Wednesday, September 27, 2023

#AI and its Role in #EDA Tools – #Stocks to Watch (OTC: $GTCH) (NASDAQ: $SNPS) (NASDAQ: $GOOG) (NASDAQ: $CDNS) @gbtt_inc @Synopsys @Google @Cadence

#AI and its Role in #EDA Tools – #Stocks to Watch (OTC: $GTCH) (NASDAQ: $SNPS) (NASDAQ: $GOOG) (NASDAQ: $CDNS) @gbtt_inc @Synopsys @Google @Cadence

 

September 27, 2023 - Investorideas.com (www.investorideas.com), a global investor news source covering tech stocks releases a special news report on how AI is the future evolution of  Electronic Design Automation (EDA) tools, featuring a tech innovator building a growing IP portfolio in the sector, GBT Technologies Inc. (OTC PINK:GTCH).

 

Read this in full at https://www.investorideas.com/news/2023/technology/09271AI-in-EDA-Tools.asp

 

According to allaboutcircuits.com,”For years, EDA companies have claimed “artificial intelligence” features in their IC design tools. In the past year, however, generative AI has undergone a dramatic evolution with platforms like ChatGPT, causing some designers to question whether previous EDA features still count as AI by today's standards.”

 

So what is the new standard for AI in EDA?

 

GBT Technologies Inc. (OTC PINK:GTCH) CTO, Danny Rittman, discussing the issue told Investor Ideas, “Indeed the dominant EDA companies like Synopsis, Cadence, Siemens invested lots into AI in the past decade, yet, the solutions that they provide are not sufficient as the industry struggles to design microchips in an affordable time frames. Projects are delayed, taking way longer than planned and there is a real need for an AI breakthrough.” 

 

Rittman recently published a paper on the topic titled, ‘A Qualitative Study that Explores the Implementation of Artificial Intelligence in Integrated Circuit Design’ https://www.proquest.com/docview/2860456194

 

Excerpt: “Reports of the early stages of IC chips designed by artificially intelligent aided by deep neural network learning have appeared recently (Dinu & Ogrutan, 2019). Over the last decade, there has been significant growth in the integration of AI technologies within Electronic Design Automation (EDA) tools. AI has played a pivotal role in enhancing various aspects of EDA, such as design automation, optimization, verification, and physical design (Todorov & Dabral, 2020). Typical AI techniques used in the EDA field include machine learning (ML), deep learning, genetic algorithms, natural language processing (NLP), and reinforcement learning.”

 

Regarding its EDA technology, GBT Technologies Inc. (OTC PINK:GTCH) recently announced it has received a grant notification for its microchip’s reliability verification and auto-correction EDA patent application, internal project’s code name, Epsilon. The patent will be granted as U.S. Patent No. 11,763,062 on September 19, 2023. GBT’s Epsilon patent application covers the innovative technology to address advanced semiconductor node physics with the goal of ensuring a high level of reliability, optimal thermal design, lower power consumption and high performance. The described technology includes machine learning algorithms to enable robust design, process optimization, characterization, modeling, and simulation. The technology underlying the patent identifies reliability flaws, describes the found issues, and allows an automatic correction of these reliability issues early during the IC’s design phase. Machine Learning techniques will be performing data analysis, identification, categorization, and reasoning about executing the optimal IC layout automatic correction. The technology aims to allow IC designers to analyze and fix circuits early during the design phase in real time with the goal of creating higher efficiencies. GBT plans to continue its R&D efforts in this domain, inventing modern technologies and enabling reliable, low-power, high-performance, next-generation microchips.

 

“We are excited to share that our Epsilon patent has been granted. This patent aims to perform an early electrical and power analysis of a microchip during the design phase. The goal is to identify potential failures and provide solutions as early detection and elimination of reliability issues can save a significant amount of time in engineering redesign. The technology is planned to be powered by GBT's machine learning algorithms for pattern recognition and vast data analysis, especially for advanced manufacturing nodes like 3nm and below.

 

"Today's advanced nanometer nodes require analysis and addressing of reliability parameters to mitigate risks of system degradation, overheating and possible malfunctions. As IC's manufacturing nodes are constantly scaling down, layout electrical characteristics analysis is becoming a much more complex and time-consuming process, addressing challenging physics phenomenon. Our Epsilon patent is an intelligent design productivity enhancement EDA software solution that analyzes, detects, and eliminates electrical reliability issues on-the-fly. Its goal is to enable chip designers to keep their hands on the pulse of the entire microchip's reliability, power management, thermal behavior and overall performance.

 

"Microchip reliability is a complex and evolving field. As such, we plan to continue our ongoing research and development efforts to address emerging challenges associated with shrinking nanometer-scale technologies. Additionally, we plan to file a continuation for this technology, with the goal of further broadening and protecting our intellectual "property” stated Danny Rittman, the Company’s CTO.

 

Synopsys (Nasdaq:SNPS), a global leader in electronic design automation (EDA) and semiconductor IP announced earlier this month,  the extension of its Synopsys.ai™ full-stack EDA suite with a comprehensive AI-driven data analytics continuum for every stage of integrated circuit (IC) chip development. The Synopsys EDA Data Analytics solution is the first of its kind in the semiconductor industry to provide AI-driven insight and optimization to drive improvements across exploration, design, manufacturing, and testing processes. The solution combines the latest advances in AI to curate and operationalize magnitudes of heterogenous, multi-domain data to accelerate root-cause analysis and achieve greater design productivity, manufacturing efficiency, and test quality.

 

From the news: The AI-driven Synopsys EDA Data Analytics (.da) solution includes:

 

Synopsys Design.da to perform deep analysis of data from Synopsys.ai design execution, providing chip designers with comprehensive visibility and actionable design insights to uncover power, performance, and area (PPA) opportunities.

 

Synopsys Fab.da to store and analyze large streams of fab equipment process control data that increase operational efficiencies and maximize product quality and fab yield.

 

Synopsys Silicon.da to collect petabytes of silicon monitor, diagnostic, and production test data from test equipment to improve chip production metrics, such as quality, yield, and throughput and silicon operation metrics, such as chip power and performance.

 

From the news: “As IC complexity grows and market windows shrink, the semiconductor industry is increasingly adopting artificial intelligence technologies to enhance the quality of results (QoR), speed verification and testing, improve fab yield, and boost productivity across multiple domains spanning the entire IC design flow,” said Sanjay Bali, Vice President of Strategy and Product Management for the EDA Group at Synopsys. “With the new data analytics capabilities within the Synopsys.ai EDA suite, companies can now aggregate and leverage data across every layer of the EDA stack from architecture exploration, design, test, and manufacturing to drive improvements in PPA, yield, and engineering productivity.”

 

Discussing this, allaboutcircuits.com said, “Synopsys aims to keep pace with this accelerating field by unveiling a new extension to its Synopsys.ai EDA suite. This announcement follows the release of Google’s (NASDAQ: GOOG) DeepMind, which uses AI to accelerate its in-house chip designs. Both of these announcements indicate how advanced machine learning algorithms are shaping IC development and how they might be used as a tool for designers in such fields.”

 

Cadence Design Systems, Inc. (Nasdaq: CDNS), describing its innovation in AI says, “The Cadence Joint Enterprise Data and AI (JedAI) Platform is able to harness this rich lode of EDA data in an open, artificial intelligence (AI)-driven, large-scale data analytics environment, allowing engineering teams to visualize the data, uncover hidden data trends, and automatically generate design improvement strategies leading to improved design performance and engineering productivity.”

 

“With the Cadence JedAI Platform, Cadence unifies its computational software innovations in data and AI across Verisium AI-Driven Verification, Cadence Cerebrus Intelligent Chip Explorer’s AI-driven implementation, and Optimality Intelligent System Explorer’s AI-driven system analysis, enabling a generational shift from single-run, single-engine algorithms in electronic design automation (EDA) to leveraging big data and AI to optimize multiple runs of multiple engines across an entire SoC design and verification flow.”

 

Electronic Design recently reported, “Skilled engineers remain the driving force for innovation in chips. But it’s no secret that electronic design automation (EDA) companies are folding AI into more of their offerings to speed up design and verification.”

 

“But as industry insiders tell it, these AI-powered EDA tools don’t have enough intelligence to actually replace human designers anytime soon. Instead, the biggest difference these tools are having is on the productivity front, with AI reducing the number of hours that engineers spend on the more tedious phases of the design and verification process,” said Amit Gupta, VP and GM of Siemens Digital Industries Software's custom IC verification division.”

 

“Specifically, three main types of AI are becoming prevalent in the world of EDA. The most mature are what he calls “adaptive AI,” which enhances existing EDA processes to cut down on manual labor, and “additive AI,” which learns over time to save engineers from repetitive work. Further along on the roadmap is “assistive” AI. It can pinpoint weak points that can negatively impact the chip design’s performance and then figure out the root cause.”

 

For investors following the sector, the AI implementation for EDA is still evolving and the next chapter will represent untapped potential for those willing to bet on the revolution.

 

Investors following AI stocks can use the free AI stock directory at Investor Ideas

https://www.investorideas.com/TSS/Stock_List.asp#Robotics

 

About Investorideas.com - Big Investing Ideas

Investorideas.com is a platform for investing ideas. We publish breaking stock news, stock research, guest posts and create original top rated investing podcasts, plus sector tag articles featuring up and coming companies and industry leaders.  Investor Idea’s original branded content includes the Crypto Corner Podcast , Play by Play Sports Podcast , Cannabis News and Stocks on the Move Podcast ,  Cleantech and Climate Change Podcast,  Exploring Mining Podcast , Betting on Gaming Stocks Podcast and the AI Eye Podcast.  We also create free investor stock directories for AI and tech, biotech, cannabis, cleantech, crypto, defense, gaming, health and wellness, mining, oil and gas, sports and water.

Public companies within the sectors we cover can use our news publishing and content creation services to help tell their story to interested investors.

 

Disclaimer/Disclosure: Investorideas.com is a digital publisher of third party sourced news, articles and equity research as well as creates original content, including video, interviews and articles. Original content created by investorideas is protected by copyright laws other than syndication rights. Our site does not make recommendations for purchases or sale of stocks, services or products. Nothing on our sites should be construed as an offer or solicitation to buy or sell products or securities. All investing involves risk and possible losses. This site is currently compensated for news publication and distribution, social media and marketing, content creation and more. Disclosure is posted for each compensated news release, content published /created if required but otherwise the news was not compensated for and was published for the sole interest of our readers and followers. Contact management and IR of each company directly regarding specific questions. Disclosure: GTCH is a paid featured monthly AI stock on Investorideas.com More disclaimer info: https://www.investorideas.com/About/Disclaimer.asp Learn more about publishing your news release and our other news services on the Investorideas.com newswire https://www.investorideas.com/News-Upload/ Global investors must adhere to regulations of each country. Please read Investorideas.com privacy policy: https://www.investorideas.com/About/Private_Policy.asp

 

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Tuesday, September 26, 2023

The #AIEye #Podcast: Watching #AI Breaking News (NasdaqGS: $AMZN) (NYSE: $GETY)



 

 

The #AIEye #Podcast: Watching #AI Breaking News (NasdaqGS: $AMZN) (NYSE: $GETY)

 

Amazon Collaborating with Anthropic, and Getty Images Announces Generative AI Service

 

Global #AutonomousAI and Autonomous Agents Market to Reach $28.5B by 2028

 

September 26, 2023  – Investorideas.com, a global investor news source covering Artificial Intelligence (AI) stocks and industry news brings you today’s edition of The AI Eye Podcast; watching AI breaking news.

 

Today’s  podcast is sponsored by Fintech Company AppTech Payments Corp. (NasdaqCM:APCX).

 

Listen to today’s podcast:

https://www.investorideas.com/Audio/Podcasts/2023/092623-AI-Eye.mp3

 

Read this in full at https://www.investorideas.com/news/2023/artificial-intelligence/09261AMZN-GETY.asp

 

Hear the Ai Eye on Spotify  

 

Today’s Column- The AI Eye- Watching stock news, deal tracker and advancements in artificial intelligence

 

Stocks discussed: (NasdaqGS:AMZN) (NYSE:GETY)

 

Amazon (NasdaqGS:AMZN) has announced a strategic collaboration with AI safety and research firm Anthropic for a safer generative artificial intelligence (AI) to accelerate the development of the latter’s future foundation models and make them widely accessible to AWS (Amazon Web Services) customers. Dario Amodei, co-founder and CEO of Anthropic, explained:

 

"We are excited to use AWS’s Trainium chips to develop future foundation models. Since announcing our support of Amazon Bedrock in April, Claude has seen significant organic adoption from AWS customers. By significantly expanding our partnership, we can unlock new possibilities for organizations of all sizes, as they deploy Anthropic’s safe, state-of-the-art AI systems together with AWS’s leading cloud technology."

 

Getty Images Holdings, Inc. (NYSE:GETY) has announced the launch of Generative AI by Getty Images, described as “a new tool that pairs the company’s best-in-class creative content with the latest AI technology for a commercially safe generative AI tool.” According to the press release, the new services was “trained on the state-of-the-art Edify model architecture, which is part of NVIDIA Picasso, a foundry for generative AI models for visual design.” Grant Farhall, Chief Product Officer at Getty Images, explained:

 

“We’ve listened to customers about the swift growth of generative AI – and have heard both excitement and hesitation – and tried to be intentional around how we developed our own tool. We’ve created a service that allows brands and marketers to safely embrace AI and stretch their creative possibilities, while compensating creators for inclusion of their visuals in the underlying training sets.”

 

 

Global Autonomous AI and Autonomous Agents Market to Reach $28.5B by 2028

 

A report published by Markets and Markets finds that the global market for Autonomous AI and Autonomous Agents is projected to grow from $4.8 billion USD in 2023 to about $28.5 billion by 2028, registering a compound annual growth rate (CAGR) of 43 percent in the forecast period. The following excerpt from the report overview outlines some key factors influencing the market’s growth:

 

One significant driver for the rise of autonomous AI and agents is the increasing number of AI applications across diverse domains. From healthcare and finance to transportation and manufacturing, AI is being employed to solve complex problems and optimize processes. These applications leverage advanced algorithms, machine learning, and data analysis techniques to extract valuable insights and automate decision-making. As the demand for efficient and intelligent solutions grow, so does the need for autonomous AI systems and agents that can adapt and operate independently without constant human intervention.

 

Sam Mowers, Investorideas.com

 

Read and hear other editions of the AI  Eye

 

For a list of artificial intelligence stocks on Investorideas.com visit here

 

Podcast sponsor


AppTech Payments Corp. (NasdaqCM:APCX) is an innovative Fintech company whose mission is to deliver a better way for businesses to provide their customers with immersive commerce experiences. Commerse™, its all-new, patent-backed technology platform powering seamless omni-channel Commerce Experiences-as-a-Service (CXS), drives highly secure, scalable, cross-border digital banking, text-to-pay, crypto payments and merchant services altogether from a single, unified stack designed to increase operational efficiencies and growth for businesses while providing the economic convenience that their customers demand from today’s commerce experiences. For more information, visit apptechcorp.com.

 

About Investorideas.com - Big Investing Ideas

Investorideas.com is a platform for investing ideas. We publish breaking stock news, stock research, guest posts and create original top rated investing podcasts, plus sector tag articles featuring up and coming companies and industry leaders.  Investor Idea’s original branded content includes the Crypto Corner Podcast , Play by Play Sports Podcast , Cannabis News and Stocks on the Move Podcast ,  Cleantech and Climate Change Podcast,  Exploring Mining Podcast , Betting on Gaming Stocks Podcast and the AI Eye Podcast.  We also create free investor stock directories for AI and tech, biotech, cannabis, cleantech, crypto, defense, gaming, health and wellness, mining, oil and gas, sports and water.

Public companies within the sectors we cover can use our news publishing and content creation services to help tell their story to interested investors.

 

The Investorideas.com podcasts are also available on Apple Podcasts ,  Audible , Spotify, Tunein, Stitcher, Spreaker.com, iHeartRadio, Google Podcasts  and most audio platforms available.

Visit the Podcast page at Investorideas.com: https://www.investorideas.com/Audio/

 

Disclaimer/Disclosure: Investorideas.com is a digital publisher of third party sourced news, articles and equity research as well as creates original content, including video, interviews and articles. Original content created by investorideas is protected by copyright laws other than syndication rights. Our site does not make recommendations for purchases or sale of stocks, services or products. Nothing on our sites should be construed as an offer or solicitation to buy or sell products or securities. All investing involves risk and possible losses. This site is currently compensated for news publication and distribution, social media and marketing, content creation and more. Disclosure is posted for each compensated news release, content published /created if required but otherwise the news was not compensated for and was published for the sole interest of our readers and followers. Contact management and IR of each company directly regarding specific questions. More disclaimer info: https://www.investorideas.com/About/Disclaimer.asp Learn more about publishing your news release and our other news services on the Investorideas.com newswire https://www.investorideas.com/News-Upload/ Global investors must adhere to regulations of each country. Please read Investorideas.com privacy policy: https://www.investorideas.com/About/Private_Policy.asp Disclosure: podcast sponsor AppTech Payments Corp. (NasdaqCM:APCX) is a paid featured Fintech company on Investorideas.com.

 

The AI Eye-  Watching stock news, deal tracker and  advancements in artificial intelligence is an original content brand of Investorideas.com

 

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#AI and the Evolution of #EDA (OTC: $GTCH) (NASDAQ: $SNPS) (NASDAQ: $GOOG) (NASDAQ: $CDNS) @gbtt_inc @Synopsys @Google @Cadence

 

 

#AI and the Evolution of #EDA (OTC: $GTCH) (NASDAQ: $SNPS) (NASDAQ: $GOOG) (NASDAQ: $CDNS) @gbtt_inc @Synopsys @Google @Cadence

 


September 26, 2023 - Investorideas.com (www.investorideas.com), a global investor news source covering tech stocks releases a special news report on how AI is the future evolution of  Electronic Design Automation (EDA) tools, featuring a tech innovator building a growing IP portfolio in the sector, GBT Technologies Inc. (OTC PINK:GTCH).

 

Read this in full at https://www.investorideas.com/news/2023/technology/09261AI-Electronic-Design-Automation.asp

 

According to allaboutcircuits.com,”For years, EDA companies have claimed “artificial intelligence” features in their IC design tools. In the past year, however, generative AI has undergone a dramatic evolution with platforms like ChatGPT, causing some designers to question whether previous EDA features still count as AI by today's standards.”

 

So what is the new standard for AI in EDA?

 

GBT Technologies Inc. (OTC PINK:GTCH) CTO, Danny Rittman, discussing the issue told Investor Ideas, “Indeed the dominant EDA companies like Synopsis, Cadence, Siemens invested lots into AI in the past decade, yet, the solutions that they provide are not sufficient as the industry struggles to design microchips in an affordable time frames. Projects are delayed, taking way longer than planned and there is a real need for an AI breakthrough.” 

 

Rittman recently published a paper on the topic titled, ‘A Qualitative Study that Explores the Implementation of Artificial Intelligence in Integrated Circuit Design’ https://www.proquest.com/docview/2860456194

 

Excerpt: “Reports of the early stages of IC chips designed by artificially intelligent aided by deep neural network learning have appeared recently (Dinu & Ogrutan, 2019). Over the last decade, there has been significant growth in the integration of AI technologies within Electronic Design Automation (EDA) tools. AI has played a pivotal role in enhancing various aspects of EDA, such as design automation, optimization, verification, and physical design (Todorov & Dabral, 2020). Typical AI techniques used in the EDA field include machine learning (ML), deep learning, genetic algorithms, natural language processing (NLP), and reinforcement learning.”

 

Regarding its EDA technology, GBT Technologies Inc. (OTC PINK:GTCHrecently announced it has received a grant notification for its microchip’s reliability verification and auto-correction EDA patent application, internal project’s code name, Epsilon. The patent will be granted as U.S. Patent No. 11,763,062 on September 19, 2023. GBT’s Epsilon patent application covers the innovative technology to address advanced semiconductor node physics with the goal of ensuring a high level of reliability, optimal thermal design, lower power consumption and high performance. The described technology includes machine learning algorithms to enable robust design, process optimization, characterization, modeling, and simulation. The technology underlying the patent identifies reliability flaws, describes the found issues, and allows an automatic correction of these reliability issues early during the IC’s design phase. Machine Learning techniques will be performing data analysis, identification, categorization, and reasoning about executing the optimal IC layout automatic correction. The technology aims to allow IC designers to analyze and fix circuits early during the design phase in real time with the goal of creating higher efficiencies. GBT plans to continue its R&D efforts in this domain, inventing modern technologies and enabling reliable, low-power, high-performance, next-generation microchips.

 

“We are excited to share that our Epsilon patent has been granted. This patent aims to perform an early electrical and power analysis of a microchip during the design phase. The goal is to identify potential failures and provide solutions as early detection and elimination of reliability issues can save a significant amount of time in engineering redesign. The technology is planned to be powered by GBT's machine learning algorithms for pattern recognition and vast data analysis, especially for advanced manufacturing nodes like 3nm and below.

 

"Today's advanced nanometer nodes require analysis and addressing of reliability parameters to mitigate risks of system degradation, overheating and possible malfunctions. As IC's manufacturing nodes are constantly scaling down, layout electrical characteristics analysis is becoming a much more complex and time-consuming process, addressing challenging physics phenomenon. Our Epsilon patent is an intelligent design productivity enhancement EDA software solution that analyzes, detects, and eliminates electrical reliability issues on-the-fly. Its goal is to enable chip designers to keep their hands on the pulse of the entire microchip's reliability, power management, thermal behavior and overall performance.

 

"Microchip reliability is a complex and evolving field. As such, we plan to continue our ongoing research and development efforts to address emerging challenges associated with shrinking nanometer-scale technologies. Additionally, we plan to file a continuation for this technology, with the goal of further broadening and protecting our intellectual "property” stated Danny Rittman, the Company’s CTO.

 

Synopsys (Nasdaq:SNPS), a global leader in electronic design automation (EDA) and semiconductor IP announced earlier this month,  the extension of its Synopsys.ai™ full-stack EDA suite with a comprehensive AI-driven data analytics continuum for every stage of integrated circuit (IC) chip development. The Synopsys EDA Data Analytics solution is the first of its kind in the semiconductor industry to provide AI-driven insight and optimization to drive improvements across exploration, design, manufacturing, and testing processes. The solution combines the latest advances in AI to curate and operationalize magnitudes of heterogenous, multi-domain data to accelerate root-cause analysis and achieve greater design productivity, manufacturing efficiency, and test quality.

 

From the news: The AI-driven Synopsys EDA Data Analytics (.da) solution includes:

 

Synopsys Design.da to perform deep analysis of data from Synopsys.ai design execution, providing chip designers with comprehensive visibility and actionable design insights to uncover power, performance, and area (PPA) opportunities.

 

Synopsys Fab.da to store and analyze large streams of fab equipment process control data that increase operational efficiencies and maximize product quality and fab yield.

 

Synopsys Silicon.da to collect petabytes of silicon monitor, diagnostic, and production test data from test equipment to improve chip production metrics, such as quality, yield, and throughput and silicon operation metrics, such as chip power and performance.

 

From the news: “As IC complexity grows and market windows shrink, the semiconductor industry is increasingly adopting artificial intelligence technologies to enhance the quality of results (QoR), speed verification and testing, improve fab yield, and boost productivity across multiple domains spanning the entire IC design flow,” said Sanjay Bali, Vice President of Strategy and Product Management for the EDA Group at Synopsys. “With the new data analytics capabilities within the Synopsys.ai EDA suite, companies can now aggregate and leverage data across every layer of the EDA stack from architecture exploration, design, test, and manufacturing to drive improvements in PPA, yield, and engineering productivity.”

 

Discussing this, allaboutcircuits.com said, “Synopsys aims to keep pace with this accelerating field by unveiling a new extension to its Synopsys.ai EDA suite. This announcement follows the release of Google’s (NASDAQ: GOOG) DeepMind, which uses AI to accelerate its in-house chip designs. Both of these announcements indicate how advanced machine learning algorithms are shaping IC development and how they might be used as a tool for designers in such fields.”

 

Cadence Design Systems, Inc. (Nasdaq: CDNS), describing its innovation in AI says, “The Cadence Joint Enterprise Data and AI (JedAI) Platform is able to harness this rich lode of EDA data in an open, artificial intelligence (AI)-driven, large-scale data analytics environment, allowing engineering teams to visualize the data, uncover hidden data trends, and automatically generate design improvement strategies leading to improved design performance and engineering productivity.”

 

“With the Cadence JedAI Platform, Cadence unifies its computational software innovations in data and AI across Verisium AI-Driven Verification, Cadence Cerebrus Intelligent Chip Explorer’s AI-driven implementation, and Optimality Intelligent System Explorer’s AI-driven system analysis, enabling a generational shift from single-run, single-engine algorithms in electronic design automation (EDA) to leveraging big data and AI to optimize multiple runs of multiple engines across an entire SoC design and verification flow.”

 

Electronic Design recently reported, “Skilled engineers remain the driving force for innovation in chips. But it’s no secret that electronic design automation (EDA) companies are folding AI into more of their offerings to speed up design and verification.”

 

“But as industry insiders tell it, these AI-powered EDA tools don’t have enough intelligence to actually replace human designers anytime soon. Instead, the biggest difference these tools are having is on the productivity front, with AI reducing the number of hours that engineers spend on the more tedious phases of the design and verification process,” said Amit Gupta, VP and GM of Siemens Digital Industries Software's custom IC verification division.”

 

“Specifically, three main types of AI are becoming prevalent in the world of EDA. The most mature are what he calls “adaptive AI,” which enhances existing EDA processes to cut down on manual labor, and “additive AI,” which learns over time to save engineers from repetitive work. Further along on the roadmap is “assistive” AI. It can pinpoint weak points that can negatively impact the chip design’s performance and then figure out the root cause.”

 

For investors following the sector, the AI implementation for EDA is still evolving and the next chapter will represent untapped potential for those willing to bet on the revolution.

 

Investors following AI stocks can use the free AI stock directory at Investor Ideas

https://www.investorideas.com/TSS/Stock_List.asp#Robotics

 

About Investorideas.com - Big Investing Ideas

Investorideas.com is a platform for investing ideas. We publish breaking stock news, stock research, guest posts and create original top rated investing podcasts, plus sector tag articles featuring up and coming companies and industry leaders.  Investor Idea’s original branded content includes the Crypto Corner Podcast , Play by Play Sports Podcast , Cannabis News and Stocks on the Move Podcast ,  Cleantech and Climate Change Podcast,  Exploring Mining Podcast , Betting on Gaming Stocks Podcast and the AI Eye Podcast.  We also create free investor stock directories for AI and tech, biotech, cannabis, cleantech, crypto, defense, gaming, health and wellness, mining, oil and gas, sports and water.

Public companies within the sectors we cover can use our news publishing and content creation services to help tell their story to interested investors.

 

Disclaimer/Disclosure: Investorideas.com is a digital publisher of third party sourced news, articles and equity research as well as creates original content, including video, interviews and articles. Original content created by investorideas is protected by copyright laws other than syndication rights. Our site does not make recommendations for purchases or sale of stocks, services or products. Nothing on our sites should be construed as an offer or solicitation to buy or sell products or securities. All investing involves risk and possible losses. This site is currently compensated for news publication and distribution, social media and marketing, content creation and more. Disclosure is posted for each compensated news release, content published /created if required but otherwise the news was not compensated for and was published for the sole interest of our readers and followers. Contact management and IR of each company directly regarding specific questions. Disclosure: GTCH is a paid featured monthly AI stock on Investorideas.com More disclaimer info: https://www.investorideas.com/About/Disclaimer.asp Learn more about publishing your news release and our other news services on the Investorideas.com newswire https://www.investorideas.com/News-Upload/ Global investors must adhere to regulations of each country. Please read Investorideas.com privacy policy: https://www.investorideas.com/About/Private_Policy.asp

 

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