Tag: ML

Webinar: How to Leverage AI/ML to add Value to Physics-Based Simulation in the Chemical Process Sector

Webinar: How to Leverage AI/ML to add Value to Physics-Based Simulation in the Chemical Process Sector
by Admin on 01-20-2025 at 10:52 pm

Join this webinar to explore how Ansys AI/ML tools can enhance a variety of applications, including mixers and heat exchangers.

Date:
Monday, March 10, 2025

Time:
15:00 GMT | 16:00 CET | 11:00 EDT

Venue:
Online

Questions
Should you have any questions please contact uk-marketing@ansys.com

About this webinar

Computational

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Elevating AI with Cutting-Edge HBM4 Technology

Elevating AI with Cutting-Edge HBM4 Technology
by Kalar Rajendiran on 09-30-2024 at 10:00 am
Categories: 3D IC, AI, Alphawave Semi, IP

HBM4 Compute Chiplet Subsystem

Artificial intelligence (AI) and machine learning (ML) are evolving at an extraordinary pace, powering advancements across industries. As models grow larger and more sophisticated, they require vast amounts of data to be processed in real-time. This demand puts pressure on the underlying hardware infrastructure, particularly… Read More

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Driving Data Frontiers: High-Performance PCIe® and CXL® in Modern Infrastructures

Driving Data Frontiers: High-Performance PCIe® and CXL® in Modern Infrastructures
by Kalar Rajendiran on 06-10-2024 at 10:00 am
Categories: AI, Alphawave Semi, IP

Alphawave Ecosystem Collaborative Partners

The increasing demands of data-intensive applications necessitate more efficient storage and memory utilization. The rapid evolution of AI workloads, particularly with Generative AI (GenAI), demands infrastructure that can adapt to diverse computational needs. AI models vary widely in resource requirements, necessitating… Read More

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AI and SPICE Circuit Simulation Applications

AI and SPICE Circuit Simulation Applications
by Daniel Payne on 01-24-2024 at 10:00 am
Categories: EDA, Siemens EDA

Figure 1 min

Can you name the EDA vendor that first used AI starting 15 years ago for circuit designers using SPICE simulators? I can remember that vendor, it was Solido, now part of Siemens EDA, and I just read their 8 page paper on how they look at the various levels of AI being used in EDA to help IC designers work smarter and faster than using manual… Read More

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proteanTecs On-Chip Monitoring and Deep Data Analytics System

proteanTecs On-Chip Monitoring and Deep Data Analytics System
by Kalar Rajendiran on 10-05-2023 at 10:00 am
Categories: Analytics, proteanTecs

On chip monitoring and analytics platform

State-of-the-art electronics demand high performance, low power consumption, small footprint and high reliability from their semiconductor products. While this imperative is true across many different market segments, it is critical for applications such as the automotive/autonomous driving and data centers. As electronic… Read More

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Using ML for Statistical Circuit Verification

Using ML for Statistical Circuit Verification
by Daniel Payne on 05-03-2023 at 10:00 am
Categories: EDA, Events, Siemens EDA

6 sigma samples statistical circuit

I’ve been following Solido as a start-up EDA vendor since 2005, then they were acquired by Siemens in 2017. At the recent User2User event there was a presentation by Kwonchil Kang, of Samsung Electronics on the topic, ML-enabled Statistical Circuit Verification Methodology using Solido. For high reliability circuits… Read More

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Quadric’s Chimera GPNPU IP Blends NPU and DSP to Create a New Category of Hybrid SoC Processor

Quadric’s Chimera GPNPU IP Blends NPU and DSP to Create a New Category of Hybrid SoC Processor
by Kalar Rajendiran on 11-01-2022 at 10:00 am
Categories: AI, IP, Quadric

Memory Optimization Equals Power Minimization

Performance, Power and Area (PPA) are the commonly touted metrics in the semiconductor industry placing PPA among the most widely used acronyms relating to chip development. And rightly so as these three metrics greatly impact all electronic products that are developed. The degree of impact depends of course on the specific … Read More

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Machine Learning Applications in Simulation

Machine Learning Applications in Simulation
by Daniel Nenni on 10-27-2022 at 6:00 am
Categories: Cadence, EDA

Xcelium ML min

Machine learning (ML) is finding its way into many of the tools in silicon design flows, to shorten run times and improve the quality of results. Logic simulation seemed an obvious target for ML, though resisted apparent benefits for a while. I suspect this was because we all assumed the obvious application should be to use ML to refine… Read More