artificial intelligence

The viral language-model artificial intelligence app recently released by OpenAI holds great promise and frightening potential, says Tinglong Dai, an AI expert at the Johns Hopkins Carey Business School
A remarkably powerful AI Chatbot: The promise and peril of ChatGPT
The viral language-model artificial intelligence app recently released by OpenAI holds great promise and frightening
Graphics of the generative-replay setup (top left panel) and scheme for training artificial neural network (ANN) with generative replay (top right panel). The normalised electrical current accuracy for the conventional (bottom left panel) and brain-inspired replay (BIR) models (bottom right panel). CREDIT SUTD
A serious new strategy to teach computers to learn continually like humans – unassisted
Graphics of the generative-replay setup (top left panel) and scheme for training artificial neural network
MIT engineers have created a reconfigurable AI chip that comprises alternating layers of sensing and processing elements that can communicate with each other. Credit: Figure courtesy of the researchers and edited by MIT News
A LEGO-like artificial intelligence chip that is is stackable and reconfigurable for upgrades and features
MIT engineers have created a reconfigurable AI chip that comprises alternating layers of sensing and
Participants rated from 1 to 5 stars the ethical decision of either a human or an AI driver. (Image courtesy of Johann Caro-Burnett, Hiroshima University)
Is society really ready for artificial intelligence ethical decision making?
Participants rated from 1 to 5 stars the ethical decision of either a human or
Who gets the patent when a machine invents things for humanity?
via University of New South Wales Who gets the patent when a machine invents things
Neuromorphic memory device consisting of bottom volatile and top nonvolatile memory layers emulating neuronal and synaptic properties, respectively. CREDIT KAIST
Neuromorphic computing designed to rigorously mimic the human brain with semiconductor devices
Neuromorphic memory device consisting of bottom volatile and top nonvolatile memory layers emulating neuronal and
Making traffic jams a distant memory with new AI traffic lights
via Aston University Making traffic jams a distant memory with new AI traffic lights New
It is possible to perform artificial intelligence using tiny nanomagnets that interact like neurons in the brain
via Imperial College London It is possible to perform artificial intelligence using tiny nanomagnets that
An AI project models first impressions based on facial features and can accurately predict how people will be perceived
via Stevens Institute of Technology An AI project models first impressions based on facial features
Distinguishing COVID-19 infection through image learning of chest X-rays CREDIT Korea Institute of Science and Technology
Mimicing the information processing mechanism of the human nervous system with artificial sensory neurons
Distinguishing COVID-19 infection through image learning of chest X-rays CREDIT: Korea Institute of Science and
Multimodal sentiment analysis combining language, audio, visual, and physiological signals. The multimodal neural network is used to predict user sentiment from multimodal features such as text, audio, and visual data. In a new study, researchers from Japan account for physiological signals in sentiment estimation while talking with the system, greatly improving the system's performance. Image courtesy: Shogo Okada from JAIST
Enabling emotionally intelligent artificial intelligence systems
Multimodal sentiment analysis combining language, audio, visual, and physiological signals. The multimodal neural network is
At the intersection of engineered materials and computation, spin-glass systems comprise a disordered system of nanomagnets arising from random interactions and competition between two types of magnetic order in the material. Credit: Jenna Maria Rantala, Aalto University
A new paradigm in artificial intelligence?
At the intersection of engineered materials and computation, spin-glass systems comprise a disordered system of
“Humans and machine algorithms have complementary strengths and weaknesses,” says study co-author Mark Steyvers (right), UCI professor of cognitive sciences, here with fellow co-author Padhraic Smyth, UCI Chancellor’s Professor of computer science. “Each uses different sources of information and strategies to make predictions and decisions.” Steve Zylius / UCI
New and improved approaches to human-AI collaboration by combining machine and human predictions
“Humans and machine algorithms have complementary strengths and weaknesses,” says study co-author Mark Steyvers (right),
Enabling artificial intelligence to learn more continuously like the human brain does
An electronic chip that can be reprogrammed on demand may enable artificial intelligence to learn
The commonsense challenge for AI
via University of Warwick The commonsense challenge for AI Reasoning and creativity challenge the USC