Latent AI

One of Booz Allen Hamilton’s Ventures' first AI-focused investments, Latent AI is making dual use, efficient, scalable #AI solutions a reality for defense and intel missions, and for commercial applications including sports and entertainment. Read more here from Latent's Jags Kandasamy and our own Brian MacCarthy about this new development. https://lnkd.in/gv__mhM6

Welcome, Annika S.! We're thrilled to introduce our newest intern, Annika, who joins us with a strong background in computational linguistics. Annika recently completed her Master's degree from Brandeis University after pursuing her undergraduate studies in Linguistics at the University of Toronto. She recently interned at a Retrieval Augmented Generation-focused startup where she analyzed input data through various machine learning techniques such as unsupervised clustering to improve user experience and product consistency. At Latent AI, Annika is helping to expand the capabilities of our LEIP Benchmark tool to encompass Large Language Models (LLMs). This ambitious project aims to develop an automated system for performance comparison of LLMs across diverse hardware platforms and with different optimization settings. This will enable Latent AI to generate a database comparing the latency, throughput, power, and memory requirements of many popular models, allowing our customers to better integrate language models into edge applications. We are excited to have Annika on board. Stay tuned for future updates on her progress at Latent AI! #LatentAI #InternSpotlight #ComputationalLinguistics #LLMs #EdgeComputing

Developing an AI model is just the first step. Its true potential lies in real-world deployment, often on resource-constrained edge devices. But bulky models can struggle with limited memory and processing power. Latent AI will help you optimize your models for edge environments, ensuring: ⚡Faster Inference: Streamline your model for quicker results. ⚡Reduced Power Consumption: Optimize for efficiency and longer battery life. ⚡Hardware Compatibility: Ensure seamless operation on edge devices. Read our latest blog for an in-depth look at AI model compilation: https://lnkd.in/eFVXJSWz #AI #MachineLearning #EdgeAI #EdgeComputing #AIoT #InternetOfThings #DistributedAI

🎳 Big news! We're thrilled to announce our partnership with FSP to launch the first-ever AI-verified competitive sports network! 🏆 Introducing the Million Dollar Roll - a groundbreaking global bowling league that's changing the game. Our edge AI technology enables instant, tamper-proof score verification right at the lanes, no complex sensors or cloud connectivity needed. Why this matters: • Real-time score validation across thousands of lanes globally • No need for expensive sensor systems • Completely tamper-proof results • Works even without internet connectivity And this is just the beginning! We're planning to expand this trusted sports platform to: • Pickleball • Badminton • Table tennis 💡From defense applications to revolutionizing competitive sports - this is what edge AI can do! Read more here: https://ow.ly/Ofi050Usbjc #EdgeAI #SportsInnovation #AI #TechnologyInnovation #CompetitiveSports #LatentAI #TrustedSports

⭐ We recently teamed up with Latent AI and Carahsoft to talk about how your team can innovate, adapt, and collaborate in service of your mission goals by utilizing emerging AI technologies. We're designing better models faster so that our DoD and Intel Community (IC) customers can scale development, meet demanding production deadlines, and retrain models for detecting objects and threats on the ground, in the air, or underwater. 💡 Watch this webinar with our CEO and Co-founder, Moses Guttmann, and Jags Kandasamy, CEO and Co-founder of Latent AI, as they talk through the challenges and opportunities of accelerating AI development and deployment on the edge for mission-critical applications. Watch now ➡️ https://lnkd.in/gspvhmB5 #ai #enterpriseai #edgeai #aicompute #aitechstack #aiinnovation #innovation

How can AI models adapt to evolving deployment needs in the field? Join Latent AI Research Scientist, Koray Ozcan as he shows you how LEIP Optimize allows you to: ⚡Retrain AI models in the field: Adapt to changing environments and new data without relying on cloud connectivity. ⚡Optimize for on-device performance: Achieve lightning-fast inference speeds and minimize power consumption. ⚡Fine-tune pre-trained models: Adapt existing models to your specific needs and maintain accuracy. ⚡Deploy optimized models instantly Click to watch the full demo: https://lnkd.in/eGMNEju5 #AI #Android #MachineLearning #EdgeAI #DeepLearning #LatentAI #LEIP #OnDeviceAI

Silicon Republic recognizes Latent AI as a key player in the #IoT space! We're empowering companies to optimize AI models for edge devices, unlocking real-world #AI applications. Read the full article here: https://lnkd.in/eAngVFYd See how at latentai.com

Latent AI and Future of Sports (FSP) are revolutionizing competitive sports with the first AI-verified scoring platform! The FSP Trusted Sports Network: ⚡Delivers instant, secure scoring for bowling, badminton, pickleball & more ⚡Uses edge AI for real-time verification across thousands of venues globally Read more about how we're transforming sports & the blueprint for broader AI adoption: https://lnkd.in/eRhB6CYx #AI #EdgeComputing #SportsTech #Innovation #LatentAI #FSP

Deploying large AI models on edge devices can be a challenge, especially in remote locations with limited resources. But what if you could compress your models without sacrificing accuracy? In this new video from Latent AI, ML Engineer Adnaan Yunus shows you how LEIP Optimize enables you to reduce model size, boost inference speed and optimize power efficiency. Watch the full video with demo here: https://lnkd.in/eBViUcgq #AI #MachineLearning #EdgeComputing #LEIPOptimize #LatentAI

Silicon Republic recognizes Latent AI as a key player in the #IoT space! We're empowering companies to optimize AI models for edge devices, unlocking real-world #AI applications. Read the full article here: https://lnkd.in/eAngVFYd See how at latentai.com