Computing News

Source: Entanglement Inc.

Taking Quantum Logic to the Edge

Jason Turner, Chairman and CEO of Entanglement, started the AI quantum computing company in 2017. He quickly realized it was too early. Rather than focus on quantum computing hardware, which is still on the journey to maturity, he chose to focus on quantum logic, and quantum inspired algorithms applicable to existing compute technologies.He and his team therefore turned their attention to using quantum logic. “We reframed the math into our own solvers that can solve massive problems on non-classical computer technology. We are now applying that to different applications, including oceanography

(Credit: Viridien Earth Data)

Viridien Teams Up with NVIDIA to Accelerate Seismic Imaging Workflows

Viridien has entered into a collaboration with NVIDIA to advance high-performance computing (HPC) capabilities for seismic imaging workflows, focusing on optimizing subsurface imaging technologies on NVIDIA accelerated computing platforms.The initiative will center on enhancing Viridien’s seismic imaging algorithms using NVIDIA HPC platforms, incorporating advanced features such as tensor cores and mixed-precision computing. The companies aim to improve system performance, imaging accuracy and operational efficiency for energy and geoscience clients worldwide.The collaboration combines Viridien&rs

Researchers produced models to show how currents of varying strengths, moving in different directions impact surface waves. (URI images courtesy of Isaac Ginis)

URI Computer Simulations Show How Strong Ocean Currents Reduce Size of Surface Waves

;the average height of the highest one-third of waves—can be reduced by 0.4-2.2 meters, or roughly 1-7 feet, and the dominant wave period can be shortened by about 0.3-1.5 seconds.The simulations required a powerful computer, so the researchers remotely accessed URI’s high-performance computing nodes installed at the Massachusetts Green High Performance Computing Center in Holyoke, Massachusetts. URI formed a partnership with the computing center in 2021.Ginis is hopeful that the team’s research, which was funded by the National Oceanographic Partnership Program/Office of Naval

© Schmidt Sciences

Schmidt Sciences Awards Over $3m to Study AI’s Impact on Jobs

;s Ioana Marinescu, University of Chicago’s John List, the Abdul Latif Jameel Poverty Action Lab at MIT (JPAL), and research institution UNU-WIDER.In addition to funding, Schmidt Sciences is providing awardees with connections to its grantee network, feedback on their projects and access to computing support.These projects will also inform ongoing work between The Rockefeller Foundation, Schmidt Sciences and other foundations on scenarios for AI’s impact on the labor markets. Last October,The Rockefeller Foundation collaborated with Schmidt Sciences to gather economists, AI companies

Source: Entanglement

Entanglement Acquires Applied Ocean Sciences

, this acquisition is about bringing together extraordinary people. The AOS team represents an unmatched concentration of scientific talent and real-world domain expertise across ocean, atmospheric, and biological systems. By combining their work with Entanglement’s quantum logic, AI, and advanced computing, we can solve problems that were previously out of reach—delivering trusted high-performance intelligence at a scale and speed not possible before, whether advancing environmental stewardship, improving maritime safety, or enabling critical decision-making when time truly matters.”By

Marine ecosystems can be highly susceptible to invasive species. Credit: Adobe Stock/wkproduction

SYRENE: An Underwater Embedded Artificial Intelligence Camera for Invasive Fauna Monitoring

simple and low cost, with an electronic board (Raspberry Pi 4B) allowing connection to an Intel Neural Stick V2 VPU (Vision Processing Unit), which accelerates the processing of images or videos (640*480 pixels) from a Raspberry Pi OV5647 5 Mpixels camera module.As image processing requires significant computing power, the challenge was to achieve minimum performance on consumer hardware with limited energy, as the system runs on battery power: a compromise on performance was therefore made with this hardware.SYRENE V1 ready to be vertically immersed with its mirror. Credit: IFREMER S. BarbotThe detection

Aerial view of the Rock Islands and coral seascape at the Republic of Palau. [Photo credit: The Nature Conservancy]

Bezos Funds AI Nature Projects

coral reef monitoring network in the Pacific to a weather forecasting model designed for African farmers.The awardees were chosen following a global innovation sprint supported by partners including Amazon Web Services, Google.org, Microsoft Research, Ai2, and Esri, who provided mentorship, tools, and computing resources to help move ideas from concept to impact.Plymouth Marine Laboratory (PML) was one of the 15 selected. The university’s project involves advancing its Deep Vision project to use AI to greatly accelerate mapping of vulnerable marine ecosystems such as cold-water coral reefs and sponge

OTEC unit prototype (Credit: Global OTEC)

EU-Backed Project Deploys OTEC Demonstration Unit off Canary Islands

composed of the following companies - Global OTEC (UK), Cleantech Engineering (UK), WavEC Offshore Renewables (Portugal), The Oceanic Platform of the Canary Islands PLOCAN (Spain), Quality Culture (Italy), Agru Kunststofftechnik Gesellschaft (Austria) and University of Plymouth School of Engineering, Computing and Mathematics (UK)

Source: University of Gothenburg

AI is Boosting Operational Autonomy

bio-inspired algorithms to reduce energy consumption. They highlight that robotic vision systems alone can use up to a third of the energy onboard a robot because of modern robotic vision’s reliance on AI.They have developed a system that uses a brain-inspired technology called neuromorphic computing. This takes principles from neuroscience to learn and process information like human brains do. It entails designing hardware and software that simulate the neural and synaptic structures and functions of the brain.An important feature of neuromorphic computers is that they are highly energy-efficient

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