AI Guides ORNL to Make Breakthrough Materials Near Ultimate Physical Limits

Guided by machine learning, chemists at the Department of Energy’s Oak Ridge National Laboratory designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material. A supercapacitor made with the new material could store more energy — improving regenerative brakes, power electronics and auxiliary power supplies. This research has …

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Machine Learning and Direct Device to Satellite Communication

Machine Learning techniques will improve the service performance and management NTN (satellite to earth) connectivity. Non-terrestrial networks (NTNs) have been gaining importance in the last years due to their technological improvements and the integration in the 3GPP standards. Direct satellite-to-device connectivity will have more than 25 million subscribers by the end of 2023 due to …

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A-Eye Can See Millions of Colors for Better Automation

Researchers at Northeastern have built a device that can recognize “millions of colors” using new artificial intelligence techniques. “In the world of automation, shapes and colors are the most commonly used items by which a machine can recognize objects,” Kar says. The breakthrough is twofold. Researchers were able to engineer two-dimensional material whose special quantum …

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Google AI Architecture Pathways Can Learn Millions of Things

The Google Research next-generation AI architecture is called Pathways. It will enable a single model to learn millions of things instead of just one thing. This will be a massive phase change and up leveling of neural network and AI capabilities. Pathways is part of the improvements Google is making to their AI. Google new …

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ColdQuanta Could Become the Fastest Scaling Quantum Computer Approach

Nextbigfuture interviewed Tom Noel, ColdQuanta’s Director of Quantum Computing and Interim CEO Dan Caruso. ColdQuanta is using neutral atoms instead of trapped ions as the basis for its quantum computers. ColdQuanta is building a functional first system now and believes they will be able to scale to the 1000s of qubits faster than competing approaches. …

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Intelligent Holographic Nanostructures Can Reach 400 EXAFlops and Beyond Human Brain Neural Density

An AI optical circuit has been made with a neural density equal to 1/400 of human brain. The circuit is trained to process information through unpowered all-optical inference at the speed of light with a computational power more than ten orders of magnitude larger than electronic processors. In future, its neural density is expected to …

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How OneView Uses Synthetic Data for the Remote Sensing Industry

What is synthetic data? It is data that is not generated through direct measurement or data capture methods, but rather data that is made from scratch. Examples of which are data derived from computer simulations based on variables that emulate real-world situations. Synthetic data is useful in coming up with projections or examining the potential …

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Eight Nvidia A100 Next Generation Tensor Chips for 5 Petaflops at $200,000

The Nvidia A100 chip was presented at the Hot Chips conference. Sander Olson provided Nextbigfuture with the presentation. The Nvidia A100 is a third-generation Tensor Core chip. It is faster and more efficient than competing chips like the prior Nvidia chip (V100), the Google Tensor processing unut (TPU) version 3, and Huawei Ascend. The Nvidia …

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QC Ware Quantum Loader Breakthrough for up 100X Faster Training of Quantum Machine Learning

QC Ware, a leader in enterprise software and services for quantum computing, announced a breakthrough in quantum machine learning (QML) that increases QML accuracy and speeds up the industry timeline for practical QML applications on near-term quantum computers. They have achieved a speedup of about 100 times. Nextbigfuture interviewed Yianni Gamvros, Head of Product and …

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Beyond Big Data is Big Memory Computing for 100X Speed

MemVerge™, the inventor of Memory Machine™ software, today introduced what’s next for in-memory computing: Big Memory Computing. This new category is sparking a revolution in data center architecture where all applications will run in memory. Until now, in-memory computing has been restricted to a select range of workloads due to the limited capacity and volatility …

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Data is the New Oil and Google DataSet Search is the Motherlode of Data

Data is the new oil and now Google is providing Dataset Search. Datasets are needed to train Machine Learning and for other computer projects. Data is a vital resource for the modern age and now Datasets are easily published and discovered. Dataset Search has indexed almost 25 million of these datasets, giving you a single …

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