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A Multi-Layer Electronic and Cyber Interference Model for AI-Driven Cruise Missiles: The Case of Khuzestan Province
Announce Type: replace Abstract: The rapid advancement of Artificial Intelligence has enabled the development of cruise missiles endowed with high levels of autonomy, adaptability, and precision. These AI driven missiles integrating deep learning algorithms, real time data processing, and advanced guidance systems pose critical threats to strategic infrastructures, especially under complex geographic and climatic conditions such as those found in Irans Khuzestan Province. In this paper, we...
Nickelate superconductors share a common electronic fingerprint
Nickelate superconductors share a common electronic fingerprint Ingrid Fadelli Author Sadie Harley Scientific Editor Robert Egan Associate Editor Superconductors, materials that conduct electricity with zero electrical resistance at specific temperature ranges, have proved very promising for the development of quantum computers and other cutting-edge technologies. While most of these materials become superconducting at very low temperatures, others exhibit superconductivity at higher...
India's 'Sudarshan Chakra': Why a nationwide air defence shield is becoming a necessity
The Ukrainian attack on the key Russian port city of St Petersburg has once again demonstrated the need for a robust air defence system. The attack carried out 800 km from Ukraine's border took place just hours before the St Petersburg International Economic Forum, also known as the 'Russian Davos'. The drones hit many key targets in the city, such as an oil complex and a naval base.
Multi-channel Optical Vision Model
Announce Type: new Abstract: Spatial multiplexing is one of the natural strengths of optics, yet in optical neural networks, it is often used mainly as parallel throughput. Here, we show that spatial multiplexing in an optical neural network can be used not only to process multiple inputs in parallel, but also to define a trainable representational coordinate of the model. In three implemented scenarios, parallel-input processing, class-code readout and channel-mixed feature interaction,...
Israel issues more displacement orders in Lebanon, seizes strategic castle
Israel issues more displacement orders in Lebanon, seizes strategic castle Israeli Defence Minister Israel Katz describes the capture of Beaufort Castle as a significant tactical victory. Israel has ordered the forced displacement of all residents living south of the Zahrani River in southern Lebanon as it expands its invasion of the country before a possible assault on the city of Nabatieh. In a post on the social media platform X on Sunday, Israeli military Arabic spokesperson Avichay...
Drone race: How Ukraine's defence tech redefined Russia's war
In its most recent attacks against Ukraine, Russia hit the cities with dozens of ballistic missiles, knowing very well that this is one of the very few weapons Ukraine remains vulnerable to. As for the drones — this is where Kyiv mastered both defensive and offensive know-how. Since the beginning of Russia’s full-scale invasion of Ukraine in early 2022, Moscow’s main military advantage has been its scale: a large standing force, extensive reserves, and the legacy of a Soviet-era military...
Electron-wave-stimulated mid-infrared emission from graphene-substrate quantum oscillators
Announce Type: replace Abstract: Generating tunable, high-intensity mid-infrared (MIR) to terahertz (THz) radiation on-chip remains a formidable challenge due to the rigid spectral limits of conventional thermal emitters. While graphene has emerged as a promising platform for light-matter interaction, active control of its radiative properties has been largely confined to surface-limited phenomena mostly associated with plasmons. Here, we introduce a new MIR radiation platform where...
Efficient and accurate neural-field reconstruction using resistive memory
Abstract Applications such as medical imaging, augmented and virtual reality, and embodied artificial intelligence (AI) depend on the ability to reconstruct complex signals from sparse observations. These applications are characterized by incomplete measurements and limited computational resources. Traditional approaches to digital hardware face the following challenges: explicit signal representations require heavy sampling and storage, data movement across the von Neumann bottleneck...