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Author: Motion Tactic

Faster ML project design and creation with LEIP recipes

Our recent webinar shed light on the potential of LEIP Recipes to accelerate meaningful results, enhance model optimization, and minimize the time and effort invested in machine learning projects. Recipes are customizable templates within the Latent AI Efficient Inference Platform (LEIP), a comprehensive software development kit (SDK) to simplify and expedite your AI development. By streamlining DevOps for ML through specialized … Continued

Generative AI: No longer a black box

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

DevOps for ML Part 3: Streamlining edge AI with LEIP pipeline

Part 1: Optimizing Your Model with LEIP Optimize Part 2: Testing Model Accuracy with LEIP Evaluate Welcome to Part 3 of our ongoing DevOps For ML series that details how the components of LEIP can help you rapidly produce optimized and secured models at scale. In Parts 1 and 2, we have already explored model … Continued

DevOps for ML Part 2: Testing model accuracy with LEIP evaluate

Part 1: Optimizing Your Model with LEIP Optimize The Latent AI Efficient Inference Platform (LEIP) SDK creates dedicated DevOps processes for ML. With LEIP, you can produce secure models optimized for memory, power, and compute that can be delivered as an executable ready to deploy at scale. But how does it work? How do you … Continued

Latent AI and the Atlantic Council

How a New AI Edge Continuum Architecture Can Better Enable JADC2 Objectives Latent AI recently held a series of sessions with the Atlantic Council to explore the best ways to support Joint All-Domain Command and Control (JADC2) strategy objectives with AI. We are proud to say the results of those sessions have just been published as … Continued

DevOps for ML Part 1: Boosting model performance with LEIP Optimize

The Latent AI Efficient Inference Platform (LEIP) creates specialized DevOps processes for machine learning (ML) that produce ultra-efficient, optimized models ready for scalable deployment as executable files. But how does it work? How does AI actually go from development to deployment to a device? In this series of blog posts, we’ll walk you through the … Continued

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 building trust in AI begins in development

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

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