The article discusses the 'Big Allis' generator manufactured …
EDN
The article provides a roundup of significant developments …
Embedded.com
Qilimanjaro CEO Marta Estarellas discusses the current surge …
EE Times
X-FAB is launching its XbloX platform to provide standardized yet flexible access to advanced silicon carbide (SiC) process technologies. This initiative aims to expedite the development of advanced power devices through rapid prototyping.
onsemi has launched its 650V and 950V EliteSiC MOSFETs in the T2PAK top-cool package, which are now being shipped to lead customers. This product aims to provide improved thermal performance, reliability, and design flexibility for demanding applications.
ROHM has initiated mass production of its SCT40xxDLL series of SiC MOSFETs utilizing TOLL packages, which promise improved performance over traditional TO-263-7L packages. This advancement marks a significant step in the development of more efficient semiconductor components.
Melexis has developed a new algorithm for people detection, counting, and localization using its MLX90642 far-infrared thermal array. This solution offers a privacy-preserving alternative for monitoring people in various environments.
Lancaster University has received the prestigious Queen Elizabeth Prize for Education for its contributions to the BBC micro:bit. This award represents the highest educational honor in the UK.
The article explores the viability of Small Language Models (SLMs) in hardware design, particularly when integrated with an agentic AI framework. It highlights that SLMs can achieve near-large language model performance at a significantly lower cost through innovative workflows.
The article introduces FLEX, an FPGA-CPU accelerator designed to enhance mixed-cell-height legalization tasks by optimizing task assignments and employing multi-granularity pipelining techniques. Experimental results demonstrate significant speedups and improved legalization quality compared to existing solutions.
The article reviews the potential of resistive random-access memory (RRAM) for analog matrix computing in massive MIMO signal processing. It highlights recent advancements in using RRAM for tasks such as matrix-vector multiplication and MIMO detection, emphasizing its relevance in wireless communication.
The article discusses the challenges posed by data movement overhead in large-scale Mixture of Experts (MoE) Large Language Models (LLMs) and presents insights from profiling four state-of-the-art models. It highlights how understanding these patterns can lead to architectural improvements in wafer-scale GPUs for enhanced performance.
The paper introduces a new method for automated stripboard circuit layout design using Answer Set Programming (ASP), focusing on both synthesis and multi-objective optimization. It demonstrates the ability to create compact, manufacturable layouts while addressing complex design constraints effectively.
The article introduces ESACT, an end-to-end sparse accelerator designed to enhance the efficiency of compute-intensive Transformers by leveraging local similarity for sparse acceleration. This approach addresses the limitations of existing accelerators that primarily focus on intra-row sparsity and often incur high computational costs.
The paper introduces a method for enhancing the functional stability of neural networks by employing hardware redundancy at the neuron level. This approach allows the system to maintain operation despite individual hardware failures.