Machine learning & AI news

Computer Sciences

Digital human platform brings to life Einstein's voice for a conversational chatbot

Audio content production company Aflorithmic and digital human creators UneeQ have collaborated to synthesize the voice of renowned historical scientist, Albert Einstein.

Computer Sciences

New AI tool tracks evolution of COVID-19 conspiracy theories on social media

A new machine-learning program accurately identifies COVID-19-related conspiracy theories on social media and models how they evolved over time—a tool that could someday help public health officials combat misinformation ...

Robotics

Army researchers create pioneering approach to real-time conversational AI

Spoken dialogue is the most natural way for people to interact with complex autonomous agents such as robots. Future Army operational environments will require technology that allows artificial intelligent agents to understand ...

Automotive

Breakthrough in travel behavior research with artificial neural networks

Researchers at the Future Urban Mobility Interdisciplinary Research Group at Singapore-MIT Alliance for Research and Technology, MIT's research enterprise in Singapore, have created a synthetic framework known as a theory-based ...

Hi Tech & Innovation

Combining news media and AI to rapidly identify flooded buildings

Artificial intelligence (AI) has sped up the process of detecting flooded buildings immediately after a large-scale flood, allowing emergency personnel to direct their efforts efficiently. Now, a research group from Tohoku ...

Machine learning & AI

Discerning deep fakes digitally

Computer-generated images are becoming increasingly realistic to the point that viewers might, with a casual glance, assume an image to be a natural, real image rather than CGI, and now even to the point that deep fakes are ...

Computer Sciences

Study identifies a universal property for efficient communication

Words categorize the semantic fields they refer to in ways that maximize communication accuracy while minimizing complexity. Recent studies have shown that human languages are optimally balanced between accuracy and complexity. ...

Machine learning & AI

Machine learning at speed with in-network aggregation

Inserting lightweight optimization code in high-speed network devices has enabled a KAUST-led collaboration to increase the speed of machine learning on parallelized computing systems five-fold.

Machine learning & AI

AI-assisted detection of biosignals and human emotions

Fundamental methodology research on autonomous learning can benefit most, if not all, computer vision tasks. With the aid of autonomous learning, we can automatically design a contextual-aware neural network for different ...

Machine learning & AI

Filling the gaps using image inpainting

Image inpainting is a computer vision technique in which pixels missing from an image are filled in. It is often used to remove unwanted objects from an image or to recreate missing regions of occluded images. Inpainting ...

Computer Sciences

An artificial intelligence tool that can help detect melanoma

Melanoma is a type of malignant tumor responsible for more than 70 percent of all skin cancer-related deaths worldwide. For years, physicians have relied on visual inspection to identify suspicious pigmented lesions (SPLs), ...

Robotics

Digital twin can protect physical systems and train new users

It is more complicated than copy and paste, but digital twins could be the way of future manufacturing according to researchers from the University of Kentucky. They developed a virtual environment based on human-robot interactions ...

Computer Sciences

Deep learning networks prefer the human voice—just like us

The digital revolution is built on a foundation of invisible 1s and 0s called bits. As decades pass, and more and more of the world's information and knowledge morph into streams of 1s and 0s, the notion that computers prefer ...

Computer Sciences

Topological data analysis can help predict stock-market crashes

EPFL scientists, together with local startup L2F, have developed a robust model that can predict when a systemic shift is about to occur, based on methods from a branch of mathematics called topological data analysis.

Internet

Inferring what we share by how we share

It's getting harder for people to decipher real information from fake information online. But patterns in the ways in which information is spread over the internet—say, from user to user on a social media network—may ...