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RCE flaw in ImunifyAV puts millions of Linux-hosted sites at risk

The ImunifyAV malware scanner for Linux servers, used by tens of millions of websites, is vulnerable to a remote code execution vulnerability that could be exploited to compromise the hosting environment.

The issue affects versions of the AI-bolit malware scanning component prior to 32.7.4.0. The component is present in the Imunify360 suite, the paid ImunifyAV+, and in ImunifyAV, the free version of the malware scanner.

According to security firm Patchstack, the vulnerability has been known since late October, when ImunifyAV’s vendor, CloudLinux, released fixes. Currently, the flaw has not been assigned an identifier.

Sutskever’s List

“If you really learn all of these, you’ll know 90% of what matters today.” – Ilya Sutskever.

AI is transforming the world faster than we could have imagined. But how did we get here? AI guru Ilya Sutskever made the bold claim that most of what you need to know about modern AI is captured in 30 seminal research papers on deep learning.

What did Ilya see? Read through Sutskever’s List and you’ll uncover the breakthroughs, ideas, and mental models that shaped his vision and much more, all clearly explained and interpreted by veteran author and teacher Richard Heimann.

Elements in Research Methods in Education

Join us, Dr Sal Consoli (University of Edinburgh) and Dr Samantha Curle (University of Bath) for a dynamic 60-minute webinar celebrating the inaugural volume in the series Elements in Research Methods in Education series.

We will interview the author of How to Use Generative AI in Educational Research — Dr Jasper Roe, to explore why he chose this specific topic, the writing process behind this book, and how he hopes it will influence educational researchers and practitioners.

Then we’ll open the floor to attendees interested in contributing to the series. We will provide a unique opportunity to ask questions about the commissioning process, editorial expectations, and how to develop a successful proposal.

Novel smart fabrics give robots a delicate grip

Robots aren’t always the most delicate of machines when handling fragile objects. They don’t have the lightness of touch of humans. But that could be about to change thanks to a new development in smart materials.

Researchers have developed a method for weaving flexible fibers that can be controlled by magnetic fields. Not only can this be used for robot hands to pick up objects like soft fruits, and worms, but it can also be used in a range of other applications. These include gloves that provide a realistic touch in and breathable fabrics.

Terrence Deacon — Philosophy of Transhumanism & Artificial Intelligence (AI)

Artificial intelligence and transhumanism.


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Humanity’s future is now framed by artificial intelligence (AI) and increasing interventions in the human body to cure and to enhance, i.e., transhumanism. Considering the stakes and the dangers, a philosophical perspective is imperative.

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Terrence William Deacon is an American neuroanthropologist. He taught at Harvard for eight years, relocated to Boston University in 1992, and is currently Professor of Anthropology and member of the Cognitive Science Faculty at the University of California, Berkeley.

Humans have ability to detect objects without touching them

In terms of objects, human touch has typically been understood to be limited to physical touch, where we detect objects through contact with our skin.

However, recent findings in animal have challenged this view. It is known that certain wading birds such as sandpipers and plovers, for example, use a form of ‘remote touch’ to detect prey hidden beneath the sand using their beaks.

Remote touch allows the detection of objects buried under granular materials, such as sand or soil, through subtle mechanical signals transmitted through the material when pressure is applied nearby.

The new study, published in IEEE International Conference on Development and Learning (ICDL), investigated whether humans share a similar capability to touch objects remotely.

The researchers asked 12 participants to move their fingers gently through sand to locate a hidden cube before physically touching it.

Remarkably, the results revealed a comparable ability to that seen in wading birds, despite humans lacking the specialised beak structures that enable this sense in birds.

By modelling the physical aspects of the remote touch phenomenon, the study found that human hands are remarkably sensitive, detecting the presence of buried objects by perceiving small displacements in the sand surrounding them with 70% precision within the expected detectable range.

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