The Latest from Latent AI

Events

AUSA 2023

At the Army's premiere AUSA 2023 event, we worked in conjunction with our hardware partners to showcase groundbreaking technology that dramatically reduces the time it takes to train models for specific hardware targets. One Stop Systems (OSS) showed how LEIP enables operators to build models on the fly in contested environments and deploy them to various small form factor assets.

St Engineering demonstrated how their Modular Computing Server (MCS) powered by LEIP enables lightning-fast, energy-efficient vehicle detection.

Webinar

In a recent webinar, we showed how the Latent AI Efficient Inference Platform (LEIP) can simplify and speed your AI development by:

• Streamlining DevOps for ML with dedicated tools with built in ML expertise
• Rapidly producing models for different hardware targets and data without having to start from zero every time
• Delivering optimized and secured models at scale

Click here for a webinar recap and to learn how to achieve “Faster ML Project Design and Creation with LEIP Recipes”.

Publications

Generative AI: No Longer a Black Box

We delve into Generative AI’s potential and the need to build trust in these AI systems. What if we could equip developers with tools to deepen introspection and remediation of AI models, enhancing their accuracy, robustness, and diagnosability?

Inside Defense News

Latent AI joins Silicon Valley Defense Group's Call for Defense Innovation Funding. We proudly signed a letter alongside 63 defense and dual-use organizations, emphasizing the vital role of technology innovation in strengthening national security and fostering collaboration between the government and industry.

Velocity Magazine Discover how AI will be key in helping to build sustainable development practices by reducing carbon emissions and cloud costs.

Latent AI Tech Highlights

Explore the strategies for efficient ML development in our ongoing DevOps for ML series:

Part 1: Boosting your Model Performance with LEIP Optimize demonstrates how to fine-tune models for edge deployment with quantization, ensuring peak performance and efficiency.

Part 2: Testing Model Accuracy with LEIP Evaluate focuses on assessing accuracy across various stages of the ML process.

Part 3: Streamlining AI with LEIP Pipeline enhances automation by linking module commands into a shareable workflow.

This series is your guide to achieving optimal models, seamless testing, and streamlined edge AI – all within a dedicated DevOps framework for machine learning. Stay tuned for more in this series next month.

Upcoming Events

SC23 November 14-16 (Denver, CO): Stop by booth #1825 in partnership with One Stop Systems (OSS). We'll unveil cutting-edge AI Transportable solutions, empowering operators with on-the-fly model creation and deployment on OSS small form factor assets. LEIP gives operators cutting-edge advantage by enabling the creation of real-time models on rugged hardware, even in contested environments.

IoT Conference November 14-16 (Virtual): Co-Founder and CTO Dr. Sek Chai will discuss how AI models can be secured for deployment, addressing the critical need for robust security measures to protect against potential threats such as model copying, cloning, reverse-engineering, and tampering.