Robotics News
RoboGrocery from MIT CSAIL is a soft robot to pack groceries, pick recyclables
Researchers at the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory (MIT CSAIL) have created a new soft robotic system that combines advanced vision technology, motor-based proprioception, soft tactile sensors, and a new...
Asteroid Institute and Google Cloud Identify 27,500 New Asteroids with Cloud-Based Astrodynamics and Data Mining
Asteroid Institute, a program of B612 Foundation, and Google Cloud announced the most significant results of their partnership to date: identifying 27,500 new, high-confidence asteroid discovery candidates. The work, which took place over several weeks, has the...
ACCESS: Using Supercomputers to Understand the Echoes of Toothed Whales
By emitting sounds and analyzing resulting echoes, humans and animals use active acoustic sensing systems to explore and comprehend their surroundings. Humans use high-frequency sonar systems, also known as echosounders or fishfinders, to observe fish and zooplankton...
Four Steps to Ensure GenAI Safety and Ethics
With the deployment of generative artificial intelligence (GenAI) happening at a rapid pace, organizations of all sizes are tasked with navigating the challenges around implementation, especially regarding ethics and accuracy. The post Four Steps to Ensure GenAI...
Top Three Pitfalls to Avoid When Processing Data with LLMs
As organizations in every industry rush to enrich their own private data sets with LLMs, the quest for more and better data is unfolding at a scale never seen before, stretching the limits of present-day infrastructure in new and disruptive ways. Yet the sheer scale...
Argonne’s Rick Stevens on Energy, AI, and a New Kind of Science
The world is currently experiencing two of the largest societal upheavals since the beginning of the Industrial Revolution. One is the rapid improvement and implementation of artificial intelligence (AI) tools, while the other is the sprint toward clean energy...
Machine Learning Predictions Successfully Model Atomic Masses of Nuclide Chart
The origin of heavy elements in our universe is theorized to be the result of neutron star collisions, which produce conditions hot and dense enough for free neutrons to merge with atomic nuclei and form new elements in a split-second window of time. Testing this...
Survey of Rapid Training Methods for Neural Networks
Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimization algorithms to iteratively refine their parameters until they converge to a solution that accurately...
Only 16% of manufacturers has real-time visibility into production, says Zebra
Only 1 in 6 manufacturers has a clear understanding of its own processes, according to a new study from Zebra Technologies Corp. The report also found that 61% of manufacturers expect artificial intelligence to drive growth by 2029, up from 41% in 2024. The post Only...
AI-augmented HPC and the Inflation of Science and Technology
In the universe of numeric computation, one way to predict the future is to draw lines based on the past. Though not always perfect, predicting how fast a supercomputer will run the HPC benchmark in the future is often about extending lines. These lines reflect...
Supercomputer Simulations Offer Explanation for X-ray Radiation from Black Holes
Researchers at the University of Helsinki have succeeded in something that has been pursued since the 1970s: explaining the X-ray radiation from the black hole surroundings. The radiation originates from the combined effect of the chaotic movements of magnetic fields...
Los Alamos Researchers Deploy AI Models to Predict Harmful Algal Blooms
June 20, 2024 — A team of Los Alamos National Laboratory scientists plan to use artificial intelligence modeling to forecast, and better understand, a growing threat to water caused by toxic algal blooms. Fueled by climate change and rising water temperatures, these...