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A group of artificial intelligence researchers from the University of Science and Technology of China (USTC) and Tencent YouTu Lab have developed an innovative framework, coined as “Woodpecker”, designed to correct hallucinations in multimodal large language models (MLLMs).
The research paper outlining this groundbreaking approach was published on the pre-print server arXiv, under the title Woodpecker: Hallucination Correction for Multimodal Large Language Models.
Intricate details within the human brain, faint signals in outer space, say cheese!
Researchers at the National Institute of Standards and Technology (NIST) and their collaborators revealed the creation of a superconducting camera in a statement.
Boasting an impressive 400,000 pixels, this innovative leap represents a four-hundred-fold increase in pixel count compared to any other device of its kind, revolutionizing the way scientists can capture faint light signals from the far reaches of space or explore intricate details within the human brain.
Summary: Researchers have created a groundbreaking non-contact technology to simulate cold sensations in virtual reality, maintaining consistent skin temperatures.
By combining cold airflow and light, they induce cold sensations without actual temperature shifts. This breakthrough provides a novel approach to simulating persistent thermal experiences in VR environments, enhancing the user’s immersion.
The technology holds the promise of revolutionizing VR experiences by providing instantaneous and sustained thermal sensations.
A new method of producing an ultra-bright light which breaks traditional laws of particle physics could potentially spark a technological revolution.
The ultra-bright light, a form of ‘coherent light’, is created by particles moving in synchrony rather than independently. This synchrony creates incredibly fast, intense pulses that operate on a scale of atto-seconds – or one thousandth of a millionth of a billionth of a second.
While machines that can currently create ultra-bright light are miles long, scientists have now produced plans for a light source that can fit into a single room. The discovery could create a “mini-societal, technological and scientific revolution”, the researchers behind the development told BBC Science Focus.
The team estimates that their hardware can outperform the best electronic processors by a factor of 100 in terms of energy efficiency and compute density.
A team of scientists from Oxford University and their partners from Germany and the UK have developed a new kind of AI hardware that uses light to process three-dimensional (3D) data. Based on integrated photonic-electronic chips, the hardware can perform complex calculations in parallel using different wavelengths and radio frequencies of light. The team claims their hardware can boost the data processing speed and efficiency for AI tasks by several orders of magnitude.
AI computing and processing power
The research published today in the journal Nature Photonics addresses the challenge of meeting modern AI applications’ increasing demand for computing power. The conventional computer chips, which rely on electronics, need help to keep up with the pace of AI innovation, which requires doubling the processing power every 3.5 months. The team says that using light instead of electronics offers a new way of computing that can overcome this bottleneck.
NVIDIA, which is well known for its GPUs that made possible the training of ChatGPT, has also been working on its development platform, Omniverse, for building 3D tools and applications. Earlier this year, the company unveiled its Voyager AI agent that could build tools 15 times faster than other AI agents in Minecraft.
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NASA recently built and tested an additively-manufactured – or 3D printed – rocket engine nozzle made of aluminum, making it lighter than conventional nozzles and setting the course for deep space flights that can carry more payloads.
Engineers at Aalto University have developed an improved method for long-distance wireless charging. By enhancing the interaction between transmitting and receiving antennas and leveraging the “radiation suppression” phenomenon, they’ve deepened our theoretical understanding of wireless power transfer beyond the traditional inductive methods, a significant advancement in the field.
Charging over short distances, such as through induction pads, uses magnetic near fields to transfer power with high efficiency, but at longer distances the efficiency dramatically drops. New research shows that this high efficiency can be sustained over long distances by suppressing the radiation resistance of the loop antennas that are sending and receiving power.
Join us as we delve into the fascinating world of collective intelligence, programmable biology, and the future of learning with renowned TED speaker and Harvard’s Wyss Institute Associate Faculty, Michael Levin. As the director of the Allen Discovery Center at Tufts University and co-director of the Institute for Computer-Designed Organisms, Levin stands at the forefront of biological research and innovation.
In this enlightening interview, we explore the potentials and pitfalls of rewriting our DNA to gain superhuman abilities – imagine being able to breathe underwater or see in infrared! We also address the nuances of academic publishing and the urgent need for more collaborative approaches within scientific disciplines.
This discussion is part of our ongoing series to understand and develop methodologies for collective and collaborative intelligence. The goal? To design more efficient and inclusive collaborative learning networks through our innovative methodology, Unify.
Tune in to learn more about the transformative power of biology, the future of academic collaboration, and the exciting potential of our Unify methodology. Whether you’re a biologist, an educator, a futurist, or simply curious about the potential of human biology, you won’t want to miss this interview.
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