Machine learning & AI news

Electronics & Semiconductors

'Origami' testing app could help tackle spread of malaria

A new approach to tackling the spread of malaria in sub-Saharan Africa, which combines affordable, easy-to-administer blood tests with machine learning and unbreakable encryption, has generated encouraging early results in ...

Other

A comprehensive study of technological change

The societal impacts of technological change can be seen in many domains, from messenger RNA vaccines and automation to drones and climate change. The pace of that technological change can affect its impact, and how quickly ...

Telecom

Predicting wireless traffic using AI could improve the reliability of future wireless communication

The prediction of future wireless traffic volumes using artificial intelligence (AI) would allow communication systems to automatically adjust network resources to maximize reliability. KAUST researchers have now developed ...

Computer Sciences

Platform teaches nonexperts to use machine learning

Machine-learning algorithms are used to find patterns in data that humans wouldn't otherwise notice, and are being deployed to help inform decisions big and small—from COVID-19 vaccination development to Netflix recommendations.

Automotive

Autonomous vehicles learning to drive by mimicking others

Self-driving cars are powered by machine learning algorithms that require vast amounts of driving data in order to function safely. But if self-driving cars could learn to drive in the same way that babies learn to walk—by ...

Computer Sciences

How will machine learning change science?

Machine learning has burst onto the scene in the past two decades and will be a defining technology of the future. It is transforming large sectors of society, including healthcare, education, transport, and food and industrial ...

Machine learning & AI

First machine-learning approach to forensic DNA analysis

As the field of forensics evolves, more complex evidence is being processed with greater precision, sensitivity and speed than ever before. To give a real-life example, consider a bank robbery where the perpetrator uses a ...

Robotics

A new taxonomy to characterize human grasp types in videos

Over the past few decades, roboticists and computer scientists have developed a variety of data-based techniques for teaching robots how to complete different tasks. To achieve satisfactory results, however, these techniques ...

Machine learning & AI

Machine learning applications need less data than has been assumed

A combined team of researchers from the University of British Columbia and the University of Alberta has found that at least some machine learning applications can learn from far fewer examples than has been assumed. In their ...

Computer Sciences

New simulator helps robots sharpen their cutting skills

Researchers from the University of Southern California (USC) Department of Computer Science and NVIDIA have unveiled a new simulator for robotic cutting that can accurately reproduce the forces acting on a knife as it slices ...

Hi Tech & Innovation

Wearable brain-machine interface turns intentions into actions

A new wearable brain-machine interface (BMI) system could improve the quality of life for people with motor dysfunction or paralysis, even those struggling with locked-in syndrome—when a person is fully conscious but unable ...

Machine learning & AI

Mind and matter: Modeling the human brain with machine learning

We all like to think that we know ourselves best, but given that our brain activity is largely governed by our subconscious mind, it is probably our brain that knows us better. While this is only a hypothesis, researchers ...

Machine learning & AI

Scientists adopt deep learning for multi-object tracking

Computer vision has progressed much over the past decade and made its way into all sorts of relevant applications, both in academia and in our daily lives. There are, however, some tasks in this field that are still extremely ...

Robotics

Neuro-evolutionary robotics: A gap between simulation and reality

Neuro-evolutionary robotics is an attractive approach to realize collective behaviors for swarms of robots. Despite the large number of studies that have been devoted to it and although many methods and ideas have been proposed, ...