Four process mining advancements by Celonis include analysis of multiple connected processes to create a digital twin of an organization.
Drawing inspiration from the way ecologists measure biodiversity, a method to score an AI's diversity could help determine how biased a computer system is
There's no need to panic about a pending robot takeover just yet. Only 14% of workers say they've seen their job replaced by a robot. But those who have experienced job displacement due to a robot overstate the effect of robots taking jobs from humans by about three times.
Imperial privacy experts have created an AI algorithm that automatically tests privacy-preserving systems for potential data leaks.
With the amount of information on the internet increasing by the minute, and retrieving meaningful data from it is sometimes like trying to find a needle in a haystack. Content-based image retrieval (CBIR) systems are capable of retrieving desired images based on the user's input from an extensive database.
The Industrial Internet of Things, or IIoT, has recently gained popularity due to its ability to create communication networks between different components of an industry and bring about the new revolution—Industry 4.0. Powered by wireless 5G connectivity and artificial intelligence (AI), IIoT holds the ability to analyze critical problems and provide solutions that can improve the operational performance of industries ranging from manufacturing to health care.
Mad Street Den offers retailers Vue.ai's automation and user experience management with Inturn's inventory workflow and margin optimization.
Using a miniature camera and a customized deep neural network, Cornell researchers have developed a first-of-its-kind wristband that tracks the entire body posture in 3D.
Appen’s latest State of AI Report reveals advances in helping enterprises overcome barriers to sourcing and preparing their data.
Yanliang Zhang, associate professor of aerospace and mechanical engineering at the University of Notre Dame, and collaborators Alexander Dowling and Tengfei Luo have developed a machine-learning assisted superfast new way to create high-performance, energy-saving thermoelectric devices.
A team of researchers with members from MIT, UC Berkely and FAR AI has created a computer program to target vulnerabilities in the KataGo program that allow it to beat the AI-based system. They have published a paper describing their efforts on the arXiv preprint server.
In a new paper published in eLight, a team of scientists led by Professor Bahram Jalali and graduate student Callen MacPhee from UCLA have developed a new algorithm for performing computational imaging tasks. The paper "VEViD: Vision Enhancement via Virtual diffraction and coherent Detection" uses a physics-based algorithm to correct for poor illumination and low contrast in images captured in low-light conditions.
Recent advancements in the field of machine learning (ML) have greatly improved the quality of automatic translation tools. At present, these tools are primarily used to translate basic sentences, as well as short texts or unofficial documents.
Today’s automobile might contain anywhere from 1,400 to over 3,000 individual semiconductor devices, and that number is growing with EVs.
The research collaboration comes on the heels of several other high-value AI drug discovery partnership announcements from Sanofi.
A key question in a number of court cases is whether a speaker on an audio recording is a particular known speaker, for example, whether a speaker on a recording of an intercepted telephone call is the defendant.
Artificial intelligence has long been a hot topic: a computer algorithm "learns" by being taught by examples: What is "right" and what is "wrong." Unlike a computer algorithm, the human brain works with neurons—cells of the brain. These are trained and pass on signals to other neurons.
In the second season of BBC mystery thriller The Capture, deepfakes threaten the future of democracy and UK national security. In a dystopia set in present day London, hackers use AI to insert these highly realistic false images and videos of people into live news broadcasts to destroy the careers of politicians.