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Category: robotics/AI – Page 5

Benchmarking framework reveals major safety risks of using AI in lab experiments

While artificial intelligence (AI) models have proved useful in some areas of science, like predicting 3D protein structures, a new study shows that it should not yet be trusted in many lab experiments. The study, published in Nature Machine Intelligence, revealed that all of the large-language models (LLMs) and vision-language models (VLMs) tested fell short on lab safety knowledge. Overtrusting these AI models for help in lab experiments can put researchers at risk.

LabSafety Bench for AI use in labs

The research team involved in the new study initially sought to answer whether LLMs can effectively identify potential hazards, accurately assess risks and make reliable decisions to mitigate laboratory safety threats. To help answer these questions, the team developed a benchmarking framework, called “LabSafety Bench.”

Year 2100: Future Technologies that Will Rule the World

The androids of the future will be the distant results of synthetic biology and not silicon.

🚀 Step into a world of boundless innovation as we take you on a journey through the awe-inspiring technologies that await humanity in the 22nd century! 🌌 From advancements in space exploration to mind-boggling leaps in artificial intelligence, this captivating video offers a glimpse into the cutting-edge breakthroughs that will redefine the very fabric of human existence.

🌐 Witness the birth of extraterrestrial civilizations as humans venture further into space, exploring distant planets and establishing self-sustaining colonies. Experience the seamless integration of artificial intelligence into our daily lives, transforming how we interact with technology and creating new possibilities for societal progress. Prepare to be amazed by quantum computing’s extraordinary power, revolutionizing problem-solving and opening doors to scientific discoveries previously deemed impossible.

🌿 Delve into the world of sustainable marvels, where eco-friendly innovations mend our relationship with the environment and pave the way for a greener, more harmonious future. Explore the ethical implications of biotechnology advancements, which offer insights into longevity and human potential. This video paints an inspiring picture of the limitless possibilities and profound transformations that lie ahead in the remarkable world of 22nd-century technologies. Like, share, and subscribe to our channel for more captivating glimpses of the ever-evolving world of tomorrow. 🌟🔮🌠 #FutureTechnologies #22ndCenturyInnovations #EmbracingTomorrow

How AI and Quantum, And Space Are Redefining Cybersecurity

Sharing my latest Forbes article: by Chuck Brooks.

Thanks for reading and sharing!

#cybersecurity #tech #ai #quantum #space Forbes

Artificial intelligence and quantum computing are no longer speculative technologies. They are reshaping cybersecurity, economic viability, and managing risk in real time.

Deep Learning in Otolaryngology: A Narrative Review

Deep learning models have achieved diagnostic accuracy rates up to 92% for nasopharyngeal carcinoma and over 95% for otologic pathology, matching expert performance in otolaryngology.

This review summarizes recent deep learning advances in otolaryngology, including diagnostic models with expert-level accuracy for nasopharyngeal carcinoma and otologic pathology.

This narrative review synthesizes recent deep-learning applications and proposes a framework for their integration into otolaryngology.

Machine learning can predict patients’ responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical sleeping and/or eating habits, a lack of motivation, a loss of interest in daily activities and unhelpful thought patterns.

There are now various treatments for depression, including psychotherapy-based interventions and different types of antidepressant medications. Identifying the best treatment strategy, however, is not always easy, and many patients try different medications before they find one that works for them.

Researchers at Stanford University, Lehigh University, the University of Texas at Austin and other institutes explored the potential of machine learning techniques, computational models that can identify patterns in data, for predicting the responses of individual patients to two different antidepressants and to a placebo (i.e., a pill that contains no active chemicals).

Soft robotic hand ‘sees’ around corners to achieve human-like touch

To reliably complete household chores, assemble products and tackle other manual tasks, robots should be able to adapt their manipulation strategies based on the objects they are working with, similarly to how humans leverage information they gain via the sense of touch. While humans attain tactile information via nerves in their skin and muscles, robots rely on sensors, devices that sense their surroundings and pick up specific physical signals.

Most robotic hands and grippers developed so far rely on visual-tactile sensors, systems that use small cameras to capture images, while also picking up surface deformations resulting from contact with specific objects.

A key limitation of these sensors is that they need to be made of stiff materials, to ensure that the cameras capture high-quality images. This reduces the overall flexibility of robots that rely on the sensors, making it harder for them to handle fragile and unevenly shaped objects.

About-UBTECH

Established in March 2012, UBTECH ROBOTICS CORP LTD is a leading humanoid robots and smart service robots company. On 29 December, 2023, we were listed on the main board of the Hong Kong Stock Exchange (stock code: 9880.HK), and have become the first humanoid robot company listed on Hong Kong Stock Exchange.

Dedicated to the mission of ‘bringing intelligent robots into every family, and making everyday life more convenient and intelligent’, we have developed a full stack of humanoid robotic technologies independently. Building on our full-stack technologies, UBTECH has engaged in the research and development, design, smart production, and commercialization of smart service robots, and has developed smart robotic solutions that integrate with hardware, software, service and contents. These solutions span various industries such as AI education, smart logistics, smart elderly care, business and consumer service.

UBTECH is among the few global leaders in full-stack humanoid robotics technologies. Our full-stack technologies are a holistic combination of industry-leading robotic technologies (robotic motion planning and control technology, and high performance servo actuators), our AI technologies (human-like brain function and cerebellum function), integrated robotic and AI technologies (SLAM and autonomous technology, visual servo operation and human-robot interaction), and Robot Operating System Application Framework (ROSA 2.0), our proprietary robotics application framework.

New class of strong magnets uses earth-abundant elements, avoids rare-earth metals

Georgetown University researchers have discovered a new class of strong magnets that do not rely on rare-earth or precious metals—a breakthrough that could significantly advance clean energy technologies and consumer electronics such as motors, robotics, MRI machines, data storage and smart phones.

A key figure of merit for a magnet is the ability of its magnetization to strongly prefer a specific direction, known as magnetic anisotropy, which is a cornerstone property for modern magnetic technologies.

Today, the strongest anisotropy materials for permanent magnets depend heavily on rare-earth elements, which are expensive, environmentally damaging to mine and vulnerable to supply-chain disruptions and geopolitical instability. For thin film applications, certain alloys of iron and platinum have become the materials of choice for next generation magnetic recording media, which contain precious metal platinum. Finding high-performance alternatives based on earth-abundant elements has therefore been a long-standing scientific and technological challenge.

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