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Students at Ferris State University in Michigan will soon be sharing the classroom with AI-powered freshman “students” who will enroll in classes alongside them, MLive reports.

And no, they won’t have humanoid robot bodies — they’ll be interacting with students via computers, microphones, and speakers.

In an experiment led by associate professor Kasey Thompson, AI students dubbed Ann and Fry will be listening — or scanning through? — lectures, work on assignments, and even actively participate in discussions with other students, per the report.

Soft robots, medical devices, and wearable devices have permeated our daily lives. KAIST (Korea Advanced Institute of Science and Technology) researchers have developed a fluid switch using ionic polymer artificial muscles that operates at ultra-low power and produces a force 34 times greater than its weight. Fluid switches control fluid flow, causing the fluid to flow in a specific direction to invoke various movements.

KAIST announced on the 4th of January that a research team under Professor IlKwon Oh from the Department of Mechanical Engineering has developed a soft fluidic switch that operates at ultra-low voltage and can be used in narrow spaces.

The results have been published in Science Advances (“Polysulfonated Covalent Organic Framework as Active Electrode Host for Mobile Cation Guests in Electrochemical Soft Actuator”).

Ichthyosis refers to a group of skin disorders that lead to dry, itchy skin that appears scaly, rough, and red. Your health care provider may be able to diagnose ichthyosis with a genetic test that detects the mutated gene usually from a blood sample or a swab from the mouth. Find out more:


What is ichthyosis? It is a disorder that causes dry, thickened skin that may look similar to fish scales.

In a significant breakthrough, Microsoft and the Pacific Northwest National Laboratory have utilised artificial intelligence and supercomputing to discover a new material that could dramatically reduce lithium use in batteries by up to 70%. This discovery, potentially revolutionising the battery industry, was achieved by narrowing down from 32 million inorganic materials to 18 candidates in just a week, a process that could have taken over 20 years traditionally.

#microsoft #ai #gravitas.

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WION The World is One News examines global issues with in-depth analysis. We provide much more than the news of the day. Our aim is to empower people to explore their world. With our Global headquarters in New Delhi, we bring you news on the hour, by the hour. We deliver information that is not biased. We are journalists who are neutral to the core and non-partisan when it comes to world politics. People are tired of biased reportage and we stand for a globalized united world. So for us, the World is truly One.

Adversaries can deliberately confuse or even “poison” artificial intelligence (AI) systems to make them malfunction—and there’s no foolproof defense that their developers can employ. Computer scientists from the National Institute of Standards and Technology (NIST) and their collaborators identify these and other vulnerabilities of AI and machine learning (ML) in a new publication.

Their work, titled Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations, is part of NIST’s broader effort to support the development of trustworthy AI, and it can help put NIST’s AI Risk Management Framework into practice. The publication, a collaboration among government, academia, and industry, is intended to help AI developers and users get a handle on the types of attacks they might expect along with approaches to mitigate them—with the understanding that there is no silver bullet.

“We are providing an overview of attack techniques and methodologies that consider all types of AI systems,” said NIST computer scientist Apostol Vassilev, one of the publication’s authors. “We also describe current mitigation strategies reported in the literature, but these available defenses currently lack robust assurances that they fully mitigate the risks. We are encouraging the community to come up with better defenses.”

Emacs is one of the oldest and most versatile text editors. The GNU Emacs version was originally written in 1984 and is well known for its powerful and rich editing features. It can be customized and extended with different modes, enabling it to be used like an Integrated Development Environment (IDE) for programming languages such as Java, C, and Python.

For those who have used both the Vi and the user-friendly nano text editors, Emacs presents itself as an in-between. Its strengths and features resemble those of Vi, while its menus, help files, and command-keys compare with nano.

In this article, you’ll learn how to install Emacs on an Ubuntu 22.04 server and use it for basic text editing.

How is a black hole formed? In the simplest language, a black hole is born when a star dies. Now, astronomers have claimed that they might have just witnessed the birth of such a black hole in a major first. This is huge for the scientific community worldwide as it directly links the death of a star to the formation of a black hole-like compact object.

“Our research is like solving a puzzle by gathering all possible evidence,” Ping Chen, a researcher at the Weizmann Institute of Science in Israel, and lead author of a study published in Nature, was quoted as saying by Cosomos Magazine.

It started with the discovery of a super bright object in space, called SN 2022jli. The object, located some 76 million years away, was discovered by a South African amateur astronomer, Berto Monard. Soon it was confirmed that they had their eyes set on a supernova. A supernova occurs just as a star is breathing its last, or when a black hole is about to form.