Posts in category

Machine Learning


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 …

Machine learning technology continues to improve at a rapid pace, with increasingly accurate models being used to solve more complex problems. However, with this increased accuracy comes greater complexity. This complexity makes debugging models more challenging. To help with this, last November Google Cloud introduced Explainable AI, a tool designed to help data scientists improve their …

For all the progress researchers have made with machine learning in helping us doing things like crunch numbers, drive cars and detect cancer, we rarely think about how energy-intensive it is to maintain the massive data centers that make such work possible. Indeed, a 2017 study predicted that, by 2025, internet-connected devices would be using 20 …

Being a cybersecurity analyst at a large company today is a bit like looking for a needle in a haystack — if that haystack were hurtling toward you at fiber optic speed. Every day, employees and customers generate loads of data that establish a normal set of behaviors. An attacker will also generate data while …

Battery performance can make or break the electric vehicle experience, from driving range to charging time to the lifetime of the car. Now, artificial intelligence has made dreams like recharging an EV in the time it takes to stop at a gas station a more likely reality, and could help improve other aspects of battery …