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Category: robotics/AI – Page 18

Liquid-metal pupil helps an artificial eye adapt to sudden light changes

Computer vision technologies are artificial intelligence (AI)-powered systems that can capture, analyze, and interpret visual data captured from real-world environments. While these systems are now widely used, many of them perform poorly under some lighting conditions and when the light in captured scenes changes abruptly.

Researchers at University of North Carolina at Chapel Hill, Westlake University and other institutes have developed a new artificial eye that draws inspiration from the eyes of humans, cats and other animals. This artificial eye, introduced in a paper published in Science Robotics, could be used to advance the sensing capabilities of robots, advanced security systems and autonomous vehicles.

“Our project grew from a simple problem: traditional machine vision systems (like the cameras deployed in self-driving cars or robots) struggle with extreme light changes, such as changes from pitch black to bright sunlight,” Dr. Kun Liang, first author of the paper, told Tech Xplore.

Transparent Tribe Uses AI to Mass-Produce Malware Implants in Campaign Targeting India

The Pakistan-aligned threat actor known as Transparent Tribe has become the latest hacking group to embrace artificial intelligence (AI)-powered coding tools to strike targets with various implants.

The activity is designed to produce a “high-volume, mediocre mass of implants” that are developed using lesser-known programming languages like Nim, Zig, and Crystal and rely on trusted services like Slack, Discord, Supabase, and Google Sheets to fly under the radar, according to new findings from Bitdefender.

“Rather than a breakthrough in technical sophistication, we are seeing a transition toward AI-assisted malware industrialization that allows the actor to flood target environments with disposable, polyglot binaries,” security researchers Radu Tudorica, Adrian Schipor, Victor Vrabie, Marius Baciu, and Martin Zugec said in a technical breakdown of the campaign.

Will self-driving ‘robot labs’ replace biologists? Paper sparks debate

I’d certainly like to see more experiments automated, yet I wonder if widespread automation would result in less resources directed to novel experimental designs (or new tools) that fall outside of automated workflows. Hopefully a balance can be attained!

AI-driven autonomous robots are coming to biology laboratories, but researchers insist that human skills remain essential.

MultiGen: Level-Design for Editable Multiplayer Worlds in Diffusion Game Engines

Think of a video game that doesn’t just run on code, but is “dreamed up” in real-time by an AI—much like how AI generates videos or images today. While this technology (known as a Diffusion Game Engine) is incredibly exciting, it has long faced two major hurdles: you couldn’t easily “edit” the world once it was generated, and you couldn’t play in that world with friends because the AI couldn’t keep the environment consistent for everyone at once.

Traditional AI game engines work like “next-frame predictors.” They look at what’s happening right now and guess what the very next split-second should look like. Because they have a short memory (a “context window”), the world often feels like a shifting dream—turn around, and the door you just walked through might have disappeared or changed color. This makes it impossible to design a specific “level” or play with others, as the AI can’t keep a steady map in its head.

Why organisms are more than machines

We are living in the age of maximum AI hype: A superintelligence that surpasses humanity is going to emerge at any moment, according to the most breathless corners of the tech world.

There are basic technical grounds to be skeptical of that claim, but beyond that, a much deeper issue lies at the boundary between science and philosophy: What makes life different from non-life? Why is a rock inert and insensate, while even the simplest cell manifests open-ended activity in the relentless pursuit of staying alive? Since the only systems that indisputably display intelligence are alive, if we can’t understand life, we’re probably missing something essential about intelligence.

Sixty years ago, an influential but little-known philosopher named Hans Jonas gave a potent, creative, and radical answer to this question of what makes life different from non-life. In the decades since, the power and reach of his perspective have gained traction. Today, for a growing group of researchers — in fields ranging from neuroscience to the physics of complex systems — Jonas has become an incisive voice arguing forcefully that organisms are more than just machines, and minds are more than just computers.

Persistent Sex Disparities in Pre‐Hospital Delay Among Patients With STEMI Despite Overall Improvements: Findings From the Chinese Cardiovascular Association Chest Pain Center Registry

Despite overall improvements, women with STEMI in China still face longer pre-hospital delays than men, especially in rural areas. The gap is driven mostly by delayed EMS calls. Cardiology.

HealthEquity STEMI

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Microsoft becomes first company to say it is not ‘abandoning’ Anthropic; company says: Our lawyers have studied that …

The TOI Tech Desk is a dedicated team of journalists committed to delivering the latest and most relevant news from the world of technology to readers of The Times of India. TOI Tech Desk’s news coverage spans a wide spectrum across gadget launches, gadget reviews, trends, in-depth analysis, exclusive reports and breaking stories that impact technology and the digital universe. Be it how-tos or the latest happenings in AI, cybersecurity, personal gadgets, platforms like WhatsApp, Instagram, Facebook and more; TOI Tech Desk brings the news with accuracy and authenticity.

Progression Independent of Relapse Activity in Aquaporin-4-IgG–Positive NMOSDA Decade-Long Cohort Study

This study assessed the frequency of PIRA in a well-characterized cohort of patients with AQP4-IgG–positive NMOSD with over a decade of follow-up.

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Humanoid robots master parkour and acquire human-like agility

Humanoid robots, robotic systems with a human-like body structure, have the potential of tackling various real-world tasks that are currently being completed by humans. In recent years, many robotics researchers and computer scientists have been trying to broaden these robots’ capabilities and improve how they move in their surroundings.

A research team at Amazon Frontier AI & Robotics (FAR) and University of California Berkeley (UC Berkeley) recently introduced perceptive humanoid parkour (PHP), a framework that could allow humanoid robots to move with remarkable agility, running, jumping and climbing over obstacles in urban or natural environments. Their proposed approach, outlined in a paper published on the arXiv preprint server, entails training computational models on recordings of humans engaging in parkour, a popular urban sport that allows practitioners to rapidly navigate environments using their agility and body strength.

“While recent advances in humanoid locomotion have achieved stable walking on varied terrains, capturing the agility and adaptivity of highly dynamic human motions remains an open challenge,” wrote Zhen Wu, Xiaoyu Huang and their colleagues in their paper.

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