A team of researchers at Delft University of Technology has developed a drone that flies autonomously using neuromorphic image processing and control based on the workings of animal brains… Read More

Intel unveils Hala Point, the world’s largest neuromorphic system, advancing brain-inspired AI research with unprecedented efficiency and scalability. Hala Point, powered by Intel&rsqu… Read More

Hala Point, the industry’s first 1.15 billion neuron neuromorphic system, builds a path toward more efficient and scalable AI. Intel announced that it has built the world's large… Read More

image:  HNNs combine key features of computer-science-oriented models and neuroscience-oriented models, demonstrating improved flexibility and u… Read More

This article has been reviewed according to Science X’s editorial process and policies.Editors have highlighted the following attributes while… Read More

Summary: Artificial intelligence (AI) is becoming increasingly essential in various domains, including climate science and environmental monitoring. However, the energy consumption of AI sys… Read More

Spiking Neural Networks (SNNs) draw inspiration from the biological behavior of neurons in the human brain. In biological systems, neurons communicate through electrical signals called actio… Read More

A group of academics from the arts and sciences came up with a theory that may account for the complexity of the brain as well as the importance of sleep. In order to demonstrate that the br… Read More

BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, was issued i… Read More

Deep learning has revolutionized various fields, including computer vision, natural language processing, and robotics. As we move into 2024, several deep learning libraries continue to shape… Read More

Catching the ever-evolving technological bandwagon sooner is what sets up Enterprises for heightened success, and the forecast for 2024 unveils an array of groundbreaking advancements poised… Read More

Photo by Michael Dziedzic on UnsplashIntroductionNeuromorphic computing is an intriguing and fast expanding area that creates brain-like computer systems by drawing inspiration from the… Read More

It has been just revealed the fact that IBM made a new and effective AI processor. Check out the latest reports about this below. IBM and its brand-new processor As the use of AI systems has… Read More

A technical paper titled “3D Neuromorphic Hardware with Single Thin-Film Transistor Synapses Over Single Thin-Body Transistor Neurons by Monolithic Vertical Integration” was pub… Read More

In vitro model networks have been developed to create cellular models of neural circuits on a chip for laboratory research. Microfluidic circuits are a promising approach for building these… Read More

Kuaishou, a prominent short video platform based in Beijing, has introduced its self-developed large language model called KwaiYii. KwaiYii, boasting 13 billion parameters rooted in AI, comp… Read More

John Mccarthy, a computer scientist coined the term Artificial intelligence which replaced Pitts’ and McCulloch’s ‘nerve net’ and has since then been defined differen… Read More

A technical paper titled “Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks” was published by researchers at Institute of Neuroinform… Read More

A new Nature Machine Intelligence study demonstrated a new approach to training spiking neural networks on a large scale. By combining brain-like neurons with Forward-Propagation Through Tim… Read More

NEUROMORPHIC COMPUTING Need help with a related project topic or New topic? Send Us Your Topic  DOWNLOAD THE COMPLETE PROJECT MATERIAL NEUROMORPHIC COMPUTING ABSTRACT Neuromorphic… Read More

AI Energy Optimization: Techniques and Technologies for Greener Intelligence Artificial intelligence (AI) has been a game-changer in various industries, revolutionizing the way we live, work… Read More

Exploring the Efficiency Benefits of Neuromorphic Computing Neuromorphic computing, a type of computing that mimics the structure and function of the human brain, is becoming increasingly po… Read More

Researchers at the Massachusetts Institute of Technology have made a significant discovery in our understanding of memory. Researchers from The Picower Institute for Learning and Memory publ… Read More

SAN FRANCISCO– A CEA-Leti tutorial presented at IEDM 2022 highlighted promising advantages that resistive random-access memory (RRAM) technologies hold for implementing novel neuromorp… Read More

A new technical paper titled “Self-organization of an inhomogeneous memristive hardware for sequence learning” was just published by researchers at University of Zurich, ETH Zur… Read More

Scrumfall: When Agile becomes Waterfall by another nameAgile is supposed to be centered on people, not processes — on people collaborating closely to solve problems together in a cul… Read More

BrainChip has announced the availability of the Akida AKD1000 (mini) PCIe boards based on the company’s neuromorphic processor of the same name and relying on spiking neural networks… Read More

BrainChip has introduced two development kits for its Akida AKD1000 neuromorphic processor based on Raspberry Pi and an Intel (x86) mini PC in order to enable partners, large enterprises, a… Read More

Getty Image/Ralph Ordaz Unless you’ve also been living under leaf litter, in the dank reaches of a shady forest, you surely know that the mushroom revolution is upon us. Foraging i… Read More

Cloud, containers, AI and RPA will spur a strong tech spending rebound in 2021 Not surprisingly, the ability to work remotely has been a critical factor. Forty-four percent of respo… Read More

Welcome to the 2021 property market expert commentary post… Reflecting on the completely unexpected turn of events triggered by the pandemic – as well as Brexit, landlording, pr… Read More

IBM's research blog shares an article about "polyphonic music prediction using the Johann Sebastian Bach chorales dataset" achieved by using "biologically plausible neurons," a new approach… Read More