Neuromorphic AI hardware encompasses brain-inspired computing systems that implement neural network primitives directly in physical substrates to achieve extreme energy efficiency and low latency. Architectures use devices such as memristors, magnetic tunnel junctions, electrochemical memories, photonic and microwave components, and organic or superconducting neurons to realize synapses, neurons, and compute-in-memory operations. These platforms support spiking and analog neural computation, on-chip learning, and specialized sensory and cognitive functions, targeting applications from edge intelligence and autonomous systems to large-scale AI acceleration and brain–computer interfaces.
Electronics & Semiconductors
A team at the University of Florida has developed a new kind of computer chip that uses light with electricity to perform one of the most power-intensive parts of artificial intelligence—image recognition and similar pattern-finding ...
Sep 8, 2025
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136
Hardware
The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid due to its intensive energy consumption. Digital computing's energy and latency demands will likely ...
Hardware
Researchers at Institute of Science Tokyo have created a new material platform for non-volatile memories using covalent organic frameworks (COFs), which are crystalline solids with high thermal stability. The researchers ...
Sep 5, 2025
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61
Hardware
The Emerging Investigator Series by the journal Materials Horizons features outstanding work by young researchers in the field of materials science. In the latest Editorial, Dr. Eunho Lee, an Assistant Professor of Chemical ...
Sep 2, 2025
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46
Software
Embedded systems such as Internet of Things (IoT) devices and single-board computers possess limited memory and processing power, necessitating the effective management of these constraints. This makes Linux—a flexible and ...
Sep 2, 2025
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88
Hardware
The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As machine learning algorithms ...
Hi Tech & Innovation
From creating art and writing code to drafting emails and designing new drugs, generative AI tools are becoming increasingly indispensable for both business and personal use. As demand increases, they will require even more ...
Electronics & Semiconductors
Over the past decades, engineers have introduced a wide range of computing systems inspired by the human brain or designed to emulate some of its functions. These include devices that artificially reproduce the behavior of ...
Electronics & Semiconductors
Addressing a major roadblock in next-generation photonic computing and signal processing systems, researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have created a device that can ...
Aug 25, 2025
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112
Computer Sciences
With the particular needs of scientists and engineers in mind, researchers at the Department of Energy's Pacific Northwest National Laboratory have co-designed with Micron a new hardware-software architecture purpose-built ...
Aug 21, 2025
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