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%.
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 companies shoot to deliver higher performance devices, the system-on-a-chip (SoC) hopes to deliver. From new chipsets…
As companies shoot to deliver higher performance devices, the system-on-a-chip (SoC) hopes to deliver. From new chipsets to SoC verification platforms, the industry aims to keep pushing SoCs to new heights.
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.
Aiming to kick non-volatile memory to the next level, Weebit Nano demonstrated its first crossbar resistive random-access…
Aiming to kick non-volatile memory to the next level, Weebit Nano demonstrated its first crossbar resistive random-access memory (ReRAM or RRAM) arrays.
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.
A new family of co-processors from VSORA hopes to overcome challenges and provide the compute needed to achieve full,…
A new family of co-processors from VSORA hopes to overcome challenges and provide the compute needed to achieve full, level 5 vehicle autonomy.
To accelerate efficient performance in autonomous vehicles, the new AI domain controller from Ambarella promises robust…
To accelerate efficient performance in autonomous vehicles, the new AI domain controller from Ambarella promises robust single-chip processing for multi-sensor perception in an advanced driver-assistance system (ADAS).
Learn about a subsection of machine learning (ML) called Tiny Machine Learning (TinyML), what it is, its applications,…
Learn about a subsection of machine learning (ML) called Tiny Machine Learning (TinyML), what it is, its applications, hardware and software requirements, and its benefits.
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.
Industries like aerospace and defense are only raising the bar on IC requirements. Here are a few recently announced…
Industries like aerospace and defense are only raising the bar on IC requirements. Here are a few recently announced tools helping IC designers meet the task.
With 2022's Consumer Electronics Show (CES) coming up soon, we’ll take a look at some notable technologies to be…
With 2022's Consumer Electronics Show (CES) coming up soon, we’ll take a look at some notable technologies to be highlighted at next year's Innovation Awards.
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.
Qualcomm shakes up the mobile world by announcing new members to their Snapdragon family, the 8 Gen 1, 8cx, and 7c+,…
Qualcomm shakes up the mobile world by announcing new members to their Snapdragon family, the 8 Gen 1, 8cx, and 7c+, which aim to bring innovative AI mobile platforms to users.
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.
Facebook
Google
GitHub
Linkedin