60 Growing AI Companies & Startups (2025)
How Hands-on AI Experience Is Shaping Future Business Leaders
In a time when AI is reshaping every major industry, the College of Business has emerged as a forward-thinking leader, embedding AI not just at the surface level, but deep into its curriculum, culture and career readiness strategies, starting from day one.
"When ChatGPT made headlines in November 2022, we didn't see it as a threat. We saw an opportunity to lead," said Jim Strode, associate dean of Undergraduate Programs and O'Bleness Professor of Sport Management. "Although there was concern about how AI might impact the classroom, our faculty quickly shifted the conversation to: 'How can we teach students to use AI responsibly and effectively?'"
That proactive mindset led to rapid innovation. The College of Business became the first at Ohio University to integrate a generative AI policy into course syllabi, setting expectations for ethical usage and academic integrity. But the work didn't stop at policy. The college launched a hands-on initiative in Fall 2024 to prepare every business student for a future where AI literacy is essential.
"At the heart of our strategy is making every student not just AI-aware, but AI-capable," said Gabe Giordano, associate dean of Graduate and Professional Programs and O'Bleness Professor of Analytics and Information Systems. "Some institutions hesitated but we acted. We started training students right away, not just in theory, but through practical, meaningful applications."
Nowhere is this strategy more visible than in Copeland Core, the college's first-year business experience. These entry-level courses guide students through fundamental business principles, help them choose majors, connect with student organizations and prepares them for competitive career opportunities.
This isn't about shortcuts or replacing effort. It's about helping students think critically about the use of AI, how to verify outputs and how to use it responsibly. AI is to be used as a tool, not a cheat code.
Gabe GiordanoBeginning last academic year, the college embedded an AI training module into these foundational business courses, built around five key applications known as the "Five AI Buckets." These ensure students gain relevant skills from the outset of their college careers.
"Through the 'Five AI Buckets' classroom discussions, I gained a deeper knowledge of how AI reshapes various aspects of our daily lives," a College of Business student said in a survey. "The lessons highlighted AI's incredible capabilities, especially in areas like problem-solving, information retrieval, ideation, summarization, and its potential for social good. These classroom discussions also made me aware of the ethical challenges that arise from the general use of AI, such as biases in algorithms and data privacy concerns."
The Five AI Buckets include:
"We don't teach anything as just abstract theory," said Paul Benedict, director of the Center for Entrepreneurship and associate professor of instruction. "We wanted students to use it from day one—purposefully, on real-world problems. So we created the Five Buckets. Last year, we used the UN Sustainable Development Goals as a framework, allowing students to apply AI in meaningful, global contexts."
Beyond coursework, students participate in immersive experiences within the college's Centers of Excellence and in applied, capstone-level courses that often focus on AI-driven innovation. These opportunities help students implement AI in internships and stand out in the job market.
"In collaboration with the Center for Entrepreneurship, we hosted rapid prototyping workshops where students built business prototypes in just one hour using only AI tools," Benedict said. "They started with an idea, then used ChatGPT to generate a name, design a logo, build a website, and mockup backend functionality. It showed that even students without coding skills could turn ideas into reality—quickly."
Student feedback underscores the impact of this hands-on, inclusive approach.
"I had never used ChatGPT beforehand, so I had little idea on how to navigate the website," said another Business student. "As we went over the website and how to use it, I began to understand it more and how it can be beneficial from a business standpoint. The first time we used it to create a business was when we wanted to create a business based on helping the environment. AI doesn't have to be this negative technology that takes people's jobs while simultaneously tempting students to cheat on homework and other such things, but a technology that helps people attain their goals and help them to create accurate studies without having them spend many hours reading documents that only have small sections of the needed information."
AI is helping a lot more people launch new businesses better, faster, and cheaper.
Paul BenedictThe integration of AI extends well beyond the first year. Upperclassmen collaborate with real companies on capstone projects and applied coursework, solving real-world challenges with the support of industry mentors. AI modules are now embedded in more than 30 learning communities across the college, ensuring nearly every business student graduates with real experience using these tools.
"From freshman year to graduation, our students are using AI to solve real problems," said Strode. "By the time they start internships, they're not just familiar with these tools—they're leveraging them."
Much of this momentum was sparked by College of Business alumnus and nationally recognized AI thought leader Paul Roetzer. A long-time advocate for the strategic use of AI, Roetzer keynoted faculty retreats in 2018 and 2019, and returned in 2023 with a clear message: AI is not a passing trend—it's a transformative career skill. His insight inspired the formation of dedicated faculty committees and shaped the college's long-term AI strategy.
"Roetzer didn't just show tools—he provided a roadmap," Giordano said. "His input energized faculty and helped institutionalize AI across our programs."
The college's efforts have also culminated in the launch of a new graduate-level AI concentration and certificate. This program allows students to pursue AI as a dedicated specialization, providing advanced training for the next generation of business leaders ready to navigate and lead in an AI-driven world.
"For us, integrating AI means more than teaching tools," said Strode. "It's about developing critical thinkers, ethical leaders and entrepreneurial problem-solvers."
In addition to the College of Business, OHIO's Russ College of Engineering is advancing AI education and research through its new AI major, which prepares students in the rapidly growing field of computer science with a focus on artificial intelligence, machine learning, and deep learning. This program emphasizes the theory and development of AI algorithms for learning, data analysis, optimization, and decision-making—skills that can be applied across a wide range of real-world applications.
"As the world adjusts to the pace of AI, we've built a model that others are beginning to follow," said Giordano. "Our students won't just adapt—they'll lead."
How Google Genie 3 Brings Virtual Worlds To Life Using AI
Dive deeper into Google AI with other articles and guides we have written below.
Applications Across IndustriesGenie 3's versatility makes it a valuable asset across a wide range of fields. Its ability to create and adapt virtual environments in real time has led to innovative applications in the following areas:
These diverse applications highlight Genie 3's potential to drive innovation and streamline workflows across multiple disciplines.
Physical and Behavioral SimulationsOne of Genie 3's most impressive features is its ability to model physical and behavioral interactions with exceptional accuracy. Whether simulating the movement of marine life in an underwater scene or the sway of trees in a rainforest, the model delivers consistent and detailed results. This precision is particularly valuable for scientific research and design, where accurate simulations are essential for testing hypotheses or visualizing complex systems.
Additionally, Genie 3's ability to simulate interactions between objects and agents enhances its utility for creating realistic scenarios. For example, it can model how a group of animals might behave in a shared environment or how objects interact under various physical forces. These capabilities make it a powerful tool for both creative and analytical purposes.
Advancing AI Understanding and AGI DevelopmentGenie 3 plays a pivotal role in advancing artificial intelligence by improving AI's understanding of real-world physics and interactions. This enhanced comprehension is a critical step toward the development of advanced general intelligence (AGI). By allowing AI systems to navigate and make decisions in complex environments, Genie 3 bridges the gap between virtual and physical worlds.
The model's ability to simulate realistic scenarios also supports the development of AI technologies that can operate effectively in real-world settings. For instance, AI agents trained in Genie 3's environments can apply their skills to tasks such as autonomous navigation, disaster response, or industrial automation. These advancements position Genie 3 as a foundational tool for future innovations in AI-driven technologies.
Addressing Current LimitationsDespite its impressive capabilities, Genie 3 is not without its challenges. Some of its current limitations include:
These limitations underscore areas for improvement as the technology continues to evolve. Addressing these challenges will be crucial for expanding the model's functionality and accessibility.
The Road Ahead for Genie 3The future of Genie 3 is filled with possibilities. As advancements in AI technology continue, the model is likely to overcome its current limitations, allowing more complex simulations and interactions. Improvements in accessibility and affordability could also make this technology available to a broader audience, empowering more users to use its capabilities.
Genie 3's ability to create immersive, interactive virtual worlds positions it as a fantastic tool across industries. Its potential to drive innovation in gaming, AI training, scientific research, and beyond ensures that it will remain a cornerstone of AI development for years to come.
Media Credit: Olivio Sarikas
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Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.Nvidia: 'Graphics 3.0' Will Drive Physical AI Productivity
Credit: Nvidia Nvidia has floated the idea of "Graphics 3.0" with the hope of making AI-generated graphics central to physical productivity, especially in factories and warehouses.
The concept revolves around graphics generated by generative AI (genAI) tools as opposed to humans. Nvidia said AI-generated graphics could help in multiple ways, including training robots to do their jobs in the physical world or by helping AI assistants automate the creation of equipment and structures.
[ Related: More Nvidia news and insights ]"We believe we are now in Graphics 3.0…being super
Nvidia's GPUs are widely used by text-based genAI models and virtual assistants. Beyond that, the company hopes Graphics 3.0 will change the physical world by allowing AI to run robots, traffic signals, home appliances, autonomous cars, and equipment in offices, factories and warehouses.
Robots will "assist us in our homes, redefine how work is done in factories, warehouses, agriculture, and more," Nvidia CEO Jensen Huang said in a short video address during an event keynote.
But creating Graphics 3.0 isn't easy, as virtual AI differs from physical AI by relying on data used to train foundation models from the likes of OpenAI and Google. Because physical AI relies on pixels, which aren't as readily available, Nvidia is creating synthetic data by simulating virtual worlds for applications.
"Robots don't learn from code. They learn from experience. But real-world training is slow and expensive," Huang said.
Nvidia has created AI models and simulation tools to create pixels that can ultimately be used to train robots, autonomous cars and other physical AI devices. "We need to invent completely new tools so that artists can conceptualize, create, and iterate orders of magnitude more quickly than they can today," Aaron Lefohn, vice president of research at Nvidia's real-time graphics lab, explained during the keynote.
Nvidia talked about its Cosmos AI models that will help robots take commands, sense, reason, plan, and then execute tasks in the physical world. The models can help robots bring digital intelligence into the physical world, said Sonia Fidler, vice president of research at Nvidia's spatial intelligence lab.
"Physical AI can't scale through real world trial and error. It's unsafe, time consuming and expensive," Fidler said.
For example, autonomous cars are being trained in virtual worlds because crashing cars hundreds of times to create training data is not feasible.
The company also this week announced Omniverse NuRec, which turns real-world sensor data into fully interactive simulations robots can train in or test on. It includes different tools and AI models for the construction, simulation, rendering, and enhancement of 3D digital environments.
The virtual reconstruction of worlds comes through 2D data collected from cameras and sensors. Every pixel is labeled based on a visual understanding of the sensor data.
"It is very important to stress here that visual understanding is not perfect and because of different ambiguities it's hard to perfect," Fidler said.
The company also announced AI material-generation tools to create more realistic graphics "complete with realistic visual details, including reflectivity and surface textures," Lefohn said.
3D experts and engineers can "engage AI assistants using simple language to describe their requirements," Lefohn said.
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