

Coal is an abundant resource in the United States that has, unfortunately, contributed to climate change through its use as a fossil fuel. As the country transitions to other means of energy production, it will be important to consider and reevaluate coal's economic role. Coal may actually play a vital role in next-generation electronic devices.

Researchers have fabricated a new high-performance shortwave infrared (SWIR) image sensor based on non-toxic colloidal quantum dots. They report on a new method for synthesizing functional high-quality non-toxic colloidal quantum dots integrable with complementary metal-oxide-semiconductor (CMOS) technology.

Researchers developed an artificial intelligence tool to quickly analyze gene activities in medical images and provide single-cell insight into diseases in tissues and tissue micro-environments.

New research finds that social media platforms and the metrics that reward content creators for revealing their innermost selves to fans open creators up to identity-based harassment.