Typical cooperative multi-agent systems (MASs) exchange information to coordinate their motion in proximity-based control consensus schemes to complete a common objective. However, in the event of faults or cyber attacks to on-board positioning sensors of agents, global control performance may be compromised resulting in a hijacking of the entire MAS. For systems that operate in unknown or landmark-free environments (e.g., open terrain, sea, or air) and also beyond range/proximity sensing of nearby agents, compromised agents lose localization capabilities. To maintain resilience in these scenarios, we propose a method to recover compromised agents by utilizing Received Signal Strength Indication (RSSI) from nearby agents (i.e., mobile landmarks) to provide reliable position measurements for localization. To minimize estimation error: i) a multilateration scheme is proposed to leverage RSSI and position information received from neighboring agents as mobile landmarks and ii) a Kalman filtering method adaptively updates the unknown RSSI-based position measurement covariance matrix at runtime that is robust to unreliable state estimates. The proposed framework is demonstrated with simulations on MAS formations in the presence of faults and cyber attacks to on-board position sensors.

Predictive simulations of the shock-to-detonation transition (SDT) in heterogeneous energetic materials (EM) are vital to the design and control of their energy release and sensitivity. Due to the complexity of the thermo-mechanics of EM during the SDT, both macro-scale response and sub-grid mesoscale energy localization must be captured accurately. This work proposes an efficient and accurate multiscale framework for SDT simulations of EM. We introduce a new approach for SDT simulation by using deep learning to model the mesoscale energy localization of shock-initiated EM microstructures. The proposed multiscale modeling framework is divided into two stages. First, a physics-aware recurrent convolutional neural network (PARC) is used to model the mesoscale energy localization of shock-initiated heterogeneous EM microstructures. PARC is trained using direct numerical simulations (DNS) of hotspot ignition and growth within microstructures of pressed HMX material subjected to different input shock strengths. After training, PARC is employed to supply hotspot ignition and growth rates for macroscale SDT simulations. We show that PARC can play the role of a surrogate model in a multiscale simulation framework, while drastically reducing the computation cost and providing improved representations of the sub-grid physics. The proposed multiscale modeling approach will provide a new tool for material scientists in designing high-performance and safer energetic materials.

ARTIFICIAL intelligence experts have warned that we should slow down the development of AI as it continues to advance at a rapid rate. Several concerns were raised in a recent report by Vox which claimed "pumping the brakes" on AI could be the best thing for humanity. "I'm really scared of a mad-dash frantic world, where people are running around and they're doing helpful things and harmful things, and it's just happening too fast. "If I could have it my way, I'd definitely be moving much, much slower," Ajeya Cotra, an AI-focused analyst at Open Philanthropy, told Vox. Big brands like Google and Microsoft are working on their own AI bots despite growing concerns. Microsoft has even teamed up with ChatGPT creator OpenAI to create its own controversial AI. OpenAI CEO Sam Altman recently admitted that even he is a "little bit scared" of the technology. Altman said in an interview with ABC News that he had concerns about how fast AI could be used to spread disinformation. He also has worries about how it will affect elections and the work place. The CEO said: "I'm particularly worried that these models could be used for large-scale disinformation.

The advanced brain-computer interface was developed by Distinguished Professor Chin-Teng Lin and Professor Francesca Iacopi, from the UTS Faculty of Engineering and IT, in collaboration with the Australian Army and Defence Innovation Hub. As well as defence applications, the technology has significant potential in fields such as advanced manufacturing, aerospace and healthcare -- for example allowing people with a disability to control a wheelchair or operate prosthetics. "The hands-free, voice-free technology works outside laboratory settings, anytime, anywhere. It makes interfaces such as consoles, keyboards, touchscreens and hand-gesture recognition redundant," said Professor Iacopi. "By using cutting edge graphene material, combined with silicon, we were able to overcome issues of corrosion, durability and skin contact resistance, to develop the wearable dry sensors," she said.

When ChatGPT is down or facing limitations, it can disrupt your workflow and hinder your conversations. However, there are several alternatives and options available that you can consider to keep your conversations going.

NASA announced that the launch of the Utah State University Space Dynamics Laboratory and College of Science-led Atmospheric Waves Experiment, or AWE, is scheduled for December 2023. The NASA-funded instrument will launch from Cape Canaveral Space Force Station to the International Space Station. AWE Principal Investigator Dr. Michael Taylor from USU's College of Science leads a team of scientists that will provide new details about how the weather on Earth interacts with, and affects, space weather. To do that, the AWE instrument, measuring about 54 centimeters by one meter and weighing less than 57 kilograms, will peer into Earth's upper atmosphere from an orbit of about 400 kilometers above to provide unprecedented images of Earth's gravity waves as they rise through the mesopause, the mesosphere's upper boundary, and into other parts of the ionosphere. Atmospheric gravity waves are generated by weather events on Earth, including strong winds that shoot upward as they collide with large mountains, hurricanes that create gravity waves directly through high winds and indirectly by interacting with underlying topography, and seismic activities such as earthquakes and volcanic eruptions. Impacts from atmospheric gravity waves and space weather can adversely affect satellites that provide seemingly ubiquitous services across the globe and for human spaceflight missions.

Thanks to artificial intelligence, faking someone's voice is easier than ever - all you need is a few minutes of audio. An investigation by Guardian Australia has found that this technology is able to fool a voice identification system that's used by the Australian government to secure the private information of millions of people. Data and interactives editor Nick Evershed explains how he discovered this security flaw and AI expert Toby Walsh explores how this technology could potentially make it easier than ever to steal someone's identity or commit scams

Hosted by Eleanor Drage and Kerry Mackereth, The Good Robot is a podcast which explores the many complex intersections between gender, feminism and technology. In this episode Eleanor and Kerry talk to Pedro Oliveira, a researcher and sound artist based at the Akademie der Künste in Berlin. Pedro does amazing work investigating border control technologies that listen to asylum seekers and claim to be able to discern where they came from from the way they speak. In this episode we discuss why these kinds of technologies rely on the assumption that there is an authentic way that a migrant from a particular place should sound. Our quest to unravel vocal authenticity takes us through frequency, timbre, and 1960s synthesisers from East Berlin.

New Delhi, NFAPost: Sophos, a global leader in innovating and delivering cybersecurity as a service, released new research on how the cybersecurity industry can leverage GPT-3, the language model behind the now well-known ChatGPT framework, as a co-pilot to help defeat attackers. The latest report, "GPT for You and Me: Applying AI Language Processing to Cyber Defenses," details projects developed by Sophos X-Ops using GPT-3's large language models to simplify the search for malicious activity in datasets from security software, more accurately filter spam, and speed up analysis of "living off the land" binary (LOLBin) attacks. Sophos Principal Threat Researcher Sean Gallagher said Since OpenAI unveiled ChatGPT back in November, the security community has largely focused on the potential risks this new technology could bring. "Can the AI help wannabee attackers write malware or help cybercriminals write much more convincing phishing emails? Perhaps, but, at Sophos, we've long seen AI as an ally rather than an enemy for defenders, making it a cornerstone technology for Sophos, and GPT-3 is no different. The security community should be paying attention not just to the potential risks, but the potential opportunities GPT-3 brings," said Sophos Principal Threat Researcher Sean Gallagher.

Crippled by war and sanctions, Russia now faces evidence that its already-struggling space program is falling apart. In the past three months alone, Roscosmos has scrambled to resolve two alarming incidents. First, one of its formerly dependable Soyuz spacecraft sprang a coolant leak. Then the same thing happened on one of its Progress cargo ships. The civil space program's Soviet predecessor launched the first person into orbit, but with the International Space Station (ISS) nearing the end of its life, Russia's space agency is staring into the abyss.