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Artificial intelligence (AI) and machine learning tools have proved to be highly effective in tackling various tasks that entail analyzing data and making accurate predictions. Despite their advantages, these tools have significant computational demands, and when running on existing processing…
Solar cell, telescope and other optical component manufacturers may be able to design better devices more quickly with AI. OptoGPT, developed by University of Michigan engineers, harnesses the computer architecture underpinning ChatGPT to work backward from desired optical properties to…
Following the rapid advancement of artificial intelligence (AI) tools, engineers worldwide have been working on new architectures and hardware components that replicate the organization and functions of the human brain.…
Following the rapid advancement of artificial intelligence (AI) tools, engineers worldwide have been working on new architectures and hardware components that replicate the organization and functions of the human brain.…
US chip titan Intel on Tuesday struck a defiant tone in the face of strong challenges from rivals Nvidia, AMD and Qualcomm, unveiling technologies it said would lead the artificial intelligence revolution.…
US chip titan Intel on Tuesday struck a defiant tone in the face of strong challenges from rivals Nvidia, AMD and Qualcomm, unveiling technologies it said would lead the artificial intelligence revolution.…
Artificial neural networks may soon be able to process time-dependent information, such as audio and video data, more efficiently. The first memristor with a "relaxation time" that can be tuned is reported today in Nature Electronics, in a study led…
Artificial neural networks may soon be able to process time-dependent information, such as audio and video data, more efficiently. The first memristor with a "relaxation time" that can be tuned is reported today in Nature Electronics, in a study led…
A new study from NC State University combines three-dimensional embroidery techniques with machine learning to create a fabric-based sensor that can control electronic devices through touch. The paper is published in the journal Device.…
A research team led by Prof. Kwon Hyuk-jun of the DGIST Department of Electrical Engineering and Computer Science has developed a next-generation AI semiconductor technology that mimics the human brain's efficiency in AI and neuromorphic systems.…
The rapid advancement in machine learning techniques and sensing devices over the past decades have opened new possibilities for the detection and tracking of objects, animals, and people. The accurate and automated detection of visual targets, also known as intelligent…
The rapid advancement in machine learning techniques and sensing devices over the past decades have opened new possibilities for the detection and tracking of objects, animals, and people. The accurate and automated detection of visual targets, also known as intelligent…
The recent development of an intelligent sensor that mimics the optic nerve of insects while operating at ultra-high speeds and low power offers extensive expandability into various innovative technologies. This technology is expected to be applied to various fields including…
We are tasking our computers with processing ever-increasing amounts of data to speed up drug discovery, improve weather and climate predictions, train artificial intelligence, and much more. To keep up with this demand, we need faster, more energy-efficient computer memory…
Taking inspiration from the human brain, researchers have developed a new synaptic transistor capable of higher-level thinking.…
Neuromorphic vision sensors are unique sensing devices that automatically respond to environmental changes, such as a different brightness in their surrounding environment. These sensors mimic the functioning of the human nervous system, artificially replicating the ability of sensory neurons to…
Machine learning (ML) is generally defined as data-driven technology mimicking intelligent human abilities, which bit by bit upgrades its accuracy from experience. It starts with gathering massive amounts of data, such as numbers, texts, images and so on. After training…
Computer simulations can greatly contribute to the study of new promising materials for technological applications. These include so-called phase-change materials (PCMs), substances that release or absorb thermal energy while melting and solidifying, which are promising for the development of memory…
Taiwanese tech giant Foxconn and US hardware leader Nvidia said Wednesday they would team up to create "AI factories", powerful data processing centers that would drive the manufacturing of next-generation products such as electric cars.…
Forget the cloud. Northwestern University engineers have developed a new nanoelectronic device that can perform accurate machine-learning classification tasks in the most energy-efficient manner yet. Using 100-fold less energy than current technologies, the device can crunch large amounts of data…
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