Drawing inspiration from prehistoric nature, namely a trilobite, NIST researchers create a “record-setting” lens and camera system.
Drawing inspiration from prehistoric nature, namely a trilobite, NIST researchers create a “record-setting” lens and camera system.
PROPHESEE, along with iCatch, have teamed up to provide the industry with the "world's first event-based vision sensor"…
PROPHESEE, along with iCatch, have teamed up to provide the industry with the "world's first event-based vision sensor" in a 13 x 15 mm mini PGBA package.
Signifying a step toward practical application of quantum computing technology, IonQ and Hyundai have partnered to apply…
Signifying a step toward practical application of quantum computing technology, IonQ and Hyundai have partnered to apply quantum machine learning (ML) for object recognition of common roadway objects.
Israeli Polyn’s neuromorphic IC has been successfully packaged and evaluated, taking TinyML, or tiny machine learning,…
Israeli Polyn’s neuromorphic IC has been successfully packaged and evaluated, taking TinyML, or tiny machine learning, technology another step to becoming more mainstream.
As data centers are put under more pressure, EEs are looking at field-programmable gate arrays (FPGAs) as a potential…
As data centers are put under more pressure, EEs are looking at field-programmable gate arrays (FPGAs) as a potential solution. However, how could they be useful, and who is ramping up their research efforts?
Taking aim at creating a future supercomputer, NVIDIA has created a new H100 Tensor Core graphics processing unit (GPU)…
Taking aim at creating a future supercomputer, NVIDIA has created a new H100 Tensor Core graphics processing unit (GPU) leveraging its latest architecture, Hopper.
Continuing to unpack NVIDIA's GTC Conference releases, one stand out was the Hopper architecture targeting…
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.