Cheap Android TV boxes like H96 may contain hidden malware that performs ad fraud and turns home Wi-Fi into a residential proxy network, Bitsight researchers say.

These'Masturbation Consultants' Were Hired to Pleasure Themselves With AI Joi AI hired 10 people to masturbate using AI companions as part of a monthlong "wellness" study. The company claims the practice could help "solve male loneliness." For 28 days, Keshav had a new item on his daily to-do list: masturbate for research purposes. Both before and after self-pleasuring, he logged his mood, energy levels, cravings for various vices, and whether he was procrastinating. Keshav was taking part in AI companion company Joi AI's experiment assessing what happens if erotic self-stimulation becomes "an AI-guided wellness ritual."

"Who's Ahead, Who's Behind, and Where We Are Headed Next in the U.S.-China Technology Competition?" [5] D. J. Hicks and R. Simmons, "The National Robotics Initiative: A Five-Year Retrospective," in IEEE Robotics & Automation Magazine, vol.

Researchers say it took fewer than 20 prompts for a public AI tool to find a flaw (now fixed) allowing anyone on a Zoom call to hijack another participants' device. As AI models gain advanced capabilities to find vulnerabilities in software, develop ways to exploit them, and even carry out autonomous hacking sprees, researchers offered a sobering new example on Tuesday, disclosing vulnerabilities in the video conferencing platform Zoom that could have been exploited to take over targets' devices. Anyone on a call that involved screen sharing, whether participants or the host, would have been vulnerable to a silent attack that could be carried out with no indication and no interaction from the victim. Researchers from the digital defense firm A Security say the bug was discovered in early June using publicly available AI models, and that it took fewer than 20 prompts to uncover the vulnerabilities and create a working attack. Zoom issued a security advisory on Tuesday, including details about fixes the company has already begun rolling out to address the flaws, which affected devices running all operating systems that Zoom supports--Windows, macOS, Linux, iOS, and Android.

Recent findings provide one of the most detailed pictures to date of the genetic architecture of schizophrenia, opening up new avenues for research into the disorder. One of the greatest challenges in modern genetics is schizophrenia . Unlike diseases caused by a single mutation, this disorder appears to arise from a combination of hundreds of genetic variants, each with small effects on different brain processes. Some influence neural development, while others alter communication between neurons or the organization of brain connections. Together, they contribute to the risk of developing the disease.

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Robots walking down the street, surrounded by astounded onlookers, is an increasingly common sight. But these machines aren't yet the do-it-all assistants you'd want working in a kitchen or factory, and a major bottleneck is data. Much like humans, robots learn best by experience. The challenge is that it's labor-intensive and time-consuming to physically teach these machines so many actions across different settings. "One natural idea is to use simulation as a training ground. While there has been significant progress over the last few years in the physics engines that power robotics simulators, one of the remaining challenges has been creating sufficiently rich and diverse simulation content to capture the complexity of the real world," says Russ Tedrake, the Toyota Professor of Electrical Engineering and Computer Science (EECS), Aeronautics and Astronautics, and Mechanical Engineering at MIT, and a principal investigator at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL).

Researchers at the University of Leeds and collaborators from the University of California San Diego won the Best Paper Award at RoboSoft, the leading international conference focused on soft robotics research. Soft robotics is gaining attention in medical applications because compliant machines can interact more safely with delicate objects and complex anatomy. The award-winning paper describes a 1.8 mm soft growing robot that can be steered magnetically, sense its own shape in real time, and operate without internal pressure. These advances could help improve patient outcomes following minimally invasive procedures. We spoke with lead author Benjamin Calmé about the team's work.

UNSW researchers have developed a soft robotic model of the human heart that can mimic disease and provide a realistic environment for testing the next generation of cardiac devices. Researchers at UNSW Sydney have developed a fully synthetic soft robotic heart that reproduces the complex movements and internal structures of the human heart, opening the door to better treatments, safer medical devices and more personalised care. Published in Nature Communications and Advanced Science, the research introduces a beating model of the left side of the heart that includes artificial valves, papillary muscles and chordae tendineae - structures that are critical to healthy heart function and are frequently affected by disease. The device is able to accurately reproduce the process in a real heart where cardiac valves leak and blood flows backwards, which increases the risk of heart failure and other life-threatening complications. In that way, the research team say the new soft robot can eventually help provide a better understanding of heart conditions, reduce reliance on animal testing and provide doctors with patient-specific models to plan treatments before procedures are performed.

Scientists are expected to read newly published papers in their field to stay current and keep their work relevant. However, when faced with the massive number of publications, it may seem an overwhelming task to read all these papers, even if one were to reduce this to only a fraction related to one's own area of research. As an example, in 2024 alone, IEEE published no less than 46,968 papers on "robotics" or "automation", and IEEE publications represent only a fraction of the total research available online To assess the magnitude of this challenge, as well as to evaluate how much genuine progress is reported in today's publications, we undertook exactly this effort. For the task to be reasonable, we reduced our search to one particular subarea, learning from demonstration (LfD), that is methods whereby robots are taught by human experts. We monitor progress through both quantitative and qualitative metrics, offering a review on current trends and notable contributions.