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Category: robotics/AI – Page 955

Morphogenesis of self-assembling microelectronic modules could yield sustainable living technology

It is now apparent that the mass-produced artifacts of technology in our increasingly densely populated world—whether electronic devices, cars, batteries, phones, household appliances, or industrial robots—are increasingly at odds with the sustainable bounded ecosystems achieved by living organisms based on cells over millions of years.

Cells provide organisms with soft and sustainable environmental interactions with complete recycling of material components, except in a few notable cases like the creation of oxygen in the atmosphere, and of the fossil fuel reserves of oil and coal (as a result of missing biocatalysts).

However, the fantastic information content of biological cells (gigabits of information in DNA alone) and the complexities of protein biochemistry for metabolism seem to place a cellular approach well beyond the current capabilities of technology, and prevent the development of intrinsically sustainable technology.

AI Was Asked to Design a Walking Robot. It Came Up With This

When a group of researchers asked an AI to design a robot that could walk, it created a “small, squishy and misshapen” thing that walks by spasming when filled with air.

The researchers — affiliated with Northwestern University, MIT, and the University of Vermont — published their findings in an article for the Proceedings of the National Academy of Sciences on October 3.

“We told the AI that we wanted a robot that could walk across land. Then we simply pressed a button and presto!” Sam Kriegman, an assistant professor at Northwestern University and the lead researcher behind the study, wrote in a separate blog post.

A human-inspired robotic hand based on a modular structure

In recent years, roboticists have developed increasingly sophisticated robotic systems designed to mimic both the structure and function of the human body. This work includes robotic hands, grippers that allow robots to grasp objects and manipulate them like humans do while completing everyday tasks.

Ideally, robotic hands should be able to perform highly precise movements, while also being relatively affordable and easy to fabricate. However, most bio-inspired skeleton structures for robotic hands introduced so far have highly intricate designs containing numerous advanced components, which makes them difficult to fabricate on a large scale.

Researchers at Massachusetts Institute of Technology (MIT) recently created a new highly precise that could be easier to upscale, as its components can be crafted using commonly employed techniques, such as 3D printing and laser cutting. Their robotic hand, introduced in a paper published in the journal 2023 IEEE International Conference on Soft Robotics (RoboSoft), is based on a so-called modular structure, meaning that it comprises multiple that can be rearranged to achieve different movements.

Badbox Operation Targets Android Devices in Fraud Schemes

After a researcher discovered that an Android TV streaming box, known as T95, was infected with preloaded malware, researchers at Human Security released information regarding the extent of infected devices and how malicious schemes are connected to these corrupted products.

Daniel Milisic, a systems security consultant, created a script alongside instructions to help other users mitigate the threat after first coming across the issue. Now, Human Security’s threat intelligence and research team has dubbed the operation “Bandbox,” which it characterizes as a complex, interconnected series of ad fraud schemes on a massive scale.

Human Security describes the operation as “a global network of consumer products with firmware backdoors installed and sold through a normal hardware supply chain.” Once activated, the malware on the devices connect to a command-and-control (C2) server for further instructions. In tandem, a botnet known as Peachpit is integrated with Badbox, and engages in ad fraud, residential proxy services, fake email/messaging accounts, and unauthorized remote code installation.

ATLAS sets stringent limits on the existence of supersymmetric dark matter particles

If new particles are out there, the Large Hadron Collider (LHC) is the ideal place to search for them. The theory of supersymmetry suggests that a whole new family of partner particles exists for each of the known fundamental particles. While this might seem extravagant, these partner particles could address various shortcomings in current scientific knowledge, such as the source of the mysterious dark matter in the universe, the “unnaturally” small mass of the Higgs boson, the anomalous way that the muon spins and even the relationship between the various forces of nature. But if these supersymmetric particles exist, where might they be hiding?

This is what physicists at the LHC have been trying to find out, and in a recent study of proton–proton data from Run 2 of the LHC (2015–2018), the ATLAS collaboration provides the most comprehensive overview yet of its searches for some of the most elusive types of supersymmetric particles—those that would only rarely be produced through the “weak” nuclear force or the electromagnetic force. The lightest of these weakly interacting supersymmetric particles could be the source of dark matter.

The increased collision energy and the higher collision rate provided by Run 2, as well as new search algorithms and machine-learning techniques, have allowed for deeper exploration into this difficult-to-reach territory of supersymmetry.

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