Continuing to unpack NVIDIA's GTC Conference releases, one stand out was the Hopper architecture targeting high-performance computing (HPC) and AI/machine learning.
Continuing to unpack NVIDIA's GTC Conference releases, one stand out was the Hopper architecture targeting high-performance computing (HPC) and AI/machine learning.
A new, low-power AI processor leverages a bleeding-edge neural network theory: the lottery ticket theory.
A new, low-power AI processor leverages a bleeding-edge neural network theory: the lottery ticket theory.
As technology continues to evolve, so should the education of those making the technology. A recent outpour of…
As technology continues to evolve, so should the education of those making the technology. A recent outpour of initiatives and programs from companies and universities shoot for more diverse, hands-on EE education.
How will edge computing design evolve over the next few years? In an interview with All About Circuits, NXP discussed the…
How will edge computing design evolve over the next few years? In an interview with All About Circuits, NXP discussed the trends they're seeing in this space.
Power management ICs (PMICs) are continually scaling down. Here's how a few companies are packing functionality in these…
Power management ICs (PMICs) are continually scaling down. Here's how a few companies are packing functionality in these devices in the face of miniaturization.
In a bid to push forward innovation in micro-electro-mechanical systems (MEMS), STMicroelectronics has launched a…
In a bid to push forward innovation in micro-electro-mechanical systems (MEMS), STMicroelectronics has launched a power-efficient system that combines signal processing, AI, and MEMS sensors all-in-one.
Last week the NVIDIA-Arm deal fell through, but it left us some questions to answer. What were the controversies and…
Last week the NVIDIA-Arm deal fell through, but it left us some questions to answer. What were the controversies and issues standing in the way? What did NVIDIA hope to gain? Where does that leave Arm?
What happens when you apply the merits of analog compute to ML? According to Aspinity, a chip that reduces system power…
What happens when you apply the merits of analog compute to ML? According to Aspinity, a chip that reduces system power by up to 95%.
Packing thousands of NVIDIA GPUS, Meta researchers unveil AI Research SuperCluster (RSC) supercomputer that could train…
Packing thousands of NVIDIA GPUS, Meta researchers unveil AI Research SuperCluster (RSC) supercomputer that could train large AI models needed for new AI-based applications.
As the world of machine learning (ML) grows and finds its use in more applications, researchers and companies are finding…
As the world of machine learning (ML) grows and finds its use in more applications, researchers and companies are finding ways to leverage it to improve hardware performance and design.
Silicon Labs says that with these two new families, battery-powered edge devices won't face trade-offs with power,…
Silicon Labs says that with these two new families, battery-powered edge devices won't face trade-offs with power, protocol support, ML capability, and security.
As computing moves towards the edge, a heterogeneous computing architecture, NeuPro-M from CEVA, also hopes to bring…
As computing moves towards the edge, a heterogeneous computing architecture, NeuPro-M from CEVA, also hopes to bring machine learning (ML) to the edge while boasting performance and power improvements.
Processing-in-memory is no longer confined to the research realm. Even companies like Samsung and IBM are spearheading…
Processing-in-memory is no longer confined to the research realm. Even companies like Samsung and IBM are spearheading the movement toward in-memory computing.
Hoping to take on real-time processing in more niche areas of research, a team from MIT along with A3D3 Institute, are…
Hoping to take on real-time processing in more niche areas of research, a team from MIT along with A3D3 Institute, are using deep learning models to make digesting large data sets easier.
How close are we to reverse-engineering the human brain's plasticity? New research in computational neuroscience and…
How close are we to reverse-engineering the human brain's plasticity? New research in computational neuroscience and nanotechnologies indicates that neuromorphic chips can read synaptic connectivity with greater sensitivity.
The natural world can always be an inspiration for new technology. A new sensor inspired by spider webs from TU Delft…
The natural world can always be an inspiration for new technology. A new sensor inspired by spider webs from TU Delft could have large implications for the study of gravity, the quantum internet, and more.
A shift to in-house silicon is redefining the dynamics of the industry and shaking up long-standing "norms;" however, why…
A shift to in-house silicon is redefining the dynamics of the industry and shaking up long-standing "norms;" however, why is this happening and starting to gain momentum with larger companies?
The new Snapdragon extension expands the mobile platform's capabilities to new markets from PCs to ADAS.
The new Snapdragon extension expands the mobile platform's capabilities to new markets from PCs to ADAS.
Moving away from Cloud-based AI to the network Edge reduces power and bandwidth demands. Akida, the neuromorphic Edge AI…
Moving away from Cloud-based AI to the network Edge reduces power and bandwidth demands. Akida, the neuromorphic Edge AI processor from BrainChip might help to facilitate that move along with MegaChips' help.
Bad actors soliciting communications with sensitive radio devices can lead to data breaches. Building upon machine…
Bad actors soliciting communications with sensitive radio devices can lead to data breaches. Building upon machine learning techniques, IARPA launches a new program called SCISRS for real-time RF signal analysis.
Facebook
Google
GitHub
Linkedin