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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

Solving Edge Model Scaling and Delivery with Edge MLOps

The sheer amount of data and the number of devices collecting it means sending it to the cloud for processing is simply too slow and not scalable. Processing has to move closer to the source of the data at the edge. But getting AI models to work on edge devices fails far more often than … Continued

Latent AI Selected as Thales AI@Centech Partner

Latent AI was recently selected by Thales to participate in their upcoming AI@Centech program and recognized as a startup whose AI innovations align with their own market and business opportunities. We are honored to have been chosen out of hundreds of applicants and stand with our fellow three innovators and participants. Thales has successfully executed three seasons of AI@Centech to date, … Continued

Latent AI Spotlight: The Intern Edition

In many ways startup life revolves around community, both in terms of the friendships that form but also in embracing the larger technological one. Latent AI believes in giving back to the technological community and has supported a growing internship program since our founding. This summer, we have been working closely with seven summer interns … 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

Solving Edge AI Challenges in a Hardware Conflicted World

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

Latent AI Gives Back at SBHS Hackathon

Latent AI was the proud sponsor of this year’s South Brunswick High School (SBHS) Hackathon recently held in Princeton, NJ. We sponsored this local event to promote interest in high-tech careers and offer the chance for the next generation of developers and scientists to interact and question professionals who have had industry success. The SBHS … Continued

Closing the Gap Between Edge AI Expertise and Implementation

Latent AI CEO Jags Kandasamy was recently interviewed by cybernews magazine about the state of edge AI and where the industry is headed. In the interview, Jags talks about why edge AI is the inevitable future and the rewards enterprises can gain when they get it right. Unfortunately, most are still struggling to reap the rewards edge … Continued

Gartner Recognizes Latent AI as Unique Edge AI Tech Innovator

Gartner recently published a new report on Tech Innovators in Edge AI, covering the trends and impact of Edge AI on products and services by analysts Eric Goodness, Danielle Casey, and Anthony Bradley.  Latent AI greatly appreciates Gartner’s interest in Latent AI and coverage in this analysis. The following is a summary of the report related to Latent AI … Continued

AI and the New Data Refinery for the Edge Continuum

In 2017, The Economist published an article about The Fuel of the Future:  Data Giving Rise to a New Economy.  Today, this is more true than ever, and prospecting for new data, in the form of new applications and various sensor-driven data acquisition continues at a rapid pace. According to Cisco, in 2020, we generate about 22 exabytes of data … Continued