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Artificial Intelligence

Five Experts Address Trends in Artificial Intelligence and Machine Learning

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Over the summer of 2022, Wow AI, a global provider of high-quality AI training data based in New York City, invited a panel of experts from different industries and areas of expertise to share their insights into the current state of artificial intelligence and machine learning (AI/ML) and discuss the factors that have accelerated the recent adoption of AI in applications.

All the experts agreed that the past decade has been a Golden Age for AI, made possible by the affordable availability of AI services delivered from the cloud and the inexpensive power of graphics processing units designed to handle the types of transforms and calculations at the foundation of AI models.

However, they each have a unique perspective on different trends and issues as AI pervades society, continuously improving the human-machine interface and becoming more embedded in every aspect of our lives.

The Experts

  • David Von Dollen, former Head of AI at Volkswagen North America
  • Patrick Bangert, VP of Artificial Intelligence at Samsung SDS America
  • Noelle Silver, founder of the AI Leadership Institute, and Global Partner, AI & Analytics at IBM
  • Aravind Ganapathiraju, VP of Applied AI at Uniphore
  • Andreas Welsch, VP & Head of Market & Solution Management – Artificial Intelligence, SAP

The five experts will share more insights along with more than 20 other thought leaders in AI/ML recruited from Fortune 500 companies and organizations around the world such as Walt Disney, Deloitte, Microsoft, Oxford Brookes University, The US Department of Commerce and many others, during a two-day online discussion of contemporary AI and ML trends on September 29-30 hosted by Wow AI.

Welcome and thanks for joining. There are fears about an AI going out of control – such as Skynet or Hal 9000 or devices like Amazon Alexa or Google Assistant or Apple Siri. 75 years later, there is legislation pending at the state and federal levels to regulate AI and review algorithms for signs of bias or the perpetuation of old models that could deny a person equal opportunity. What is the risk the gains of the past ten years could be reversed or future developments hindered by fear, baseless conspiracy theories, or over-regulation?

Andreas: I think if we look at people and humanity as a whole, there has always been a fear of not being the pinnacle of evolution. You need to make sure that the people who are affected by the change are part of the process, that they are aware of why and how you want to introduce a piece of technology like AI, what the limitations are, and where it can help them become better and more effective.

Noelle:  There are more threatening devices than Alexa. The average smartphone has 50 applications trying to get permission to access our camera, microphone, and contacts. I’ve consistently been opposed to AI being applied to anything demographically oriented. […] Biases end up perpetuating bad behavior. Maybe the models need to be infused with some inclusivity.”

In the 1980s AI seemed to have potential in decision support systems but then it seemed to stall. Then, almost overnight it was in our cars, our phones, and our living rooms, to the point where we’re looking at autonomous vehicles, real-time meeting transcription, and in the case of Aravind’s company, Uniphore, analyzing customer interactions for tone and emotion. What happened that helped AI get over the hype that surrounded it in the past while delivering significant results after so many years of being ignored?

David Von DollenI would say two factors brought AI out of its “winter”. One was hardware – computing power primarily in the form of GPUs which have had a tremendous impact. The other factor is ongoing refinements to the underlying algorithms.

Patrick BangertThis renaissance of AI we are experiencing today is sometimes called the “Deep Learning Revolution.” Yes, some of it comes down to processing speed and we have the graphics processing units we didn’t have 30 years ago, but it’s not just about speed. Speed is mainly interesting and beneficial in the sense that it allows us to train much bigger models in the same amount of time. The second benefit is scientific. A lot of headway is being realized in deep learning due to the mathematics of AI gaining novel algorithms and modeling methods that are better than what we had in the 1980s.

Aravind GanapathirajuThe difference is accuracy. The first ASR system (automated speed recognition) had a 40%  error rate. On the same task today we are pushing a 5% error rate. I’m not saying it’s a solved problem, but it is indicative of the evolution that has happened over the last two decades.

Let’s talk about the role data has played in helping AI/ML deliver on its promises. Aside from strict laws governing the processing and storage of personal data and regulations to ensure data privacy, what should providers of AI-enabled products and services be thinking about when it comes to data?

Aravind:  One of the latest products we have released at Uniphone is “Q for Sales” which analyzes conversations not just by examining the tonal information in a call such as this one, but also by other visual cues. The fusion of different data types – from audio to text, from video to facial expressions – provides a call center person with valuable insights and nudges to gain a better outcome from the call.

Andreas WelschA byproduct of the early 2000s’ Big Data trends has been an influx of so many data points that it’s not possible for one individual or even a team of five or ten data scientists to analyze at the speed, scale, and quality needed to make decisions in business today. With the application of AI on the task, we’re able to detect these patterns in the data that allow you to automate certain parts of your business processes in a way that has never been possible before.

I also think, to Aravind’s point, that there are just so many more data pools available and now we have the tools to analyze them on a much larger scale than ever before.

Patrick BangertAt Samsung, we train all sorts of models. […] The role data plays across the company is driving AI systems to forecast how many people will buy a particular Samsung device, at which stores, and how to get inventory to those stores upon launch. Our internal data is the fuel for those forecasting systems, data unique to our business and our success.

Noelle SilverI think Web3 is really forcing people to rethink data and there’s an ethical shift between the collectors of data and the sources of that data. Companies like Apple distinguish themselves by popping up a little dialogue that asks “Do you want to share your real address or would you like us to mask it for you?” That translates in my mind to more responsibility on the part of the companies to be responsible, ethical stewards of their users’ data.

David Von DollenI focus a lot on what I call “narrow AI” – an algorithm that’s trained on a specific set of data to perform a specific task. That’s what a lot of our applications do today. It’s all pretty much pattern recognition but within narrowly defined constraints. I think those types of applications may turn out to be much more harmful than some sentient AI taking over in a Skynet situation.

To watch the full conversation with the experts who will be keynoting the Worldwide AI Webinar, please visit:

  • Samsung SDS’s VP of AI discusses User Data Collection and AI ethics in Healthcare: video
  • Uniphore’s VP of AI discusses The Latest AI Strategies and Future Innovations in Conversational AI: video
  • SAP’s VP of AI addresses the current acceptance levels of AI & the need for AI Literacy: video
  • IBM’s AI executive, founder of AI Leadership Institute on AI ethics and benefits: video
  • Volkswagen’s Former Head of AI on AGI audio

These five thought leaders and other experts from around the world will be taking your questions, and discussing the issues and opportunities in AI and ML applications, training models, and data sources, and other topics at Worldwide AI Webinar on September 29 and 30th.

Artificial Intelligence

Goodix Unveils New Ultrasonic Fingerprint Solution with vivo Flagship to Foster Widespread Adoption

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Goodix ultrasonic fingerprint sensor utilizes a proprietary CMOS sensor architecture and wafer-level acoustic processing to enhance accurate and fast authentication.The solution features an efficient design, easy integration, optimized processes, and cost effectiveness to drive the widespread commercial adoption of ultrasonic fingerprint technology.SHENZHEN, China, May 13, 2024 /PRNewswire/ — Goodix Technology announced today that its proprietary ultrasonic fingerprint solution makes its debut in the newly launched vivo X100 Ultra. This innovative solution features a unique architecture and proprietary algorithms that provide a seamless and secure unlocking experience for mobile devices. In collaboration with vivo, the solution achieves its first large-scale commercialization, marking a significant milestone in the widespread adoption of ultrasonic fingerprint technology.

As an industry pioneer in in-display fingerprint technology, Goodix keeps evolving in alignment with the latest display technical trends to elevate the authentication experience. Leveraging its proprietary CMOS sensor architecture and wafer-level acoustic processing, Goodix’s new ultrasonic fingerprint solution offers a higher signal-to-noise ratio (SNR), enabling clearer fingerprint images and fast recognition, even with wet or oily fingers. By acoustically sensing the unique features of users’ fingerprints, such as ridges and valleys, the solution significantly enhances the security of the authentication process.
The solution utilizes a low-voltage driving system to effectively reduce power consumption and simplifies hardware design to facilitate easier integration for mobile manufacturers. With its ultra-thin chip module, the solution delivers more design flexibility by providing additional space for key mobile components and allowing for a flexible unlocking area design to enhance user comfort.
In line with the mission of enriching lives through innovation, Goodix is dedicated to advancing the global adoption of ultrasonic fingerprints by optimizing supply chain processes, enhancing production efficiency and reliability, and reducing costs. Boasting a comprehensive lineup that includes capacitive fingerprint, optical in-display fingerprint, and ultrasonic fingerprint sensors, Goodix can now empower customers with a complete range of cutting-edge solutions that lead the industry.
“The surging demand for ultrasonic fingerprint sensors in mobile authentication is driven by the rapid evolution of the latest pol-less display technology,” emphasized Ms. Sandy Hu, President of Goodix. “Our dedication to customer-centric innovation, along with the utilization of our newly patented solutions, enables us to propel the progress and commercial scaling of ultrasonic fingerprint technology, ultimately enhancing the global mobile experience with greater intelligence and security.”
Moreover, vivo X100 Ultra and X100s series also feature an array of Goodix’s innovative solutions, including smart audio amplifiers, audio software, optical in-display fingerprint sensors and AMOLED touch solutions, offering users an unparalleled touch and audio experience. 
For more information, please visit Goodix website

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eGRC Market worth $34.5 billion by 2029 – Exclusive Report by MarketsandMarkets™

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CHICAGO, May 13, 2024 /PRNewswire/ — Deeper AI and machine learning integration for predictive analytics, the simplification of compliance activities, and improved cybersecurity risk management are where eGRC’s future lies. The market will remain dominated by cloud-based solutions because they provide scalable and intuitive user interfaces for thorough risk assessment and management in a variety of regulatory environments.

The eGRC Market size is projected to grow from USD 18.3 billion in 2024 to USD 34.5 billion by 2029 at a Compound Annual Growth Rate (CAGR) of 13.4% during the forecast period, according to a new report by MarketsandMarkets™.
Browse in-depth TOC on “eGRC Market”645 – Tables 61 – Figures412 – Pages
Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=1310
Scope of the Report
Report Metrics
Details
Market size available for years 
2018-2029
Base year considered 
2023
Forecast period 
2024–2029
Forecast units 
Value (USD Million/USD Billion) 
Segments Covered 
Offering, Deployment Mode, Organization Size, Solution Usage, Business Function, Vertical, and Region
Geographies covered 
North America, Europe, Asia Pacific, Middle East & Africa and Latin America
Companies covered 
Major vendors in the eGRC market include IBM (US), Microsoft (US), Oracle (US), SAP (Germany), SAS Institute (US), ServiceNow (US), Thomson Reuters (Canada), FIS (US), Wolters Kluwer (Netherlands), LexisNexis (US), Mphasis (India), MetricStream (US), Riskonnect (US), Navex Global (US), OneTrust (US), Mega International (France), LogicManager (US), Acuity Risk Management (UK), C&F SA (Poland), Allgress (US),  GlobalSuite Solutions (Spain), Onspring (US), Optimiso (US), Oxial (Switzerland), ReadiNow (Australia), SureCloud (UK), StandardFusion (Canada), Comensure (US), Dynamic GRC (Singapore), LogicGate (US), VComply (US), and SmartSuite (US).
The key driver for adopting eGRC solutions is an increase in stringent regulations, such as the EU AI Act, that aims to establish a comprehensive regulatory framework for AI and impact how organizations manage GRC with AI technology integrations. Organizations need to assess their AI models, understand the implications of the EU AI Act, and prepare for the changes it will bring to create a more secure and trustworthy AI environment. By aligning with the regulations of the EU AI Act, businesses can navigate the regulatory landscape effectively and leverage AI technology while safeguarding against risks and ensuring compliance with the updated rules.
Based on the offering, the solutions segment accounts for the highest market size during the forecast period.
The adoption of eGRC solutions has surged as organizations must manage complex regulatory requirements and mitigate diverse risks. These solutions provide a centralized platform to streamline governance processes, automate compliance tasks, and enhance risk visibility across the enterprise. Effective eGRC solution encompasses thorough data integration, advanced analytics, real-time monitoring, and strategic utilization of emerging technologies. These features provide organizations with the necessary resources for managing the intricate landscape of eGRC. Some companies offer dedicated eGRC solutions, such as compliance, risk, and audit management. These solutions are developed to cater to the specific needs of the BFSI, healthcare, IT & ITeS, government, and other verticals. Companies offering eGRC solutions include IBM LogicManager, MetricStream, Software AG, Wolters Kluwer, Diligent, IdeaGen, and SAI Global.
By deployment mode, the cloud segment will grow at the highest CAGR during the forecasted period.
Small and Medium-sized enterprises (SMEs) are increasingly adopting eGRC solutions deployed in the cloud due to several advantages. Cloud deployment offers scalability, flexibility, and cost-effectiveness, making it accessible to businesses without hefty upfront investments. These solutions streamline governance processes, enhance risk visibility, and simplify compliance management. With intuitive interfaces and subscription-based pricing models, eGRC cloud solutions empower SMEs to navigate regulatory landscapes while optimizing resource utilization efficiently.
By region, Europe is to grow at the highest CAGR during the forecast period.
Europe is expected to register high growth rates in the eGRC market. Emerging European markets, such as the UK, Germany, France, Italy, and Ireland, are expected to offer significant growth opportunities for the eGRC market. Increasing regulations and compliances, political uncertainty, unpredictable business environment, rise in network crimes, and advanced cyber and bot attacks have favored the growth of the eGRC market in the region, as it is helping the organizations effectively work on GRC programs.
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Top Companies in eGRC Market
IBM (US), Microsoft (US), Oracle (US), SAP (Germany), SAS Institute (US), ServiceNow (US), Thomson Reuters (Canada), FIS (US), Wolters Kluwer (Netherlands), LexisNexis (US), Mphasis (India), MetricStream (US), Riskonnect (US), Navex Global (US), OneTrust (US), Mega International (France), LogicManager (US), Acuity Risk Management (UK), C&F SA (Poland), Allgress (US),  GlobalSuite Solutions (Spain), Onspring (US), Optimiso (US), Oxial (Switzerland), ReadiNow (Australia), SureCloud (UK), StandardFusion (Canada), Comensure (US), Dynamic GRC (Singapore), LogicGate (US), VComply (US), and SmartSuite (US) are the key players and other players in the eGRC market.
Recent Development
In January 2024, Microsoft and Cognite extended their partnership to build an industrial data operations platform on Microsoft Fabric and Azure OpenAI Service. Integrated with Microsoft Purview, Fabric offers unified data governance tools, simplifying data management, monitoring, and security across diverse applications and platforms.In September 2023, the SAS Institute will deepen its collaboration with Microsoft to assist banks in effectively handling liquidity and interest rate risks. Their Asset and Liability Management (ALM) platform, fueled by Kamakura Risk Manager on Microsoft Azure, enables comprehensive risk management, capital allocation, and balance sheet optimization through multi-period, scenario-based simulation and valuation.In June 2022, Oracle updated its Governance, Risk, and Compliance Controls (GRCC). It provides a platform where two components run: Application Access Controls Governor (AACG). These components regulate access to duties assigned in business-management applications, such as Oracle E-Business Suite and PeopleSoft, and Enterprise Transaction Controls Governor (ETCG), which identifies business-application transactions posing an unacceptable risk.Inquire Before Buying@ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=1310
eGRC Market Advantages
By automating compliance processes, eGRC systems minimize errors and manual labor. This saves time and money by streamlining regulatory compliance procedures and guaranteeing conformity to norms and laws.Businesses can detect, evaluate, and manage risks in a comprehensive manner by using eGRC platforms, which offer a centralized view of hazards across the enterprise. This all-encompassing strategy strengthens decision-making and increases resistance to new challenges.eGRC solutions increase productivity and efficiency by combining separate governance, risk, and compliance processes into a single platform. Workflows can be streamlined, stakeholder participation can be facilitated, and tasks can be prioritized according to how they will affect corporate goals.eGRC solutions provide insights into risk exposure and compliance status through real-time monitoring and reporting capabilities. Proactive risk management, prompt decision-making, and successful stakeholder communication are made possible by this.By automating tedious operations, allocating resources optimally, and lowering the possibility of non-compliance fines, eGRC solutions assist in lowering compliance expenses. Organizations can save money over time by improving operational effectiveness and reducing risks.Scalability and adaptability are features that cloud-based eGRC platforms provide, enabling enterprises to adjust to shifting business needs and regulatory landscapes. Cloud deployments improve agility and resilience by facilitating quick implementation, smooth upgrades, and remote access to eGRC functions.Report Objectives
To describe and forecast the eGRC market by offering, deployment mode, organization size, solution usage, business function, vertical, and region from 2024 to 2029, and analyze the various macroeconomic and microeconomic factors that affect market growthTo analyze the subsegments of the market concerning individual growth trends, prospects, and contributions to the overall marketTo provide detailed information regarding major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the marketTo analyze the opportunities in the market for stakeholders and provide details of the competitive landscape for the major playersTo profile the key market players; provide a comparative analysis based on the business overviews, regional presence, product offerings, business strategies, and critical financials; and illustrate the market’s competitive landscape.To track and analyze the competitive developments, such as mergers and acquisitions, product developments, partnerships and collaborations, and research development (R&D) activities, in the marketBrowse Adjacent Markets: Information Security Market Research Reports & Consulting 
Related Reports:
Identity Threat Detection and Response (ITDR) Market – Global Forecast to 2029
Physical Security Information Management (PSIM) Market – Global Forecast to 2029
Operational Technology (OT) Security Market – Global Forecast to 2029
Perimeter Security Market – Global Forecast to 2029
Self-Sovereign Identity (SSI) Market – Global Forecast to 2029
About MarketsandMarkets™
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MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.
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The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.
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Breakthroughs in AI Chips and Image Recognition Propel Market Growth and Business Enhancements

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USA News Group CommentaryIssued on behalf of Scope AI Corp.
VANCOUVER, BC, May 13, 2024 /PRNewswire/ — USA News Group – The race to improve artificial intelligence (AI) is accelerating at breakneck speed, with China recently unveiling a new photon-powered neural network microchip that can run on a thousandth as much energy as common electron-powered chips. According to analysts at DataHorizzon Research the AI Chip Market is set for explosive growth of over 40.6% CAGR through to 2032. As new chips improve, so too do the ways we use the chips to enhance businesses through AI-powered deep machine learning and neural networks. In one aspect that’s consistently improving is AI-powered image recognition, which Research and Markets projects to grow at a CAGR of 16.1% towards US$98.6 billion by 2029. This portion of the AI revolution is being rapidly implemented and improved by developers including Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF), Ambarella, Inc. (NASDAQ: AMBA), Ceva, Inc. (NASDAQ: CEVA), Himax Technologies, Inc. (NASDAQ: HIMX), and Autodesk, Inc. (NASDAQ: ADSK).

As the capabilities of deep machine learning expand across various industries, Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF) has rebranded and broadened its market reach. The company now targets sectors such as advertising, gaming, and neural networks with its proprietary technology, GEM (General Enterprise Machine Learning). This advanced platform enables businesses to develop their own object detection and visual information systems, leveraging the power of complete neural networks. By integrating object visual recognition, Scope AI is enhancing the ability of companies to personalize ad content, create immersive gaming experiences, and utilize neural networks for diverse applications.
Recently, Scope announced new updates to GEM, enhancing its functionality for advertising firms to tailor ad content more effectively, enabling the gaming industry to offer more personalized gameplay experiences, and utilizing the power of neural networks for advanced applications. These updates significantly boost the platform’s utility in object visual recognition, allowing businesses to gain deeper insights and deliver more precise solutions. By leveraging advanced object detection and visual information systems, advertisers can better analyze consumer behavior and optimize campaigns, while game developers can create richer, more engaging user experiences.
“We’re very pleased at how seamless we were able to streamline, enhance, and strengthen our platform with the latest performance and security upgrades made to our infrastructure,” said Sean Prescott, Founder and Non-Executive Chairman of Scope. “The next generation of our platform will set us apart in what kind of data and its sensitivity we can process and store. It’s a potential game-changer for the industry.”
GEM comes with an intuitive web-interface, a developer, detail user, entrepreneur or full-on enterprise could easily set up an object detection system to run advanced data inference, or build a completely new, never before seen neural network model in real-time.
Scope AI is optimistic that GEM’s latest updates can significantly advance the advertising and gaming industries by offering new insights and capabilities. For advertising, Scope explains that GEM’s visual recognition technology allows advertisers to create highly targeted and engaging ads. This approach not only maximizes return on ad spend but also drives customer engagement to new heights.
In the gaming sector, Scope believes GEM can significantly enhance user experiences by customizing gameplay and recommendations through neural network analysis of player behavior. GEM provides developers with crucial insights aimed at optimizing game design, increasing user retention, and maximizing revenue potential.
Looking to further empower AI developers, Ambarella, Inc. (NASDAQ: AMBA) announced its leading-edge CooperTM Developer Platform earlier this year. The platform was designed to offer seamless integration of software, hardware, state-of-the-art fine-tuned AI models, and services that provide universal support for Ambarella’s entire portfolio of AI systems-on-chip (SoCs).
“Developers creating products based on the latest AI technologies are faced with the daunting challenge of integrating multiple software tools while deploying on diverse hardware platforms,” said Fermi Wang, President and CEO of Ambarella. “Our new unified, robust and scalable Cooper Developer Platform allows designers to easily take full advantage of our SoCs’ industry-leading AI performance per watt, via intuitive and comprehensive tools that abstract the hardware and enable them to focus on product innovation across multiple markets and applications.”
Through April, Ambarella continued expanding its AI SoC portfolio, adding the CV75S family of 5nm chips, which the company claims offers the most cost- and power-efficient SoC option for running the latest AI-based image processing like vision language models (VLMs) and vision transformer networks in security, robotics, conferencing, and sports cameras.
Aiding in enhancing the connectivity required for smooth implementation of AI platforms is Ceva, Inc. (NASDAQ: CEVA), which recently launched a family of multi-protocol IP for edge AI and the Internet of Things (IoT) with a 22nm radio configuration. Named the Ceva-Waves Links, the new family of multi-protocol IP supports WiFi6, Bluetooth, and Ultra-Widband (UWB) features optimized co-existence schemes and are adapted to various radios and configurations.
Earlier this year, Ceva also expanded its AI ecosystem for its class-leading NeuPro-M NPU IP with the addition of two new partnerships targeting automotive and vision-based Edge AI applications.
“I would like to extend a warm welcome to Visionary.ai and ENOT.ai, who join the ecosystem of partners that support our Smart Edge customer base,” said Ran Snir, Vice President and General Manager of the Vision Business Unit at Ceva. “These partners are bringing new levels of innovation to solve complex challenges using AI, and illustrate the value proposition of our NeuPro-M NPU to enable scalable AI workloads on-device with highest power efficiency.”
Display driver and other semiconductors products suppliers Himax Technologies, Inc. (NASDAQ: HIMX) recently announced a collaboration with E Ink Holdings Inc., a pioneer and distinguished leader in ePaper technology, to introduce a revolutionary ultralow power battery-operated smart retail solution. In the realm of smart signage, Himax WiseEye AI is now revolutionizing e-signage by incorporating E Ink’s Kaleido display and offering a versatile suite of always-on sensing AI capabilities, including human presence and individual detection.
“The partnership between Himax and E Ink marks a significant evolution from our years of collaboration in the e-reader industry, now venturing into the domain of e-signage and ESL,” said Mark Chen, Vice President of Smart Sensing business at Himax. “Leveraging E Ink’s versatile ePaper technologies and extensive industry reach, combined with Himax’s robust AI and ultralow power expertise, our goal is to redefine the possibilities of next-generation e-signage and ESL products, envisioning enhanced precision, privacy, and versatility.”
Used by designers and architects, a platform built by 3D software company Autodesk, Inc. (NASDAQ: ADSK) recently demonstrated the capabilities of an ambitious generative AI project called Project Bernini, a text-to-3D tool. Project Bernini can create 3D images from a variety of input types including a text prompt, a single 2D image, multiple images and/or point clouds.
In late April, Autodesk also announced an interoperability agreement with Nemetschek Group to improve open collaboration and efficiencies for the architecture, engineering, construction and operations (AECO) and media and entertainment (M&E) industries. The duo will work together to enhance existing interoperability between each company’s industry cloud and desktop products and to improve the fluent exchange of information across solutions.
“Autodesk is firmly committed to building open, integrated, cloud-powered solutions for our customers that unlock data and connect project teams,” said Amy Bunszel, Executive Vice President, Architecture, Engineering and Construction Solutions at Autodesk. “Extending Autodesk’s cloud and desktop solutions with Nemetschek interoperability is a huge step towards optimizing our customers’ workflows and helping them generate better project outcomes.”
Article Source: https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/ 
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