There is an artificial intelligence (AI) revolution happening, but it’s not in the cloud, and it doesn’t involve gigantic models that help you write term papers, create cool images, or generate sounds like a human voice. This revolution is a little closer to you—the user. It’s at the network edge in small devices like your … Continued
Practical Edge AI Terminology for Business Decode Edge AI with a business glossary crafted by experts dedicated to unlocking the power of efficient and practical AI for real-world applications. Artificial Intelligence Artificial intelligence, or AI, refers to the technology that enables computers and machines to mimic human intelligence and problem-solving skills. Current examples of this … Continued
Driven by the urgency to solve real-world challenges, organizations increasingly recognize the power of AI. Powerful cloud-based models like large language models (LLMs) or computer vision excel in the cloud but falter when faced with locations that have low bandwidth or fluctuating connectivity to the cloud. For organizations dealing with dynamic situations like disaster recovery … Continued
As a provider of cutting-edge technology, we empower our clients by helping them imagine how Latent AI can solve their unique challenges. Because we sit at the intersection of both federal and commercial interests, we see a variety of use cases that range from adding more capabilities to edge devices like drones to improving the … Continued
Part 1. The promise of Artificial Intelligence (AI) is rapidly becoming reality as its true potential begins to be tapped. The scope of what intelligent applications can do suddenly seems limitless. Re-fueled by the recent surge in Generative AI technology, continued advances promise to produce more capable intelligent systems that perceive, learn, and act autonomously on their own. But … Continued
Instant decision-making and processing is critical in missions where the slightest delay can have significant consequences. Consider search and rescue (SAR) teams entering disaster zones with limited and incomplete information. As the crisis unfolds, situations can change rapidly. This would require the team to quickly adapt their classifications by also accommodating entirely new elements. Without … Continued
As AI becomes further integrated into all aspects of our lives, there is a strong need for us to be able to trust its decisions. Trust is the central part of our relationship with AI. If an AI system operates competently, interacts appropriately, and delivers reliably in an ethical manner, this trust can be established. Consider … Continued
What do smartphones and AI have in common? They both share the letter “A”. They also share status as consumer technology. But they’re not “just” stuff that everyone uses daily; they are tools that can empower us to do more as we build our world. Smartphones have certainly done that: just think about what happened … Continued
What happens to our business if nobody needs bigger, faster computer processors? This was the quiet question keeping computer chip executives awake at night in the early 21st Century. It wasn’t that they were hitting a technical ceiling: their engineers continued to defy “Moore’s Law is dead” doomsayers, cranking out faster and faster chips year … Continued
I recently attended MLOps World and was greatly encouraged by the energy and optimism surrounding AI and what it means for the future. It was a global event with close to 400 international participants representing a wide range of industries who were all by and large seeking new ways to enable and support their ML projects. Titles … Continued
