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Tiny ‘rhinoceros beetle’ robot does micro-scale manipulation in extreme conditions

Engineers have designed a tiny, low-weight and cordless robot that can act independently and with ultra-high precision in all directions in some of the most extreme conditions. The robot, which the designers call "Holonomic Beetle 3" (or HB-3)—as they were inspired by the movements and anatomy of the rhinoceros beetle—combines the use of piezoelectric actuators with autonomous technology to enable micro-scale manipulation tasks that were previously out of reach for robots.

Smart, energy-efficient robot grippers cut production costs

Energy remains a significant factor in industrial production processes. High levels of energy consumption make production more expensive and exacerbate the climate crisis. A new type of robot technology needs 90% less electricity than conventional systems. The technology uses lightweight, shape memory materials to construct novel, non-pneumatic, industrial gripper systems that function without the need for additional sensors.

Innovative biorobotic arm uses artificial muscles to combat tremors, paving way for wearable solutions

It is estimated that about 80 million people worldwide live with a tremor. For example, those who live with Parkinson's disease. The involuntary periodic movements sometimes strongly affect how patients are able to perform daily activities, such as drinking from a glass or writing.

Artificial muscles for tremor suppression

Scientists have developed a biorobotic arm that can mirror human tremors, such as those experienced by individuals that live with Parkinson's disease. Artificial muscles on either side of the forearm contract and relax to suppress the involuntary shaking of the wrist and hand. The researchers see their biorobotic arm not only as a platform for other scientists in the field to test new ideas in exoskeleton technology. The arm also serves as a test bed to see how well artificial muscles known as HASELs can one day become the building blocks of wearable devices. The vision is to one day develop a sleeve that tremor patients can comfortably wear to be able to better cope with everyday tasks such as holding a cup.

Andrew Barto and Richard Sutton win 2024 Turing Award

Andrew Barto and Richard Sutton. Image credit: Association for Computing Machinery.

The Association for Computing Machinery, has named Andrew Barto and Richard Sutton as the recipients of the 2024 ACM A.M. Turing Award. The pair have received the honour for “developing the conceptual and algorithmic foundations of reinforcement learning”. In a series of papers beginning in the 1980s, Barto and Sutton introduced the main ideas, constructed the mathematical foundations, and developed important algorithms for reinforcement learning.

The Turing Award comes with a $1 million prize, to be split between the recipients. Since its inception in 1966, the award has honoured computer scientists and engineers on a yearly basis. The prize was last given for AI research in 2018, when Yoshua Bengio, Yann LeCun and Geoffrey Hinton were recognised for their contribution to the field of deep neural networks.

Andrew Barto is Professor Emeritus, Department of Information and Computer Sciences, University of Massachusetts, Amherst. He began his career at UMass Amherst as a postdoctoral Research Associate in 1977, and has subsequently held various positions including Associate Professor, Professor, and Department Chair. Barto received a BS degree in Mathematics (with distinction) from the University of Michigan, where he also earned his MS and PhD degrees in Computer and Communication Sciences.

Richard Sutton is a Professor in Computing Science at the University of Alberta, a Research Scientist at Keen Technologies (an artificial general intelligence company based in Dallas, Texas) and Chief Scientific Advisor of the Alberta Machine Intelligence Institute (Amii). Sutton was a Distinguished Research Scientist at Deep Mind from 2017 to 2023. Prior to joining the University of Alberta, he served as a Principal Technical Staff Member in the Artificial Intelligence Department at the AT&T Shannon Laboratory in Florham Park, New Jersey, from 1998 to 2002. Sutton received his BA in Psychology from Stanford University and earned his MS and PhD degrees in Computer and Information Science from the University of Massachusetts at Amherst.

The two researchers began collaborating in 1978, at the University of Massachusetts at Amherst, where Barto was Sutton’s PhD and postdoctoral advisor.

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Scientists develop open-source software for modeling soft materials

A team of researchers created Morpho, an open-source programmable environment that enables researchers and engineers to conduct shape optimization and design for soft materials. Applications can be for anything from artificial hearts to robot materials that mimic flesh and soft tissue.

Feeling is believing: Bionic hand ‘knows’ what it’s touching, grasps like a human

Johns Hopkins University engineers have developed a pioneering prosthetic hand that can grip plush toys, water bottles, and other everyday objects like a human, carefully conforming and adjusting its grasp to avoid damaging or mishandling whatever it holds.

AMD Radeon RX 9070 XT: A Game-Changer in the GPU Market?

The graphics card market has been a rollercoaster in recent years, with skyrocketing prices and supply shortages leaving gamers frustrated. Enter AMD’s latest offering, the Radeon RX 9070 XT, alongside its sibling, the RX 9070. Launching on March 6, 2025, these GPUs promise to shake up the mainstream segment with competitive pricing, impressive performance, and...

The post AMD Radeon RX 9070 XT: A Game-Changer in the GPU Market? appeared first on 1redDrop.

NVIDIA Results and Blackwell DeepSeek Success Showcase AI Concerns About NVIDIA Were Unfounded

NVIDIA just reported financials that showcase stunning growth in the AI space despite earlier concerns that DeepSeek’s emergence represented some kind of existential threat to the company. This position of weakness was never well founded given DeepSeek ran on older […]

The post NVIDIA Results and Blackwell DeepSeek Success Showcase AI Concerns About NVIDIA Were Unfounded appeared first on TechSpective.

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