Professionals in agriculture, defense and security, environmental monitoring, food quality analysis, industrial quality control, and medical diagnostics could benefit from a patent-pending innovation that opens new possibilities of conventional photography for optical spectroscopy and hyperspectral imaging.
By challenging AI chatbots to judge thousands of moral dilemmas posted in a popular Reddit forum, UC Berkeley researchers revealed that each platform appears to follow its own set of ethics.
Growing up, we learn to push just hard enough to move a box and to avoid touching a hot pan with our bare hands. Now, a robot hand has been developed that also has these instincts.
Quantum computers are a key emerging technology, particularly for specific kinds of problems that require enormous computing power. However, integrating quantum systems into existing supercomputers poses a challenge.
New research has found similarities in how humans and artificial intelligence integrate two types of learning, offering new insights about how people learn as well as how to develop more intuitive AI tools.
A new system developed by Cornell Tech researchers helps users detect when their online accounts have been compromised—without exposing their personal devices to invasive tracking by web services.
In the 17th century, German astronomer Johannes Kepler figured out the laws of motion that made it possible to accurately predict where our solar system's planets would appear in the sky as they orbit the sun. But it wasn't until decades later, when Isaac Newton formulated the universal laws of gravitation, that the underlying principles were understood.
A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial intelligence models—without needing access to the original training data.
The work of University of Tartu intersectoral doctoral researcher Eduardo Brito could reshape how we verify truth in the digital world. His research on a decentralized Proof-of-Location system, recently published in Scientific Reports, offers a new way to cryptographically prove where and when something happened, without compromising privacy or relying on centralized authorities.
Accurately estimating human pose was among the first tasks addressed by deep learning. Early models like OpenPose focused on localizing human joints as 2D keypoints in image coordinates. Later, Google came up with Mediapipe, followed by YOLOpose, which gained major attention and is widely adopted due to its efficiency and accuracy.
A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk.
Yiming Zhang didn't grow up playing chess. Like many other people, the Carnegie Mellon University Ph.D. student discovered the Netflix series "The Queen's Gambit" during the pandemic and began playing online. However, he quickly realized how unnatural it felt playing against chess bots.
Altruism, the tendency to behave in ways that benefit others even if it comes at a cost to oneself, is a valuable human quality that can facilitate cooperation with others and promote meaningful social relationships. Behavioral scientists have been studying human altruism for decades, typically using tasks or games rooted in economics.
Over the past decades, computer scientists have developed many computational tools that can analyze and interpret images. These tools have proved useful for a broad range of applications, including robotics, autonomous driving, health care, manufacturing and even entertainment.
Blockchain technologies are digital systems that work by distributing copies of information across several computers, also referred to as nodes, all of which are connected to a common network. These technologies underpin the trading of cryptocurrencies, as well as the functioning of other emerging digital services.
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