All posts by Artificial Intelligence News -- ScienceDaily

Biologists and chemists have a new programming language to uncover previously unknown environmental pollutants at breakneck speed -- without requiring them to code.

AI is advancing at such speed that speculative moral questions, once the province of science fiction, are suddenly real and pressing, says a philosopher and psychology researcher Frank Martela. Martela's latest study finds that generative AI meets all three of the philosophical conditions of free will -- the ability to have goal-directed agency, make genuine choices and to have control over its actions. This development brings us to a critical point in human history, as we give AI more power and freedom, potentially in life or death situations.

Engineers developed a ping-pong-playing robot that quickly estimates the speed and trajectory of an incoming ball and precisely hits it to a desired location on the table.

An edible robot leverages a combination of biodegradable fuel and surface tension to zip around the water's surface, creating a safe -- and nutritious -- alternative to environmental monitoring devices made from artificial polymers and electronics.

As fast fashion continues to fill wardrobes and landfills at a staggering pace, new research suggests that the future of fashion might lie not in fabric, but in pixels.

Researchers have developed a new protocol for characterizing quantum gate errors, paving the way toward more reliable quantum simulations and fault-tolerant quantum computing.

Computer scientists have developed a new AI text-to-video model that learns real-world physics knowledge from time-lapse videos.

Researchers have created a method that makes virtual reality (VR) more accessible to people with mobility limitations.

Researchers developed a framework to enable decentralized artificial intelligence-based building automation with a focus on privacy. The system enables AI-powered devices like cameras and interfaces to cooperate directly, using a new form of device-to-device communication. In doing so, it eliminates the need for central servers and thus the need for centralized data retention, often seen as a potential security weak point and risk to private data.

Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health care.

While exploring a digitally represented object through artificially created sense of touch, brain-computer interface users described the warm fur of a purring cat, the smooth rigid surface of a door key and cool roundness of an apple.

Researchers demonstrated extremely strong nonlinear light-matter coupling in a quantum circuit. Stronger coupling enables faster quantum readout and operations, ultimately improving the accuracy of quantum operations.

An AI tool has made a step forward in translating the language proteins use to dictate whether they form sticky clumps similar to those linked to Alzheimer's Disease and around fifty other types of human disease. In a departure from typical 'black-box' AI models, the new tool, CANYA, was designed to be able to explain its decisions, revealing the specific chemical patterns that drive or prevent harmful protein folding.

Large language models (LLMs) are at the forefront of artificial intelligence (AI) and have been widely used for conversational interactions. However, assessing the personality of a given LLM remains a significant challenge. A research team has now developed an AI-driven assessment system, the Language Model Linguistic Personality Assessment (LMLPA), with capabilities to quantitatively measure the personality traits of LLMs through linguistic analysis.

Many products in the modern world are in some way fabricated using computer numerical control (CNC) machines, which use computers to automate machine operations in manufacturing. While simple in concept, the ways to instruct these machines is in reality often complex. A team of researchers has devised a system to demonstrate how to mitigate some of this complexity.