Today, Intel has built the world’s largest neuromorphic system. It is code-named Hala Point, this large-scale neuromorphic system, initially deployed at Sandia National Laboratories, utilizes Intel’s Loihi 2 processor. It is aimed at supporting research for future brain-inspired artificial intelligence (AI), and tackles challenges related to the efficiency and sustainability of today’s AI. Hala Point …
OpenAI GPT5 has likely started its final training run. An earlier smaller run of a test version of GPT5 gave Sam Altman one of his top 4 feelings of a leap in AI capability. GPT5 will likely include the ability to explain in plain english all of the inference steps and for about 10,000 validation …
Intel introduced Loihi 2, its second-generation neuromorphic research chip, and Lava, an open-source software framework for developing neuro-inspired applications. Neuromorphic computing create chips that function more like the biological brain, aspires to deliver orders of magnitude improvements in energy efficiency, speed of computation and efficiency of learning across a range of edge applications: from vision, …
There was a lot of hype and promise around memristors and HPE bet huge amounts of research around creating a new computer paradigm around memristors and memory driven computing. The last major flurry of information and presentations from HPE was in 2018. From 2014-2018, HPE launched memory driven computing that was supposed to leverage memristor …
Sandia Labs and other researchers have made recent breakthroughs in neuromorphic computing and the broader fields of organic electronics and solid-state electrochemistry.
Naveen Rao is the Corporate Vice President and General Manager, Artificial Intelligence Products Group, Intel. Naveen views Moore’s law as an economic law. Naveen is talking about biological comparisons in order to use biology as a guide. There is a great diversity in the ecosystem. There are 300 pounds of insects for every pound of …
A neuromorphic supercomputer now has one-million processor cores. The Spiking Neural Network Architecture (SpiNNaker) machine can perform 200 trillion actions per second. Each chip has 100 million parts. The goal is to continue to scale up by 1000 times and simulate one billion biological neurons in real time. A mouse brain has about 100 million …
A Northwestern research team has developed a novel device called a “memtransistor,” which operates much like a neuron by performing both memory and information processing. With combined characteristics of a memristor and transistor, the memtransistor also encompasses multiple terminals that operate more similarly to a neural network. The memtransistor builds upon work published in 2015, …
Researchers at the National Institute of Standards and Technology (NIST) have built a superconducting switch that “learns” like a biological system and could connect processors and store memories in future computers operating like the human brain. Above – Illustrations showing the basic operation of NIST’s artificial synapse, which could connect processors and store memories in …
Nature Materials – SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations Although several types of architecture combining memory cells and transistors have been used to demonstrate artificial synaptic arrays, they usually present limited scalability and high power consumption. Transistor-free analog switching devices may overcome these limitations, yet the typical …
Stanford researchers were able to simultaneously monitor activity in every nerve cell of a zebrafish’s brain and determine which types of neurons were tied to alertness. Previously it was believed that there was a single alertness on/off switch but they have shown it is many cell types throughout the brain together produce the state of …