Lifeboat Foundation

Researchers at the University of West Scotland (UWS) believe that groundbreaking artificial intelligence (AI) could help reduce winter stresses and demands on hospitals. The innovative approach, using AI, would automatically diagnose lung diseases, such as pneumonia and tuberculosis.

The research was published in the journal Computer Methods and Programs in Biomedicine.

The robot can understand natural language commands, remember what it learned, and reuse instructions for similar tasks down the line.

COURTS across the globe are braced for a surge in cases related to AI in years to come as the technology develops at a rapid pace.

Officials are scrambling to come up with new laws on how the advanced systems should be kept in check and ultimately who is responsible for what they do or create.

We recently heard about AI-generated art that won a competition in Colorado, leading to a backlash and questions about fairness.

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) has published three Industrial Control Systems (ICS) advisories about multiple vulnerabilities in software from ETIC Telecom, Nokia, and Delta Industrial Automation.

Prominent among them is a set of three flaws affecting ETIC Telecom’s Remote Access Server (RAS), which “could allow an attacker to obtain sensitive information and compromise the vulnerable device and other connected machines,” CISA said.

Teleportation became a bit more real on Saturday when a German team of data scientists and engineers won the ANA Avatar XPRIZE competition in Long Beach, California, with a four-wheeled, humanoid robot named NimbRo.

But in this form of teleportation, rather than transporting a human to a remote location, vision, hearing, and a sense of touch were wirelessly transmitted from a humanoid robot to a remote human operator who then directed the robot to complete a series of complex tasks.

Continue reading “Teleportation Anyone? XPRIZE Winner Is The Closest You Can Get” »

‘These structures provide an unprecedented view into the breadth and diversity of nature,’ say the researchers.

In a world first, Meta’s artificial intelligence (AI) has produced the structures of the metagenomic world at the scale of hundreds of millions of proteins, according to a blog by the company published on Tuesday.

“Proteins are complex and dynamic molecules, encoded by our genes, that are responsible for many of the varied and fundamental processes of life. They have an astounding range of roles in biology,” wrote the Meta research team who also published a paper on the matter in the preprint database bioRxiv.

Continue reading “Meta AI creates first ever database of 600 million metagenomic structures” »

It’s a small comparison percentage, however, it matters.

The big idea.

Simonkr/iStock.

Continue reading “Women get to speak less in TV debates than men, AI analyzes 625,409 dialogues” »

Traumatic brain injuries might have faded from the headlines since the NFL reached a $765 million settlement for concussion-related brain injuries, but professional football players aren’t the only ones impacted by these injuries. Each year, between 2 million and 3 million Americans suffer from traumatic brain injuries—from elderly people who fall and hit their head, to adolescents playing sports or falling out of trees, to people in motor vehicle accidents.

There are currently no treatments to stop the long-term effects of a traumatic brain injury (TBI), and accurate diagnosis requires a visit to a medical center for a CT scan or MRI, both of which involve large, expensive equipment.

UC San Diego bioengineering Professor Ester Kwon, who leads the Nanoscale Bioengineering research lab at the Jacobs School of Engineering, aims to change that. Kwon’s team is developing nanomaterials—materials with dimensions on the nanometer scale—that could be used to diagnose traumatic brain injury on the spot, be it a sports field, the scene of a car accident, or a clinical setting. They’re also engineering nanoparticles that could target the portion of the patient’s brain that was injured, delivering specific therapeutics to treat the injury and improve the patient’s long-term quality of life.

Los Alamos National Laboratory researchers have developed a novel method for comparing neural networks that looks into the “black box” of artificial intelligence to help researchers comprehend neural network behavior. Neural networks identify patterns in datasets and are utilized in applications as diverse as virtual assistants, facial recognition systems, and self-driving vehicles.

“The artificial intelligence research community doesn’t necessarily have a complete understanding of what neural networks are doing; they give us good results, but we don’t know how or why,” said Haydn Jones, a researcher in the Advanced Research in Cyber Systems group at Los Alamos. “Our new method does a better job of comparing neural networks, which is a crucial step toward better understanding the mathematics behind AI.”