Posts in category

Machine Learning


Artificial intelligence has become a focus of certain ethical concerns, but it also has some major sustainability issues. Last June, researchers at the University of Massachusetts at Amherst released a startling report estimating that the amount of power required for training and searching a certain neural network architecture involves the emissions of roughly 626,000 pounds of carbon …

“It’s not rocket science” may be a tired cliché, but that doesn’t mean designing rockets is any less complicated. Time, cost and safety prohibit testing the stability of a test rocket using a physical build “trial and error” approach. But even computational simulations are extremely time consuming. A single analysis of an entire SpaceX Merlin …

Intel and the Georgia Institute of Technology (Georgia Tech) announced that they have been selected to lead a Guaranteeing Artificial Intelligence (AI) Robustness against Deception (GARD) program team for the Defense Advanced Research Projects Agency (DARPA). Intel is the prime contractor in this four-year, multimillion-dollar joint effort to improve cybersecurity defenses against deception attacks on …

Red Hat, Inc., the world’s leading provider of open source solutions, highlighted that more organizations are using Red Hat OpenShift as the foundation for building artificial intelligence (AI) and machine-learning (ML) data science workflows and AI-powered intelligent applications. OpenShift helps to provide agility, flexibility, portability and scalability across the hybrid cloud, from cloud infrastructure to edge …

Researchers have created a machine learning framework to precisely locate atom-sized quantum bits in silicon. It’s a crucial step for building a large-scale silicon quantum computer, the researchers report.  Here, Muhammad Usman and Lloyd Hollenberg of the University of Melbourne explain their research and what it means for the future of quantum computers: Quantum computers are expected to offer …

Scientists at Nanyang Technological University, Singapore (NTU Singapore), Massachusetts Institute of Technology (MIT), and Brown University have developed new approaches that significantly improve the accuracy of an important material testing technique by harnessing the power of machine learning. Nano-indentation – the process of poking a sample of a material with a sharp needle-like tip to …

What it is: A new low-latency, power-efficient framework for running machine learning in the rendering pipeline for standalone VR devices that use mobile chipsets. This architecture makes it possible to use ML on these devices to significantly improve image quality and video rendering. We have created a sample application under this framework to reconstruct higher-resolution …

Over the last century, scientists have developed methods to map the structures within the Earth’s crust, in order to identify resources such as oil reserves, geothermal sources, and, more recently, reservoirs where excess carbon dioxide could potentially be sequestered. They do so by tracking seismic waves that are produced naturally by earthquakes or artificially via …

The enterprise applications for artificial intelligence and machine learning seem to grow by the day. To take advantage of everything AI/ML technologies have to offer, it’s important to have a platform that supports your needs fully—whether you’re a developer, a data scientist, an analyst, or just interested in AI. But with so many features and …