Education
Kyndryl signs White House pledge to invest in and advance AI education for America’s youth
NEW YORK, August 18, 2025 — Kyndryl (NYSE: KD), a leading provider of mission-critical enterprise technology services, today announced that it and the Kyndryl Foundation have signed the White House’s Pledge to America’s Youth: Investing in Artificial Intelligence (AI) Education. As part of the coalition of more than 60 leading U.S. organizations, Kyndryl is asserting its commitment to supporting America’s youth by investing in the critical field of AI education.
“We are pleased to join and support the White House’s pledge to invest in AI education for America’s youth,” said Chairman and Chief Executive Officer Martin Schroeter. “We believe that investing in the nation’s future workforce is an important responsibility and an opportunity to equip students with the skills and confidence they need to navigate the AI era.”
Kyndryl’s commitment to the pledge supports President Trump’s vision of Advancing Artificial Intelligence Education for America’s Youth, which aims to provide opportunities for students to cultivate the skills and understanding necessary to use and create next-generation AI technologies and solutions.
In partnership with the White House Task Force on Artificial Intelligence Education, Kyndryl and other organizations are helping drive an effort to make AI education accessible to K-12 students across the United States.
Learn about Kyndryl’s Data and Artificial Intelligence services.
More information about the Kyndryl Foundation is available here.
About Kyndryl
Kyndryl (NYSE: KD) is a leading provider of mission-critical enterprise technology services, offering advisory, implementation and managed service capabilities to thousands of customers in more than 60 countries. As the world’s largest IT infrastructure services provider, the company designs, builds, manages and modernizes the complex information systems that the world depends on every day. For more information, visit www.kyndryl.com.
Kyndryl press contact
press@kyndryl.com
Google Advances AI Image Generation with Multi-Modal Capabilities
Google has introduced Gemini 2.5 Flash Image, marking a significant advancement in artificial intelligence systems that can understand and manipulate visual content through natural language processing.
The AI model represents progress in multi-modal machine learning, combining text comprehension with image generation and editing capabilities. Unlike previous systems focused primarily on creating images from text descriptions, Gemini 2.5 Flash Image can analyze existing images and perform precise modifications based on conversational instructions.
Technical improvements include enhanced character consistency across multiple image generations, a persistent challenge in AI image synthesis. The system can maintain the appearance of specific subjects while placing them in different environments or contexts, indicating advances in computer vision and generative modeling.
The model leverages Google’s large language model knowledge base, allowing it to incorporate real-world understanding into visual tasks. This integration demonstrates progress toward more sophisticated AI agents capable of reasoning across different data types.
Google implemented safety measures, including automated content filtering and mandatory digital watermarking through its SynthID technology. The watermarking addresses growing concerns about the identification of AI-generated content as synthetic media becomes more prevalent.
The launch intensifies competition in generative AI, where companies including OpenAI, Adobe, and Midjourney are developing similar multimodal capabilities. Industry analysts view image generation as a key battleground for AI companies seeking to expand beyond text-based applications.
Gemini 2.5 Flash Image is priced at $30 per million tokens. For more information, visit the Google site.
About the Author
John K. Waters is the editor in chief of a number of Converge360.com sites, with a focus on high-end development, AI and future tech. He’s been writing about cutting-edge technologies and culture of Silicon Valley for more than two decades, and he’s written more than a dozen books. He also co-scripted the documentary film Silicon Valley: A 100 Year Renaissance, which aired on PBS. He can be reached at [email protected].
SYOSSET, New York (WABC) — Days before school returns, hundreds of teachers on Long Island listened and learned.
“We’re excited to be here to share some of the initial work that we were able to do with AI at the time of this pilot,” teacher Tyler Gentilcore said.
Gentilcore was among dozens of educators with the Syosset School District sharing their approach to teaching artificial intelligence in the classroom.
“It feels pretty cool to be on the forefront of something new like this,” he said.
Gentilcore teaches first grade at Robbins Lane Elementary School.
“They’re little so the pilot was really an opportunity for teachers to engage with different AI programs,” he explained.
Programs like Google’s Gemini are now being used by teachers in the classroom, including Syosset High School English teacher Caroline Polatsidis.
“It was just scary because I was worried that students wouldn’t be learning anymore, that they would be letting AI do the work for them, but now I see that we need to harness this great power,” Polatsidis said.
What about cheating? A recent study by the Pew Research Center found that a quarter of teenagers nationwide have used the app ChatGPT for schoolwork.
Most felt it was wrong to use the advanced AI to write essays and solve math problems.
“I actually think people here in this high school use AI to help them with their assignments, but in ways that our teachers actually condone,” NiKhil Shah, Syossett High School senior, said.
“We don’t have any other choice but to do it now. AI is moving at a pace. The world is moving at a pace faster frankly than we can educate our kids,” Syosset Schools Assistant Superintendent David Steinberg said.
It’s not just the teachers who are embracing using AI in the classroom. Many students are too.
“I really started to understand AI in high school as some of my teachers introduced it to me and kind of started to guide us on how to use AI,” Shah explained.
Shah said using AI in school was introduced last year in his Spanish class.
“We would record speaking in Spanish. In order to improve the way we spoke, we would submit it to AI. It would analyze it and show us where we made mistakes, where we could improve,” he said.
Some students are skeptical.
“Personally, I never really was a fan of AI just because of the environmental costs it has,” senior Janice Opal Kang said.
According to the United Nations, the growing number of data centers that house AI servers use massive amounts of electricity, spurring the emission of global warming greenhouse gases.
Back in the classroom, AI is not only transitioning in schools on Long Island. Teachers at St. Benedict’s Prep Catholic School in Newark, New Jersey, are navigating the new world, too.
“It’s really forcing us to reevaluate what it is that we’re teaching and how we’re assessing what kids have learned. It’s really a pretty transformational thing,” teacher Trevor Shaw said.
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AWS, DeepBrain AI Launch AI-Generated Multimedia Content Detector
Amazon Web Services (AWS) and DeepBrain AI have introduced AI Detector, an enterprise-grade solution designed to identify and manage AI-generated content across multiple media types. The collaboration targets organizations in government, finance, media, law, and education sectors that need to validate content authenticity at scale.
In its AWS Marketplace listing, AI Detector is categorized as a private offer, part of a purchasing program that enables sellers and buyers to negotiate custom prices and end user licensing agreement (EULA) terms that aren’t publicly available. This means the product isn’t listed with standard public pricing that anyone can see and purchase immediately. Instead, sellers and buyers negotiate before committing to a private offer that’s different from the public offer.
Architecture Built on AWS Infrastructure
AI Detector operates as a Software-as-a-Service (SaaS) solution leveraging multiple AWS services for enterprise performance and scalability. The architecture centers on Amazon Elastic Kubernetes Service (Amazon EKS) for orchestration, paired with Amazon Elastic Compute Cloud (Amazon EC2) GPU instances from the G5 family. DeepBrain AI recommends g5.8xlarge instances, with g5.2xlarge as the minimum configuration.
The solution also incorporates Amazon Rekognition for visual content analysis, enabling “content authenticity verification and inappropriate content detection,” according to the announcement. An external MongoDB Atlas database provides additional data management capabilities.
The system integrates with several additional AWS services:
- Amazon Simple Storage Service (Amazon S3) for data storage
- Amazon Elastic File System (Amazon EFS) for scalable file storage
- Amazon MemoryDB for in-memory database operations
- Elastic Load Balancing for traffic distribution
- Amazon Route 53 for DNS services
- AWS WAF for application firewall protection
- Amazon Elastic Container Registry (Amazon ECR) for container management
- AWS Lambda for serverless computing functions
Real-World Deployment Shows Promise
The Korean National Police Agency serves as a key customer case study, implementing AI Detector to address rising digital crimes involving manipulated videos and synthetic content. The deployment achieved “over 80% accuracy between real and synthetic media during investigations” while reducing manual verification workloads, according to the AWS Partner Network blog post.
The agency uses the tool to screen “manipulated videos featuring celebrities and inappropriate synthetic content reported by the public,” with improved early-stage content validation enabling faster response times during investigations.
Compliance And Security Features
AI Detector meets multiple enterprise compliance standards, including ISO 27001, SOC 2, GDPR, and ISO 42001. The solution emphasizes four core benefits: accuracy through “cutting-edge detection algorithms,” real-time processing speed, simplified deployment via AWS Marketplace, and comprehensive compliance coverage.
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