New Non-Volatile Memory Platform Based on Covalent Organic Frameworks

  • News: SiFive Unleashes Second-Generation RISC-V IP
  • Launches: Microsoft's Analog Optical Computer Boosts Energy Efficiency for AI
  • Charts: Cadence Acquires Hexagon AB's Design & Engineering Unit
  • Research: New Non-Volatile Memory Platform Based on Covalent Organic Frameworks
  • Insight: Development of Artificial Synapses for Next-Gen AI Chips

News

SiFive Unleashes Second-Generation RISC-V IP
SiFive has launched its second-generation Intelligence family of processors, featuring five RISC-V-based products aimed at accelerating AI workloads. This new lineup includes the X100 series, which is designed for high-performance edge and datacenter applications, addressing critical challenges in AI deployment and memory management. With strong early adoption, SiFive is poised to capitalize on the growing demand for AI solutions.

SiFive Launch


Launches

Microsoft’s Analog Optical Computer Boosts Energy Efficiency for AI
Microsoft, in collaboration with Cambridge University, has developed a new analog optical computer (AOC) prototype that promises up to 100 times the energy efficiency of leading GPUs. This innovative design avoids digital conversions and significantly enhances the performance of AI inference and optimization tasks, making strides toward sustainable computing.

Microsoft AOC


Charts

Cadence Acquires Hexagon AB’s Design & Engineering Unit
Cadence Design Systems has made a strategic $3.16 billion acquisition of Hexagon AB’s design and engineering unit to enhance its multiphysics simulation capabilities. This move follows Cadence’s earlier acquisition of Beta CAE Systems and marks a significant shift towards AI-driven design in simulation tools.

Cadence Acquisition


Research

New Non-Volatile Memory Platform Based on Covalent Organic Frameworks
Researchers at the Institute of Science Tokyo have developed a new material platform for non-volatile memories using covalent organic frameworks (COFs). This breakthrough allows for high-density data storage with improved thermal stability, opening new avenues for future memory technologies.

Non-volatile Memory


Insight

Development of Artificial Synapses for Next-Gen AI Chips
Dr. Eunho Lee from Seoul National University discusses his research on improving electrolyte-based organic transistors to create efficient artificial synapses. This innovation promises to enhance the energy efficiency of AI hardware, paving the way for adaptive learning systems in wearables and bio-interfaces.

Artificial Synapses


Stay tuned for more updates as we continue to cover the latest developments in the semiconductor industry and their implications for technology and innovation.

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