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Tag: LEIP

Continual object detection in real-time: Adapting to an ever-changing world on the edge

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

Federated learning: Balancing collaboration and privacy in the digital age

With user data, comes great responsibility From kindergartners picking up behavioral skills in the playground to developers using stack exchange to debug code, sociology tells us that humans are constantly learning from each other. If the goal of artificial intelligence (AI) is to imitate and ultimately supersede human intelligence, it only makes sense to utilize … Continued

Why Recipes Mean Reproducible Workflows: The AI Recipe

We previously explained Latent AI technology and how it delivers optimized edge models quickly and reliably by comparing it to the Iron Chef competitive cooking show. We’ve talked about how Iron Chef and Latent AI Recipes can be modified to meet regional tastes or specific hardware, respectively. We also touched on what it means to … Continued

Why AI Needs to be Ergonomic to Succeed

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

Why smaller AI is still important in the age of bigger computers

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

Latent AI Adaptive AI Research Featured in Machine Vision and Applications Journal

Latent AI research regarding dynamically throttleable neural networks was recently accepted for publication by the prestigious Machine Visions and Applications Journal (MVA). Part of the problem with AI has been its inflexibility, especially regarding computing power. Neural networks runtime either fully fire, or not at all. Latent AI research shows how Adaptive AI can respond to its unique environment … Continued

Latent AI Wins 2020 Startup of the Year Award from IoT World

Latent AI’s Efficient Inference Platform (LEIP) recognized by leading IoT experts, analysts, and editors as key edge AI technology bringing AI to a smarter edge. Menlo Park, CA, August 14, 2020 — Latent AI, creators of the Latent AI Efficient Inference Platform (LEIP) and the latest spinout from SRI International, has been recognized as the 2020 “Startup … Continued

Latent AI, Inc. Announces Seed Funding Led by Future Ventures

An SRI International ventures startup, Latent AI emerges from stealth with the Latent AI Efficient Inference Platform™ toolset enabling Adaptive AI™ for a smarter edge. MENLO PARK, CA, June 26, 2019 — Latent AI has spun out of SRI International, the leading independent research and technology center, and closed its first round of venture funding. … Continued