A new article examines the convergence of physics, chemistry, and AI, highlighted by recent Nobel Prizes. It traces the historical development of neural networks, emphasizing the role of interdisciplinary research in advancing AI. The authors advocate for nurturing AI-enabled polymaths to bridge the gap between theoretical advancements and practical applications, driving progress toward artificial general intelligence.
Physical reservoir computing (PRC) utilizing synaptic devices shows significant promise for edge AI. Researchers from the Tokyo University of Science have introduced a novel self-powered dye-sensitized solar cell-based device that mimics human synaptic behavior for efficient edge AI processing, inspired by the eye's afterimage phenomenon. The device has light intensity-controllable time constants, helping it achieve high performance during time-series data processing and motion recognition tasks. This work is a major step toward multiple time-scale PRC.
Researchers study the importance of enunciation when using speech-to-text software in medical situations.
Trust between humans and robots is improved when the movement between both is harmonized, researchers have discovered.
In order to use remote locations to record and assess the behavior of wildlife and environmental conditions, the GAIA Initiative developed an artificial intelligence (AI) algorithm that reliably and automatically classifies behaviors of white-backed vultures using animal tag data. As scavengers, vultures always look for the next carcass. With the help of tagged animals and a second AI algorithm, the scientists can now automatically locate carcasses across vast landscapes.
Quantum-science advances using AI can measure very small surfaces and distances -- opening a world of medical, manufacturing and other applications.
Researchers have developed a robot that identifies different plant species at various stages of growth by 'touching' their leaves with an electrode. The robot can measure properties such as surface texture and water content that cannot be determined using existing visual approaches. The robot identified ten different plant species with an average accuracy of 97.7% and identified leaves of the flowering bauhinia plant with 100% accuracy at various growth stages.
Linguistics and computer science researchers have discovered some of the root causes of why AI large language models perform poorly in human-like conversations.
Scientists have created a robot that can learn tasks like cleaning a washbasin just by watching humans. A special sponge with sensors is used to show the robot how to clean. Using an advanced machine learning system, the robot learns how it is supposed to behave and can apply this knowledge to cleaning different washbasins.
Researchers have developed AI-driven mobile robots that can carry out chemical synthesis research with extraordinary efficiency. Researchers show how mobile robots that use AI logic to make decisions were able to perform exploratory chemistry research tasks to the same level as humans, but much faster.
Today, a research team has proposed a new reinforcement learning framework with autonomous drones to find sperm whales and predict where they will surface.
The advanced drug testing system screens multiple potential therapies simultaneously in beating heart cells.
Inspired by large language models, researchers developed a training technique that pools diverse data to teach robots new skills.
Researchers develop an AI-driven video analyzer capable of detecting human actions in video footage with precision and intelligence.
In a new study, humans displayed sympathy towards and protected AI bots who were excluded from playtime.