Can machine learning be used to uncover the secrets of the quark-gluon plasma? Yes — but only with sophisticated new methods. It could hardly be more complicated: tiny particles whir around wildly with extremely high energy, countless interactions oc
The more social behaviors a voice-user interface exhibits, the more likely people are to trust it, engage with it, and consider it to be competent. A family gathers around their kitchen island to unbox the digital assistant they just purchased. They
Computers could mimic neural networks in the brain -- and be much more energy efficient -- with a new computer component that mimics how the brain works by acting like a synaptic cell. It's called an electrochemical random access memory (ECRAM), and researchers have developed materials that offer a commercially-viable way to build these components.
Herman Narula, CEO of Improbable, is trying to solve the networking problem of the metaverse, like putting 10,000 people in one space.
In the metaverse, AI agents that look and act like any other users will target us on behalf of paying advertisers.
Neural networks are sometimes called black boxes because, despite the fact that they can outperform humans on certain tasks, even the researchers who design them often don't understand how or why they work so well. But if a neural network is used outside the lab, perhaps to classify medical images that could help diagnose heart conditions, knowing how the model works helps researchers predict how it will behave in practice.
The announcement comes as more enterprises are looking to AI-driven customer support to offer a compelling customer experience.
Soft machines—a subcategory of robotics that uses deformable materials instead of rigid links—are an emerging technology commonly used in wearable robotics and biomimetics (e.g., prosthetic limbs). Soft robots offer remarkable flexibility, outstanding adaptability, and evenly distributed force, providing safer human-machine interactions than conventional hard and stiff robots.
The human brain is finely tuned not only to recognize particular sounds, but also to determine which direction they came from. By comparing differences in sounds that reach the right and left ear, the brain can estimate the location of a barking dog, wailing fire engine, or approaching car.
OpenAI claims to have created language models that are less toxic using a technique known as reinforcement learning.
Edge AI devices, systems that combine artificial intelligence (AI) and edge computing techniques, are becoming an essential part of the rapidly growing Internet of Things (IoT) ecosystem. These devices include smart speakers, smart phones, robots, self-driven cars, drones and data-processing surveillance cameras.
SuperOps.ai operates at the intersection between professional services automation and remote monitoring management.
Vanti Analytics, a startup developing an AI model management platform for manufacturers , has raised $16 million in venture capital.
Chipmaker signs agreement with Indonesia's Ministry of Education, Culture, Research, and Technology to develop curriculum and train 20,000 local university students in artificial intelligence.
Intel reported that its fourth-quarter revenues and profits were above expectations, but the stock slipped slightly in after-hours trading.
You may not be able to teach an old dog new tricks, but Cornell researchers have found a way to train physical systems, ranging from computer speakers and lasers to simple electronic circuits, to perform machine-learning computations, such as identifying handwritten numbers and spoken vowel sounds.
Kim Libreri, the chief technology officer of Epic Games, talks with Dean Takahashi about how real the metaverse will really look.
It is not hard for humans to recognize an indoor environment, but teaching an artificial intelligence (AI) system to distinguish an office from a library is. AI systems are usually trained to use images only, and recognizing a space just by looking at objects can easily go wrong.