Latent AI Named Exploding Topic Top Edge AI Startup
Latent AI is included in the most recent Exploding Topics newsletter as a top Edge AI startup. Also included was their prediction that the Edge AI market will grow to $1.15B by 2023 (representing a CAGR of 27%). We don’t disagree. When incremental improvements in Edge AI inference can yield exponential returns in production, it’s ...
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Deploy optimized AI models quickly with Latent AI LEIP Recipes
There are few things that can increase an organization’s bottom line like an Edge AI implementation that delivers on its potential. Imagine a tractor enabled with AI computer vision that needs to limit its speed to 20mph to be able to recognize what is a weed and what is a crop. If the inference speed ...
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How to Mitigate the Chip Shortage Crisis with Software
We have an insatiable demand for technology in all aspects of our lives. We need technology to make our work more efficient, our lives safer and healthier, and our lifestyles more comfortable. Central to the technology are the semiconductor chips that are responsible for the computations that make our electronics smarter. Experts have been warning ...
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White Paper: Unlocking the Power of Edge AI
In this white paper, we are presenting key needs and solutions to enable the AI factory, which is essential to deploying the next generation of edge AI solutions. Read more about the case for the edge continuum, the AI factory, MLOps, and how Latent AI’s LEIP SDK can be used in the various phases of ...
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Latent AI Releases LEIP 2.0
During the last year of our Latent AI Efficient Inference Platform (aka “LEIP”) Evaluation program we’ve had the opportunity to work with many engineering teams from multiple industry verticals to live-test our initial release of the LEIP SDK. Most of these learnings were invaluable and much of the feedback has been incorporated into our just-upgraded ...
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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 ...
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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 ...
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The Quantization Myth
Demystifying Quantization Do you need high bit-precision to operate neural networks? More specifically, do you need a high bit-precision processor to run neural network inferences in the same level of fidelity that you’ve trained them? These concepts seem to be popular myths but are not true. A large part of the confusion around these myths ...
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Defining the Edge
Edge Computing Started with the Abacus Edge computing and edge AI are extremely popular tech buzzwords today. Just do a quick Google search for this term and you’ll get about 233 million results in less than a few seconds. Yes, there’s an overwhelming amount of information about edge computing and especially the importance of moving ...
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Scaling Edge AI in a Data Driven World, Part Two
The Essence of Edge AI Many applications today need edge computing. However, due to privacy issues, the need for real-time responses, and lack of network connectivity, applications are often compromised. A similar position supporting edge computing comes from the argument around network scalability. The cost and latency for network backhaul can be problematic, especially when ...
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