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Netanyahu signs MOU with U.S. on energy, artificial intelligence cooperation

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Interior Secretary Doug Burgum: ‘All the incredible technological leadership, the great entrepreneurship, the incredible startup community that’s strong and vibrant in Israel, all of this bodes well for the future’

Israeli Prime Minister Benjamin Netanyahu signed a memorandum of understanding with Interior Secretary Doug Burgum and Secretary of Energy Chris Wright on Tuesday, advancing U.S. and Israeli cooperation in energy and artificial intelligence research and integrating AI into the…





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AI Research

Artificial intelligence is a commodity, but understanding is a superpower

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30 minutes ago

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July 9, 2025

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As a developer and a human being, you want to push yourself as much as possible to incorporate the intention of things into your practice. By insisting on understanding a project’s intention and uniting it with your own understanding of the particulars of implementation, you become far more valuable. AI then makes it easier to magnify your intentions into automated activity.

We can speculate that AI will get better at this middle ground in the future, but it will never actually have intention. It will only ever move under human direction. Resist becoming just a connector or interpreter of intention to implementation. Keep on working to develop and contribute your own unique understanding. Implementation can be automated, but the unique qualities of understanding cannot.

Why LLMs will not replace higher-level languages

If you follow the hype cycle, it might seem that AI’s ability to mass produce code to meet requirements makes understanding the intention of that code less important. I’d say it makes it less necessary up front. There may even come a time when AI’s natural language interface is something like what fourth-generation languages are today. I can see a possible future where languages like JavaScript and Python are a layer below the AI interface, akin to how C is today. But if that is the analogy we’re using, then it seems clear we will always need people who deeply understand that layer, just as today we still need people who understand C, assembly machine code, and chip wafers.



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LG AI Research Institute has released a new model of Exemplary Pass, a precision medical artificial ..

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37 minutes ago

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July 9, 2025

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LG AI Research Institute has released a new model of Exemplary Pass, a precision medical artificial intelligence (AI) model.

On the 9th, LG AI Research Institute unveiled ‘EXAONE Path 2.0’, a next-generation precision medical AI model.

Bio is one of the ABCs (AI, Bio, and Clean Tech) that LG Group Chairman Koo Kwang-mo cited as a future growth engine. Exempathy 2.0 is expected to play an important role in the group’s growth strategy.

Exempathy 2.0 is an upgrade of the 1.0 model released in January last year and the 1.5 model released last month, and has learned much higher quality data than the existing model. Pathologic tissue images (WSI) can precisely analyze and predict genetic variation and expression form, microscopic changes in human cells and tissues, and structural features.

Exemplary Pass 2.0 learned multiomics information such as DNA and RNA containing WSI and genetic information together. WSI is a high-resolution digital image taken during the pathologic diagnosis process of observing a patient’s tissue sample under a microscope. However, if AI simply analyzes this, there is a high possibility that a “characteristic collapse phenomenon” will occur, which will lead to poor prediction accuracy.

Exemplary Pass 2.0 applied a new technology that learns from small units to WSI, increasing the accuracy of predicting genetic mutations to 78.4%, the world’s highest level.

In addition, gene activity can be predicted only by image analysis without expensive dielectric tests.

Park Yong-min, leader of the AI business team at LG AI Research Institute, said, “If Exemplar Pass 2.0 is used, the genetic test time that took more than two weeks can be shortened to less than a minute, helping to secure golden time for treatment of cancer patients. If doctors and pharmaceutical companies use Exemplar Pass 2.0, they can identify target treatments in a short time.” The LG AI Research Institute also released additional models specializing in specific diseases such as lung and colon cancer.

LG AI Research Institute also announced a plan to cooperate with Vanderbilt University Medical Center in the United States. It is joined by a research team led by Korean scholar Hwang Tae-hyun, who leads the stomach cancer project of Cancer Moonshot, a cancer conquest project led by the U.S. government. Professor Hwang said, “Our goal is to create an AI platform that can help medical staff treat and treat patients in the actual medical field. The AI platform will not be just a diagnostic tool, but a game changer that innovates the entire process of new drug development.”

Starting with the field of cancer, LG AI Research Institute and Professor Hwang’s research team plan to expand the scope of research to rejection of transplants, immunology, and diabetes in the future. LG AI Research Institute is planning to introduce Exemite Pass 2.0 at the ‘LG AI Talk Concert 2025’ on the 22nd.

[Reporter Lee Deok-ju]



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AI in Telecommunication Market Comprehensive Research Study,

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1 hour ago

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July 9, 2025

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AI in Telecommunication Market

The AI in Telecommunication Market size is estimated to be approximately USD 6.5 billion in 2024 and is anticipated to reach around USD 28.7 billion by 2033, growing at a CAGR of about 17.5% from 2025 to 2033.

AI in Telecommunication Market Overview

The AI in Telecommunication Market is rapidly evolving as telecom operators increasingly adopt AI technologies to enhance network efficiency, optimize customer experience, and drive automation. AI applications such as predictive maintenance, fraud detection, network optimization, and virtual assistants are becoming integral to telecom infrastructure. The growing demand for high-speed data, 5G rollout, and the need for real-time analytics are further accelerating AI adoption in this sector. Additionally, AI helps in reducing operational costs and improving service reliability, making it a critical component for telecom companies striving for competitive advantage. The market is also witnessing significant investments in AI-driven software and solutions tailored specifically for telecommunications. Overall, the integration of AI is reshaping the telecom landscape by enabling smarter, faster, and more responsive networks.

Request a sample copy of this report at: https://www.omrglobal.com/request-sample/ai-in-the-telecommunication-market

Advantages of requesting a Sample Copy of the Report:

1) To understand how our report can bring a difference to your business strategy

2) To understand the analysis and growth rate in your region

3) Graphical introduction of global as well as the regional analysis

4) Know the top key players in the market with their revenue analysis

5) SWOT analysis, PEST analysis, and Porter’s five force analysis

The report further explores the key business players along with their in-depth profiling

IBM Corporation, Microsoft Corporation, Google LLC, AT&T Inc., Cisco Systems, Intel Corporation, NVIDIA Corporation, Infosys Limited, Huawei Technologies, and Amazon Web Services (AWS).

AI in Telecommunication Market Segments:

By Component:

• Hardware

• Software

• Services

By Application:

• Network Optimization

• Predictive Maintenance

• Fraud Detection

• Customer Experience Management

• Virtual Assistants & Chatbots

• Security & Threat Intelligence

• Others

By Deployment Mode:

• Cloud-Based

• On-Premises

By Organization Size:

• Small & Medium Enterprises (SMEs)

• Large Enterprises

Report Drivers & Trends Analysis:

The report also discusses the factors driving and restraining market growth, as well as their specific impact on demand over the forecast period. Also highlighted in this report are growth factors, developments, trends, challenges, limitations, and growth opportunities. This section highlights emerging AI in Telecommunication Market trends and changing dynamics. Furthermore, the study provides a forward-looking perspective on various factors that are expected to boost the market’s overall growth.

Competitive Landscape Analysis:

In any market research analysis, the main field is competition. This section of the report provides a competitive scenario and portfolio of the AI in Telecommunication Market’s key players. Major and emerging market players are closely examined in terms of market share, gross margin, product portfolio, production, revenue, sales growth, and other significant factors. Furthermore, this information will assist players in studying critical strategies employed by market leaders in order to plan counterstrategies to gain a competitive advantage in the market.

Regional Outlook:

The following section of the report offers valuable insights into different regions and the key players operating within each of them. To assess the growth of a specific region or country, economic, social, environmental, technological, and political factors have been carefully considered. The section also provides readers with revenue and sales data for each region and country, gathered through comprehensive research. This information is intended to assist readers in determining the potential value of an investment in a particular region.

» North America (U.S., Canada, Mexico)

» Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)

» Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)

» South America (Brazil, Argentina, Rest of SA)

» Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)

If you have any special requirements, Request customization: https://www.omrglobal.com/report-customization/ai-in-the-telecommunication-market

Key Benefits for Stakeholders:

⏩ The study represents a quantitative analysis of the present AI in Telecommunication Market trends, estimations, and dynamics of the market size from 2025 to 2032 to determine the most promising opportunities.

⏩ Porter’s five forces study emphasizes the importance of buyers and suppliers in assisting stakeholders to make profitable business decisions and expand their supplier-buyer network.

⏩ In-depth analysis, as well as the market size and segmentation, help you identify current AI in Telecommunication Market opportunities.

⏩ The largest countries in each region are mapped according to their revenue contribution to the market.

⏩ The AI in Telecommunication Market research report gives a thorough analysis of the current status of the AI in Telecommunication Market’s major players.

Key questions answered in the report:

➧ What will the market development pace of the AI in Telecommunication Market?

➧ What are the key factors driving the AI in Telecommunication Market?

➧ Who are the key manufacturers in the market space?

➧ What are the market openings, market hazards,s and market outline of the AI in Telecommunication Market?

➧ What are the sales, revenue, and price analysis of the top manufacturers of the AI in Telecommunication Market?

➧ Who are the distributors, traders, and dealers of AI in Telecommunication Market?

➧ What are the market opportunities and threats faced by the vendors in the AI in Telecommunication Market?

➧ What are deals, income, and value examination by types and utilizations of the AI in Telecommunication Market?

➧ What are deals, income, and value examination by areas of enterprises in the AI in Telecommunication Market?

Purchase Now Up to 25% Discount on This Premium Report: https://www.omrglobal.com/buy-now/ai-in-the-telecommunication-market?license_type=quick-scope-report

Reasons To Buy The AI in Telecommunication Market Report:

➼ In-depth analysis of the market on the global and regional levels.

➼ Major changes in market dynamics and competitive landscape.

➼ Segmentation on the basis of type, application, geography, and others.

➼ Historical and future market research in terms of size, share growth, volume, and sales.

➼ Major changes and assessment in market dynamics and developments.

➼ Emerging key segments and regions

➼ Key business strategies by major market players and their key methods

Contact Us:

Mr. Anurag Tiwari

Email: anurag@omrglobal.com

Contact no: +91 780-304-0404

Website: www.omrglobal.com

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About Orion Market Research

Orion Market Research (OMR) is a market research and consulting company known for its crisp and concise reports. The company is equipped with an experienced team of analysts and consultants. OMR offers quality syndicated research reports, customized research reports, consulting and other research-based services. The company also offers Digital Marketing services through its subsidiary OMR Digital and Software development and Consulting Services through another subsidiary Encanto Technologies.

This release was published on openPR.



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