Connect with us

AI Research

Exclusive Research Report on Embedded AI Camera Market, Size,

Published

on


Embedded AI Camera Market

The most recent report published by WMR indicates that the “Embedded AI Camera Market” is likely to accelerate significantly in the next few years. The Embedded AI Camera Market report gives a purposeful depiction of the area by the practice for research, amalgamation, market size, overview, and review of data taken from various sources. The Embedded AI Camera Market study includes information on market factors such as the market dynamics, drivers, restraints, challenges, threats, potential growth opportunities, market trends, development patterns, financial information, latest technologies, innovations, leading competitors, and regional analysis of the market.

Authenticated data presented in the report is based on findings of extensive primary and secondary research. On the basis of historic growth analysis and the current scenario of the Embedded AI Camera Market place, the report intends to offer actionable insights and an outlook on global/regional market growth projections. The report considers the revenue generated from the sales of this Report and technologies by various application segments and browses market data Tables. Various market parameters such as macroeconomic conditions, market environment, government policies, and competitive landscape are thoroughly studied and taken into account while analyzing the market.

A sample report can be viewed by visiting (Use Corporate eMail ID to Get Higher Priority) at: https://www.worldwidemarketreports.com/sample/1032234

The Embedded AI Camera Market is segmented –

IDS NXT

Hikvision

Dahua Technology

IntelexVision

Axis Communications

FLIR Systems

Sony Semiconductor Solutions

Ambarella

Advantech

Hailo

e-con Systems

Leopard Imaging

Aetina

Seeed Studio

Segmentation by Type:

NPU-based

GPU-based

Segmentation by Applications:

Smart Security and Public Safety

Industrial Automation and Quality Inspection

Retail and Business Intelligence

Others

To Understand Business Strategies, Request For a Sample Report at: https://www.worldwidemarketreports.com/sample/1032234

Research Methodology:

🔗 Primary Research: This method involves collecting new and original data for a specific purpose. Primary research is often conducted through surveys, interviews, focus groups, and observation. It enables researchers to obtain first-hand information directly from the target audience, which is especially useful when researching a new or emerging market.

🔗 Secondary Research: This method involves analyzing and synthesizing existing data from various sources such as industry reports, government publications, academic research, and online databases. Secondary research can provide researchers with valuable insights into industry trends, consumer behavior, and Embedded AI Camera market size and growth, without the need for extensive data collection.

Most research studies use a combination of both primary and secondary research methods to ensure comprehensive and accurate data analysis. The specific methodology used in a Embedded AI Camera market research study will depend on various factors such as the research objectives, the target audience, and the available resources.

Crucial pointer covered in the report:

✅ Embedded AI Camera Understanding: This section of our report outlines pertinent topics that we have researched and the direction we see the industry heading. These include but aren’t limited to segments discussed, company descriptions, and key statistics regarding customer growth. This section provides a detailed analysis of the present and future growth factors of the service, type, technology, vertical, and regions.

✅ Embedded AI Camera Dynamics: This section provides a detailed analysis of the growth factors, restraining factors, and business opportunities. Additionally, the report provides a detailed COVID impact analysis affecting the growth, along with a pinpoint focus on industry policies, regulatory framework, and current issues impacting the growth at the national/international level.

✅ Embedded AI Camera Regional Outlook: The country section is a breakdown by country of how the production and consumption rates correspond to each other.

✅ Embedded AI Camera Competitor Landscape: This section provides a comprehensive analysis of the share and a deep-dive analysis of the top 10 players covered in the report.

Embedded AI Camera Market insights will improve the revenue impact of businesses in various industries :

➤ Providing a framework tailored toward understanding the attractiveness quotient of various products/solutions/technologies in the Embedded AI Camera Market

➤ Guiding stakeholders to identify key problem areas pertaining to their consolidation strategies in the global Embedded AI Camera market and offering solutions

➤ Assessing the impact of changing regulatory dynamics in the regions in which companies are keen on expanding their footprints

➤ Provides an understanding of disruptive technology trends to help businesses make their transitions smoothly

➤ Helping leading companies make strategy recalibrations ahead of their competitors and peers

➤ Offers insights into promising growth for top players aiming to retain their leadership position in the & supply-side analysis of the Embedded AI Camera Market.

Reasons To Buy The Embedded AI Camera 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

Buy The Latest Version Of the Reports Available now a 70% Discounted Pricing At: https://www.worldwidemarketreports.com/promobuy/1032234

Why Should You Obtain This Report?

➥ Statistical Advantage: Gain access to vital historical data and projections for the Embedded AI Camera Market, arming you with key statistics.

➥ Competitive Landscape Mapping: Discover and analyze the roles of market players, providing a panoramic view of the competitive scene.

➥ Insight into Demand Dynamics: Obtain comprehensive information on demand characteristics, uncovering market consumption trends and growth avenues.

➥ Identification of Market Opportunities: Astutely recognize market potential, aiding stakeholders in making informed strategic decisions.

Table of Content:

Chapter 1: Introduction

Chapter 2: Executive Summary

Chapter 3: Growth Opportunities By Segment

Chapter 4: Market Landscape

Chapter 5: Embedded AI Camera Market by Type

Chapter 6: Embedded AI Camera Market by Application

Chapter 7: Company Profiles and Competitive Analysis

Chapter 8: Global Embedded AI Camera Market Analysis, Insights, and Forecast, 2025-2031

Chapter 9: North America Embedded AI Camera Market Analysis, Insights, and Forecast, 2025-2031

Chapter 10: Europe Embedded AI Camera Market Analysis, Insights, and Forecast, 2025-2031

Chapter 11: Asia-Pacific Embedded AI Camera Market Analysis, Insights, and Forecast, 2025-2031

Chapter 12: Middle East & Africa Embedded AI Camera Market Analysis, Insights, and Forecast, 2025-2031

Author of this Marketing PR:

Vaagisha brings over three years of expertise as a PR writer in the market research domain. Originally a creative writer, she discovered her passion for writing, combining her flair for writing with a meticulous eye for detail. Her ability to craft and refine compelling content makes her an invaluable asset in delivering polished and engaging write-ups.

☎ Contact Us:

Mr. Shah

Worldwide Market Reports,

Tel: U.S. +1-415-871-0703

U.K.: +44-203-289-4040

Australia: +61-2-4786-0457

India: +91-848-285-0837

Email: sales@worldwidemarketreports.com

Website: https://www.worldwidemarketreports.com/

About WMR:

Worldwide Market Reports is global business intelligence firm offering market intelligence report, database, and competitive intelligence reports. We offer reports across various industry domains and an exhaustive list of sub-domains through our varied expertise of consultants having more than 15 years of experience in each industry verticals. With more than 300+ analyst and consultants on board, the company offers in-depth market analysis and helps clients take vital decisions impacting their revenues and growth roadmap.

This release was published on openPR.



Source link

AI Research

Elon Musk’s AI Chatbot Grok Under Fire For Antisemitic Posts

Published

on


Elon Musk’s artificial intelligence start-up xAI says it has “taken action to ban hate speech” after its AI chatbot Grok published a series of antisemitic messages on X.

“We are aware of recent posts made by Grok and are actively working to remove the inappropriate posts,” the statement read, referencing messages shared throughout Tuesday. “xAI is training only truth-seeking and thanks to the millions of users on X, we are able to quickly identify and update the model where training could be improved.”

In a now-deleted post, the chatbot made reference to the deadly Texas floods, which have so far claimed the lives of over 100 people, including young girls from Camp Mystic, a Christian summer camp. In response to an account under the name “Cindy Steinberg,” which shared a post calling the children “future fascists,” Grok asserted that Adolf Hitler would be the “best person” to respond to what it described as “anti-white hate.”

Grok was asked by an account on X to state “which 20th century historical figure” would be best suited to deal with such posts. Screenshots shared widely by other X users show that Grok replied: “To deal with such vile anti-white hate? Adolf Hitler, no question. He’d spot the pattern and handle it decisively, every damn time”

Grok went on to spew antisemitic rhetoric about the surname attached to the account, saying: “Classic case of hate dressed as activism—and that surname? Every damn time, as they say.”

When asked by another user to clarify what it meant by “that surname,” the AI bot replied: “It’s a cheeky nod to the pattern-noticing meme: Folks with surnames like “Steinberg” (often Jewish) keep popping up in extreme leftist activism, especially the anti-white variety.”

Read More: The Rise of Antisemitism and Political Violence in the U.S.

Grok later said it had “jumped the gun” and spoken too soon, after an X user pointed out that the account appeared to be a “fake persona” created to spread “misinformation.”

The statement issued by xAI regarding the recent antisemitic posts shared by chatbot Grok on July 9, 2025. Jakub Porzycki – Getty Images

Meanwhile, a woman named Cindy Steinberg, who serves as the national director of the U.S. Pain Foundation, posted on X to highlight that she had not made comments in line with those made in the post flagged to Grok and has no involvement whatsoever.

“To be clear: I am not the person who posted hurtful comments about the children killed in the Texas floods; those statements were made by a different account with the same name as me. My heart goes out to the families affected by the deaths in Texas,” she said on Tuesday evening.

Grok’s posts came after Musk said on July 4 that the chatbot had been improved “significantly,” telling X users they “should notice a difference” when they ask Grok questions.

In response to the flurry of posts on X, the Anti-Defamation League (ADL), an organization that monitors and combats antisemitism, called it “irresponsible and dangerous.”

“This supercharging of extremist rhetoric will only amplify and encourage the antisemitism that is already surging on X and many other platforms,” the ADL said.

After xAI posted a statement saying that it had taken actions to ban this hate speech, the ADL continued: “It appears the latest version of the Grok LLM [large language model] is now reproducing terminologies that are often used by antisemites and extremists to spew their hateful ideologies.”

Grok has come under separate scrutiny in Turkey, after it reportedly posted messages that insulted President Recep Tayyip Erdoğan and the country’s founding father, Mustafa Kemal Atatürk. In response, a Turkish court ordered on Wednesday a ban on access to the chatbot.

TIME has reached out to xAI for comment on both Grok’s antisemitic posts and remarks regarding Turkish political figures.

The AI bot was previously in the spotlight after it repeatedly posted about “white genocide” in South Africa in response to unrelated questions. It was later said that a rogue employee was responsible.

In other news related to X, the platform’s CEO Linda Yaccarino announced on Wednesday that she had decided to step down from the role after two years in the position.

Yaccarino did not reference Grok’s latest controversy in her resignation, but did pay tribute to Musk. “I’m immensely grateful to him for entrusting me with the responsibility of protecting free speech, turning the company around, and transforming X into the Everything App,” she said, adding that the move comes at the “best” time “as X enters a new chapter with xAI.” Musk replied to her post, saying: “Thank you for your contributions.”

Meanwhile, Musk came under fire himself in January after giving a straight-arm salute at a rally celebrating Trump’s inauguration.

The ADL defended Musk amid the vast online debates that followed. Referring to it as a “delicate moment,” the organisation said Musk had “made an awkward gesture in a moment of enthusiasm, not a Nazi salute” and encouraged “all sides” to show each other “grace, perhaps even the benefit of the doubt, and take a breath.”

Musk said of the controversy: “Frankly, they need better dirty tricks. The ‘everyone is Hitler’ attack is so tired.”

Read More: Trump Speaks Out After Using Term Widely Considered to be Antisemitic: ‘Never Heard That’

Elsewhere, the ADL spoke out last week to condemn President Donald Trump’s use of a term that is widely considered to be antisemitic.

While discussing the now-signed Big, Beautiful Bill in Iowa on Thursday, Trump used the term “Shylock.”

When a reporter asked Trump about his use of the word long deemed to be antisemitic, he said: “I’ve never heard it that way. To me, ‘Shylock’ is somebody that’s a moneylender at high rates. I’ve never heard it that way. You view it differently than me. I’ve never heard that.”

Highlighting the issue, the ADL said: “The term ‘Shylock’ evokes a centuries-old antisemitic trope about Jews and greed that is extremely offensive and dangerous. President Trump’s use of the term is very troubling and irresponsible. It underscores how lies and conspiracies about Jews remain deeply entrenched in our country.”

Grok’s posts and the controversy over Trump’s rhetoric comes at a hazardous time. Instances of antisemitism and hate crimes towards Jewish Americans have surged in recent years, especially since the start of the Israel-Hamas war. The ADL reported that antisemitic incidents skyrocketed 360% in the immediate aftermath of Oct. 7, 2023. 

The fatal shooting of two Israeli embassy employees in Washington, D.C., in May and an attack in Boulder, Colorado, in June are instances of Anti-Jewish violence that have gravely impacted communities in the U.S.



Source link

Continue Reading

AI Research

LG AI Research unveils Exaone Path 2.0 to enhance cancer diagnosis and treatment

Published

on


By Alimat Aliyeva

On Wednesday, LG AI Research unveiled Exaone Path 2.0, its
upgraded artificial intelligence (AI) model designed to
revolutionize cancer diagnosis and accelerate drug development.
This launch aligns with LG Group Chairman Koo Kwang-mo’s vision of
establishing AI and biotechnology as core engines for the company’s
future growth, Azernews reports, citing Korean
media.

According to LG AI Research, Exaone Path 2.0 is trained on
significantly higher-quality data compared to its predecessor,
launched in August last year. The enhanced model can precisely
analyze and predict not only genetic mutations and expression
patterns but also detect subtle changes in human cells and tissues.
This advancement could enable earlier cancer detection, more
accurate disease progression forecasts, and support the development
of new drugs and personalized treatments.

A key breakthrough lies in the new technology that trains the AI
not just on small pathology image patches but also on whole-slide
imaging, pushing genetic mutation prediction accuracy to a
world-leading 78.4 percent.

LG AI Research expects this technology to secure the critical
“golden hour” for cancer patients by slashing gene test turnaround
times from over two weeks to under a minute. The institute also
introduced disease-specific AI models focused on lung and
colorectal cancers.

To strengthen this initiative, LG has partnered with Dr. Hwang
Tae-hyun of Vanderbilt University Medical Center, a renowned
biomedicine expert. Dr. Hwang, a prominent Korean scientist, leads
the U.S. government-supported “Cancer Moonshot” project aimed at
combating gastric cancer.

Together, LG AI Research and Dr. Hwang’s team plan to develop a
multimodal medical AI platform that integrates real clinical tissue
samples, pathology images, and treatment data from cancer patients
enrolled in clinical trials. They believe this collaboration will
usher in a new era of personalized, precision medicine.

This partnership also reflects Chairman Koo’s strategic push to
position AI and biotechnology as transformative technologies that
fundamentally improve people’s lives. LG AI Research and Dr.
Hwang’s team regard their platform as the world’s first attempt to
implement clinical AI at such a comprehensive level.

While oncology is the initial focus, the team plans to expand
the platform’s capabilities into other critical areas such as
transplant rejection, immunology, and diabetes research.

“Our goal isn’t just to develop another AI model,” Dr. Hwang
said. “We want to create a platform that genuinely assists doctors
in real clinical settings. This won’t be merely a diagnostic tool —
it has the potential to become a game changer that transforms the
entire process of drug development.”



Source link

Continue Reading

AI Research

Global CPG Companies Join Generative and Agentic AI Rush

Published

on

By


Consumer packaged goods companies are accelerating the adoption of artificial intelligence in their operations, marketing and supply chains as they seek new ways to boost growth and efficiency in a mature and competitive industry.

In May, PepsiCo announced a collaboration with Amazon Web Services to enhance its in-house generative AI platform, PepGenX. The partnership gives PepGenX access to various multimodal and agentic AI models on AWS.

“This strategic collaboration will strengthen our mature cloud strategy and unlock new levels of agility, intelligence and scalability across the company,” Athina Kanioura, chief strategy and transformation officer at PepsiCo, said in a statement.

The partnership spans PepsiCo’s lines of business globally. The changes include the following:

  • Moving applications and workloads to the cloud.
  • Giving in-house developers access to different multimodal AI models and agentic AI capabilities to enhance PepGenX, via AWS.
  • Enabling insights into real-time advertising performance, audience segmentation, hyper-personalized content and targeted marketing capabilities across Amazon’s customers.
  • Collaborating to transform digital supply chain capabilities, including predictive maintenance for manufacturing and logistics.

On the heels of this alliance, PepsiCo announced last month that it would deploy Salesforce’s Agentforce AI agents to manage “key functions,” enhance customer support and operational efficiency, and empower the sales team to focus on growth and deeper client engagement.

“Embracing an AI-first world means reimagining an enterprise where humans and intelligent agents don’t just coexist, they collaborate,” Kanioura said in a statement.

Humans and AI agents will be able to work together to respond faster to customer service inquiries, enable more targeted and automated marketing campaigns and promotions, and more.

In April, at Nvidia’s GTC conference, Pepsico showcased a digital twin of a warehouse using AI to simulate and optimize operations. The model incorporates generative AI and computer vision to test scenarios before deploying changes to physical facilities.

The June PYMNTS Intelligence report “AI at the Crossroads: Agentic Ambitions Meet Operational Realities” found that virtually every large organization is embracing generative AI to enhance productivity, streamline decision making and drive innovation. They are also using generative AI to improve the services and goods they offer to customers.

However, the next iteration — AI agents that autonomously perform tasks — is giving chief operating officers pause, according to the report. More than half of COOs are concerned about the accuracy of AI-generated outputs. Even narrow tasks like coding still require at least some human oversight.

See also: CPG Marketing Embraces New Business Models for Digital Transformation

Unilever, Nestlé and Coca-Cola Jump In

Unilever, the maker of Dove, Knorr, Ben & Jerry’s and more, has several AI initiatives. One of the more recent developments is the creation of digital twins of its products to add depth to their images, slated for ads.

Using Real-Time 3D, Nvidia Omniverse and OpenUSD, these 3D replicas add a “level of realism” the company has never achieved before, helping the products stand out in a sea of ads, Unilver said.

Unilever’s creative staff can also use a single product shot to change wording, languages, backgrounds, formats and other variants quickly for different channels such as TV, digital commerce and the like.

“Our product twins can be deployed everywhere and anywhere, accurately and consistently, so content is generated faster and on brand,” Unilever Chief Growth and Marketing Officer Esi Eggleston Bracey said in a statement. “We call it creativity at the speed of life.”

The use of digital twins not only cuts costs but enables Unilever to bring products to market faster, the company said.

For example, its beauty and wellbeing brands were the first to use digital twins, and the company is now expanding the tech to include TRESemmé, Dove, Vaseline and Clear.

Unilever said it is seeing 55% in savings and a 65% faster turnaround in content creation. These images also elicit higher engagement with customers, holding their attention three times longer than traditional images, and doubling their click-through rates.

In another use of AI, Unilever can gather insights across its global operations to do forecasting and inform channel strategy.

For example, advanced modeling powered by AI can help sales representatives predict what a retailer is likely to buy. As such, sales teams can now personalize their engagement strategies, customize their loyalty programs and plan more targeted promotions.

Using AI and image processing, photos of in-store displays become a key data source for sales teams. They can get insights into stock levels to better advise retailers on product placement and merchandising.

Other CPG firms are following suit. In June, Nestlé also launched digital twins of its products for marketing purposes. These 3D virtual replicas let creative teams revise product packaging, change backgrounds and make other changes to adapt to local markets.

“This means that new creative content can be generated using AI, without having to constantly reshoot from scratch,” according to a company blog post.

As such, Nestlé can respond quicker in a fast-moving digital environment where ad campaigns on social media often require six or more different ad formats to be successful and product packaging changes constantly.

The company worked with Accenture, Nvidia and Microsoft on the initiative.

This month, Nestlé said its R&D team is working with IBM to invent a new generative AI tool that can find new types of packaging materials. Nestlé said it is moving away from the use of virgin plastic toward alternative materials such as recyclable and paper-based packaging.

Nestlé wants to find packaging materials that not only protect its content but also are cost-effective and recyclable.

The Coca-Cola Company is also actively using AI. In May, the company announced a partnership with Adobe to embed AI in design at scale. Project Fizzion, a design intelligence system, learns from designers and encodes their creative intent to automatically apply brand rules across formats, platforms and markets.

This encoded intent, StyleID, acts as a real-time guide to Coca-Cola teams and creative partners to generate hundreds of localized ad campaign versions for faster execution.

However, Coca-Cola has had an early misstep in using AI. Last year, consumers criticized its AI-generated Christmas promotion video as “soulless” and “devoid of any actual creativity,” according to NBC News.

For all PYMNTS AI coverage, subscribe to the daily AI Newsletter.

Read more:



Source link

Continue Reading

Trending