science wire

Study: Training all-mechanical neural networks for task learning through in situ backpropagation (DOI:10.1038/s41467-024-54849-z) It's easy to think that machine learning is a completely digital phenomenon, made possible by computers and algorithms that can mimic brain-like behaviors. But the first machines were analog and now, a small but growing body of research is showing that mechanical systems are capable of learning, too.

Researchers develop "ContextCite," an innovative method to track AI's source attribution and detect potential misinformation. Chatbots can wear a lot of proverbial hats: dictionary, therapist, poet, all-knowing friend. The artificial intelligence models that power these systems appear exceptionally skilled and efficient at providing answers, clarifying concepts, and distilling information.

Airport aprons, large construction sites or open-air events are usually defenceless against lightning.

MIT engineers developed the largest open-source dataset of car designs, including their aerodynamics, that could speed design of eco-friendly cars and electric vehicles.

New open access software could be used by clinicians, physiotherapists, sports coaches and athletes to analyse body movements without motion capture suits.

Verena Zimmermann is convinced that it is too simplistic to view people solely as a risk factor in cyber security.

This new device uses light to perform the key operations of a deep neural network on a chip, opening the door to high-speed processors that can learn in real-time.

Most older adults prefer to age in their homes and stay active in their communities. For many, malnutrition will derail those plans due to involuntary weight loss, micronutrient deficiencies and frailty.

An interdisciplinary research team from the University of Waterloo is building systems that mimic the human brain to improve the power efficiency and performance of artificial neural networks like those used in autonomous vehicle (AV) technology.

Marzyeh Ghassemi works to ensure health-care models are trained to be robust and fair. Captivated as a child by video games and puzzles, Marzyeh Ghassemi was also fascinated at an early age in health.

The technique could make AI systems better at complex tasks that involve variability. Fields ranging from robotics to medicine to political science are attempting to train AI systems to make meaningful decisions of all kinds.

Clearing the dinner table is a task easy enough for a child to master, but it's a major challenge for robots. Robots are great at doing repetitive tasks but struggle when they must do something new or interact with the disorder and mess of the real world. Such tasks become especially challenging when they have many steps.

The Tree-D Fusion system integrates generative AI and genus-conditioned algorithms to create precise simulation-ready models of 600,000 existing urban trees across North America.

Recently, LinkedIn announced its Hiring Assistant , an artificial intelligence "agent" that performs the most repetitious parts of recruiters' jobs - including interacting with job candidates before and after interviews.

The coloured Cube has been around for 50 years. Its inventor, Erno Rubik, celebrated his 80th birthday this year.

The first engineers of the AI&ES master's program recently received their diplomas. The engineers know the ins and outs of AI and other data science solutions to help companies and institutions with their need for insights.

It's increasingly difficult to discern between content generated by humans and artificial intelligence. To help create more transparency around this issue and detect when AI-generated content is used maliciously, computer scientists are researching ways to label content created by large language models (LLMs).

Carnegie Mellon physicists use AI to analyze large datasets from experiments, predict complex physical phenomena and optimize simulations The long-standing interplay between artificial intelligence an

Taylor Kergan's research aims to use machine-learned models for diagnosis and exploration in brain research Taylor Kergan is helping make history at the Hotchkiss Brain Institute at the University of Calgary.

But it isn't the biggest and mathematicians' search for perfection will continue Euclid proved there are an infinite number of primes millennia ago.

Https://uw-s3-cdn.s3.us-west-2.amazonaws.com/wp-content/uploads/sites/6/2024/11/12100747/ShortRelease.mp4 Imagine this: You're at an office job, wearing noise-canceling headphones to dampen the ambient chatter. A co-worker arrives at your desk and asks a question, but rather than needing to remove the headphones and say, "What'", you hear the question clearly.

The social context and its complex interactions must be considered and public engagement must be encouraged.

A recent paper by researchers in Carnegie Mellon University's Human-Computer Interaction Institute introduces EgoTouch, a tool that uses artificial intelligence to control AR/VR interfaces by touching the skin with a finger.

MIT and IBM researchers are creating linkage mechanisms to innovate human-AI kinematic engineering. The process of computational design in mechanical engineering often begins with a problem or a goal, followed by an assessment of literature, resources, and systems available to address the issue.

Two quantum information theorists at the University of Sydney Nano Institute have solved a decades-old problem that will require fewer qubits to suppress more errors in quantum hardware.

Smarter use of processor speeds saves energy without compromising training speed and performance Study: Reducing energy bloat in large model training (DOI: 10.

A new design tool uses UV and RGB lights to change the color and textures of everyday objects. The system could enable surfaces to display dynamic patterns, such as health data and fashion designs.