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Artificial Intelligence (AI) Chipsets Market: Surge in Inference Applications Drives 37.1% CAGR by 2031 | SkyQuest Technology

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WESTFORD, Mass., July 10, 2024 /PRNewswire/ — According to SkyQuest, the global Artificial Intelligence (AI) Chipsets Market size was valued at USD 15.36 billion in 2022 and is poised to grow from USD 21.05 billion in 2023 to USD 262.78 billion by 2031, growing at a CAGR of 37.1% during the forecast period (2024-2031).

The market is driven by increased data availability and the need for more computing power. The increasing adoption of autonomous vehicles and parallel computing in AI data centers is driving the increase in the use of chipsets and other. AI technologies in these industries. AI is becoming an integral part of consumer electronics, including everything. Along with this growth in the semiconductor industry comes new opportunities. The ability to handle increasing amounts of data is a key factor in growing the market size of AI chipsets. Artificial intelligence (AI) is creeping into almost every aspect of consumer electronics. Its usage is increasing beyond mobile phones along with the automotive industry.

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Artificial Intelligence (AI) Chipsets Market Overview:

Report Coverage

Details

Market Revenue in 2023

USD 21.05 Billion

Estimated Value by 2031

USD 262.78 Billion

Growth Rate

Poised to grow at a CAGR of 37.1%

Forecast Period

2024–2031

Forecast Units

Value (USD Billion)

Report Coverage

Revenue Forecast, Competitive Landscape, Growth Factors, and Trends

Segments Covered

Hardware, Computing Technology, Technology, End User and Function

Geographies Covered

North America, Europe, Asia Pacific, Middle East & Africa, Latin America

Report Highlights

Updated financial information / product portfolio of players

Key Market Opportunities

Product Innovations in AI Chipsets Market Shaping the Future

Key Market Drivers

Growing Demand for Autonomous Vehicles

Segments covered in Artificial Intelligence (AI) Chipsets Market are as follows:

HardwareProcessor (Graphic Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC), Field Programmable Array (FPGA), Central Processing Unit (CPU), Digital Signal Processor (DSP), Microcontroller (MCU)), Memory, Network (Interconnects and Ethernet Adapters)Computing TechnologyEdge AI Computing, Cloud AI ComputingTechnologyMachine Learning (Deep learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning, and others), Natural Language Processing, Context-Aware Computing, Computer Vision, Predictive AnalysisEnd-UserConsumer Electronics, Automotive and Transportation, Manufacturing, Agriculture, Retail, Healthcare, Cybersecurity, Human Resources, Marketing, Law, Fintech, Government, OthersFunctionTraining and Inference

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Revolutionizing Computing: Cutting-Edge Technologies in AI Chipsets

Cloud AI computing had the largest market share in the AI chipset market by 2023, the year the technology was widely used in business-based chipset training. The driving forces behind the growth of the cloud-AI computing segment were as follows: 70% of companies access their AI capabilities through cloud-based software, and 65% of them access cloud services and AI applications.

In contrast, the Edge A.I. Most artificial chipsets running at the edge today are used for simulation, while artificial intelligence chipsets for edge are in early development Many big players compete in the market with AI chipsets in both cloud and edge, and it has used examples such as Google Inc, Baidu Inc, Graphcore Established and edge-driven for accounting for AI chipsets.

Empowering End-Users: The Reach of AI Chipsets Across Industries

Consumer electronics holds the largest marketplace proportion inside the marketplace by way of 2023. The emergence of AI-powered technologies has dramatically changed consumer electronics, formed consumer expectations, revolutionized commercial enterprise fashions and created new market channels. As people turn out to be accustomed to clever gadgets of their everyday life, expectancies and goals for convenient electronics develop schools, using power. It also emphasizes integrated systems harnessing the power of AI.

However, automobiles and transportation have made rapid advances in AI and its products. Furthermore, increased disposable income is directly related to the power of the consumer in the automotive industry. From that perspective, the automotive industry is booming and at the same time, it will increase the demand for AI chipsets. In addition to using AI chipsets in the automotive industry to make vehicles sense and react to their environment, which can improve safety and comfort. AI chipsets are used in vehicle systems, including advanced driver assistance systems (ADAS), autonomous driving and entertainment drives.

View report summary and Table of Contents (TOC):

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Accelerating Innovation: The Future of AI Chipsets Market

The artificial intelligence (AI) chipsets market is evolving and changing at a rapid pace, driven by the growing demand for powerful and efficient computing solutions to support artificial intelligence. As businesses around the world embrace AI technologies, there’s a huge need for specialized chipsets that are powerful AI. handle tasks quickly and efficiently.

Advances in semiconductor technology and continuous innovation in AI algorithms are the major drivers of the market. Companies are developing more advanced specialized AI chipsets, such as neural processing units (NPUs) and graphics processing units (GPUs), to meet the increasing computing needs of AI applications.

Related Report:

AI Market 

Artificial Intelligence (AI) in Computer Vision Market

Edge Artificial Intelligence (AI) Market

Mobile Artificial Intelligence (AI) Market

Artificial Intelligence (AI) Hardware Market

About Us:

SkyQuest is an IP focused Research and Investment Bank and Accelerator of Technology and assets. We provide access to technologies, markets and finance across sectors viz. Life Sciences, CleanTech, AgriTech, NanoTech and Information & Communication Technology.

We work closely with innovators, inventors, innovation seekers, entrepreneurs, companies and investors alike in leveraging external sources of R&D. Moreover, we help them in optimizing the economic potential of their intellectual assets. Our experiences with innovation management and commercialization has expanded our reach across North America, Europe, ASEAN and Asia Pacific.

Contact:
Mr. Jagraj Singh
SkyQuest Technology
1 Apache Way,
Westford,
Massachusetts 01886
USA (+1) 351-333-4748
Email: sales@skyquestt.com
Visit Our Website: https://www.skyquestt.com/

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Zifo Transforms Ontology Engineering with AI-Powered Intelligent Automation

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Advanced AI solution speeds up ontology creation by 80%, generating structured, interoperable knowledge models for science-driven organizations.

CAMBRIDGE, Mass. and CAMBRIDGE, England, April 30, 2026 /PRNewswire/ — Zifo, the leading global enabler of AI and data-driven enterprise informatics for science-driven organizations, has developed an Intelligent Automation solution for Ontology Engineering, which is designed to seamlessly generate structured, interoperable knowledge models while accelerating ontology creation by 80%.

Overcoming the Bottlenecks of Manual Ontology Creation

Manual ontology creation in the biopharma industry has traditionally been a time-consuming process that requires specialized expertise. Organizations frequently struggle with semantic ambiguity, complex integration challenges, and limited scalability, resulting in workflows that can take weeks to complete. Zifo’s AI-powered automation tackles these challenges head-on by eliminating 80% of the manual work through automated class generation, description creation, and precise IRI mapping.

Addressing the Complexities of Semantic Knowledge

Developing comprehensive knowledge models often demands deep domain expertise to define relationships and align terminology. Zifo’s intelligent solution overcomes this by providing an AI-guided workflow featuring an intuitive interface, meaning specialized ontology engineering knowledge is no longer required. By leveraging LLM-powered generation, the solution creates precise definitions with a deep understanding of domain-specific context, while generating standardized synonyms and establishing controlled vocabulary alignment to eliminate inconsistent terminology.

A Solution Designed for Scalable Scientific Data Modeling

The AI-powered solution addresses critical format compatibility and integration points in ontology management:

Seamless Integration: Automated mapping connects directly to established ontologies, including NCIT, CHEBI, OBI, and EFO, via BioPortal and OLS APIs.Massive Scalability: Parallel processing and batch operations empower teams to execute large-scale ontology projects without performance limitations.Automated Hierarchies: The AI autonomously generates semantic relationships and parent-child hierarchies based on domain context and predefined relation vocabularies.Format Compatibility: The solution produces direct OWL/RDF exports with proper URIs, ensuring seamless downstream integration.

Unique Features include:

Multi-Source Integration: The solution combines BioPortal, OLS, and EMBL-EBI APIs to guarantee comprehensive ontology coverage.Intelligent Ranking System: The system uses AI-powered relevance scoring and justification for precise ontology mappings.Precise IRI Mapping: It ensures that each generated class is linked to the correct IRI, directly promoting semantic web compatibility.Human-in-the-Loop Design: The solution automates repetitive tasks while maintaining vital expert oversight.End-to-End Workflow: Users are guided through a complete pipeline, from initial domain knowledge input straight to exportable OWL files.Visual Knowledge Graph: An interactive graph visualization allows for intuitive relationship exploration and validation.Multi-Format Exports: Provides seamless export options in CSV, OWL, or HTML Ontograph formats for downstream use, collaboration, and visualization.

Strategic Value Across the Scientific Chain

This solution breaks down the traditional barriers of data structuring. Built on a robust backend of Python, LangChain, and leading LLM models, alongside a frontend framework using Next.js 15 and Cytoscape.js for graph visualization, the solution is highly adaptable. Furthermore, future optimization enhancements will include provisions for uploading user-defined classes or semi-ready ontologies.

About Zifo

Zifo is the leading global enabler of AI and data-driven enterprise informatics for science-driven organizations. With expertise spanning research, development, manufacturing, and clinical domains, Zifo serves a diverse range of industries including Pharma, Biotech, Chemicals, Food and Beverage, and more. Trusted by over 190 organizations worldwide, Zifo is the partner of choice for advancing digital scientific innovation.

For more information, visit www.zifornd.comhttps://zifornd.com/practical-ai-blueprints/

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View original content:https://www.prnewswire.com/news-releases/zifo-transforms-ontology-engineering-with-ai-powered-intelligent-automation-302758975.html

SOURCE Zifo Technologies

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UNC-Chapel Hill establishes ‘Carolina in the Capital’ with new Washington, D.C. office

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CHAPEL HILL, N.C., April 30, 2026 /PRNewswire/ — The University of North Carolina at Chapel Hill has opened a new office in Washington, D.C., establishing an expanded presence for the University in the nation’s capital and creating exciting opportunities for students, faculty, staff and alumni.

Located at 101 Constitution Avenue NW, the 10,861-square-foot space – coined “Carolina in the Capital” – will support a variety of functions, including educational programming for undergraduate and graduate students, alumni relations and engagement with government partners.

As a leading R1 university, UNC-Chapel Hill annually attracts more than $1.6 billion to the state’s economy to fund research that creates a better quality of life for all its citizens. More than 60% of UNC-Chapel Hill’s total research funding comes from federal sponsors with the majority of that federal funding coming from the National Institutes of Health (NIH), which is based in the Washington area.

“Carolina in the Capital is a state-of-the-art facility that reflects our commitment to creating experiential learning opportunities for our students and faculty,” said Chancellor Lee H. Roberts. “The space is designed as an immersive learning environment where students can translate classroom knowledge into hands-on experience, which has never been more important. The facility also strengthens our ability to support engagement between our staff, alumni, policymakers and partners.”

Supporting students participating in Carolina’s Washington-based academic programs is a priority. For years, students and faculty have relied on temporary or borrowed spaces across the city. The new office provides a permanent home where students can gather, learn and build community while living and studying in Washington. A robust schedule of classes and events will fill the space throughout the year.

The Washington, D.C. region is home to the largest concentration of out-of-state Carolina alumni anywhere in the country. The new office creates a dedicated space to strengthen those connections and support networking, mentorship, professional development and community-building among D.C.-based Tar Heels.

The space will also serve as a platform to bring Carolina’s research and academic expertise into closer conversation with policymakers, industry leaders and member organizations. Carolina is the nation’s 11th largest university in the country based on research volume with primary federal funding coming from NIH and the National Science Foundation (NSF), both based in the D.C. area. Carolina is a proud member of the Association of American Universities (AAU) and the Association of Public & Land Grant Universities (APLU), which are both based in Washington.

The office is funded entirely through the UNC-Chapel Hill Foundation and does not use any state appropriations.

You can view additional photos of the space here.

Media Contact: UNC Media Relations, 919-445-8555, mediarelations@unc.edu

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SOURCE University of North Carolina at Chapel Hill Office of Communications

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Investing.com Acquires Stonki to Accelerate Its Entry into the Agentic AI Era

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The acquisition strengthens Investing.com’s AI capabilities, advancing a next-generation research assistant that can analyze markets, generate insights, and guide investors in real time

NEW YORK, April 30, 2026 /PRNewswire/ — Investing.com, one of the world’s largest financial platforms used by more than 60 million investors each month, today announced the acquisition of Stonki, an AI-powered investing assistant designed to help traders turn ideas into structured, actionable trading plans.

The move marks a major step in the company’s evolution toward agentic AI, strengthening its ability to deliver faster, deeper, and more actionable market insights to a growing base of more than 300,000 paying subscribers across its InvestingPro suite, the company’s premium subscription offering for advanced market data, tools, and AI-driven insights.

Over the past 12 months, nearly 3 million users have used WarrenAI, Investing.com’s AI-powered financial research assistant launched last year, to perform market analysis, making AI a central entry point into the platform’s ecosystem. With the addition of Stonki, the company is moving beyond traditional AI tools toward agentic systems that can proactively guide users through the investment process.

“We’re entering the age of agentic AI, where the technology moves beyond just answering questions to actively helping investors think, analyze, and act,” said Omer Shvili, CEO of Investing.com. “Bringing Stonki.ai into the fold accelerates our goal of building an agentic platform that will serve as a 24/7 analyst for our users. We are developing this to be more than just a tool; it will be a partner that identifies opportunities, tracks unfolding situations, and surfaces trade ideas even when the user isn’t active—giving our users the kind of edge that was previously only available to professional investors.”

Founded in 2025, Stonki is developing a new category of ‘agentic’ AI for investing, enabling users to turn investment ideas into fully defined strategies with entry and exit conditions, risk management rules, and continuous monitoring.

“We started Stonki because, as investors and traders ourselves, we knew how much time and focus it takes to stay on top of the market and properly manage a day trade, a swing trade, an investment idea, or a portfolio,” said Ulas Bilgenoglu and Itay Verkh, co-founders of Stonki. “We set out to build AI that could carry part of that load by continuously monitoring the market, turning ideas into structured strategies, and helping users make better decisions with clear entry and exit conditions, disciplined risk management, and ongoing tracking. Joining Investing.com gives us the scale, data, reach, and strong AI foundation to accelerate that vision. Together, we can create an experience where AI helps users stay ahead of the market, manage risk, and act with greater confidence.”

The acquisition expands Investing.com’s AI capabilities across both technical and fundamental investing workflows. Stonki’s technology is built around persistent, real-time intelligence, continuously monitoring markets, tracking user-defined strategies, and alerting investors when conditions align, rather than relying on one-off prompts or static analysis.

For active traders, the platform is evolving into a real-time analysis engine designed to support high-frequency decision-making with precision and speed. For long-term investors, it is becoming a central hub for research, enabling users to evaluate opportunities, set personalized alerts, and monitor portfolios based on their individual investment strategies.

Users will be able to define specific conditions, such as a stock crossing a long-term moving average, and have the AI continuously monitor the market, analyze relevant signals, and surface actionable insights in real time. The system will also review portfolios on an ongoing basis, helping investors avoid potential losses and uncover new opportunities aligned with their strategy.

This latest step builds on Investing.com’s broader strategy of expanding its AI-powered suite, including WarrenAI, ProPicks AI, and its recently launched AI Chart Analysis, all aimed at delivering faster, more accurate and more actionable insights to investors.

View original content:https://www.prnewswire.com/news-releases/investingcom-acquires-stonki-to-accelerate-its-entry-into-the-agentic-ai-era-302756588.html

SOURCE Investing.com

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