Robotics News
Purdue researchers allow robots to see as well in pitch darkness
Researchers at Purdue University have developed a patent-pending vision method that improves on traditional machine vision and perception. The system, called HADAR or heat-assisted detection and ranging, allows robots to see in the dark the same as they can in...
MIT researchers help robots use their whole body to manipulate objects
An MIT research team has developed an AI technique that allows robots to manipulate objects with their entire hand or body, instead of just their fingertips. The post MIT researchers help robots use their whole body to manipulate objects appeared first on The Robot...
Streamlining Scientific Workflows for Accuracy and Reproducibility
Navigating the complexities of scientific research often involves juggling large data sets, multiple tools, and specialized software–especially in the realm of high performance computing (HPC). In an environment where the lack of reproducibility in scientific studies...
Leveraging Topological Data Analysis in Predicting Extreme Weather Events
Predicting extreme weather events allows governments to issue safety announcements and warnings and arrange evacuations. As a result, thousands of lives can be saved. Thankfully, extreme weather events don’t happen very often, although the US is one of the most...
How to simplify robotics research with a native, ROS-based system
The Robot Operating System (ROS) is a powerful open-source platform for robotics research, but until recently it lacked industrial-quality hardware that is tightly integrated with the ROS software stack. Robot equipment manufacturers use proprietary, closed-source...
Humanoids ready to take first steps
The age of humanoids is just around the corner. Humanoids are a subset of robotics that feature a bipedal (two legs) design, functional arms and “hands,” a torso and a head. It’s not necessary for these robots to recreate human hands and fingers, but rather to be able...
Appetizing Quantum Bits: Five Papers Looking at Noise, GANs, VQAs, Qubit Testing
Here are five papers from the Quantum Science Center (ORNL), Intel, the University of Science and Technology of China, the Quantum Information Sciences Section (ORNL) and University College Dublin that tackle the topics above. All were posted to arXiv in July. The...
Transferring Data with Many Colors of Light Simultaneously
The data centers and high-performance computers that run artificial intelligence programs, such as large language models, aren’t limited by the sheer computational power of their individual nodes. It’s another problem — the amount of data they can transfer among the...
Honeybees Make Rapid, Accurate Decisions and Could Inspire Future of AI, Study Suggests
New research revealing how honeybees can make fast and accurate decisions, which could help to design more efficient robots and autonomous machines, has been published by scientists at the University of Sheffield. The post Honeybees Make Rapid, Accurate Decisions and...
Georgia State Researchers Use Summit Supercomputer to Gain New Insights into DNA Repair
Transcription factor IIH, or TFIIH, pronounced “TF two H,” is a veritable workhorse among the protein complexes that control human cell activity. It plays critical roles both in transcription — the highly regulated enzymatic synthesis of RNA from a DNA template — and...
Researchers Use ORNL Supercomputer Summit to Investigate Dark Matter
A research team from the University of California, Santa Cruz, have used the Oak Ridge Leadership Computing Facility’s Summit supercomputer to run one of the most complete cosmological models yet to probe the properties of dark matter — the hypothetical cosmic web of...
LANL Theoretical Research Simplifies Machine Learning on Quantum Computers
New theoretical research proves that machine learning on quantum computers requires far simpler data than previously believed. The finding paves a path to maximizing the usability of today’s noisy, intermediate-scale quantum computers for simulating quantum systems...