Latent AI named IoT Emerging Company of the Year for the Enterprise Market
Latent AI was recently honored as the IoT Emerging Company of the Year for the Enterprise Market during the 10th Annual Compass Intelligence Awards. Other IoT category winners included technology stalwarts like Verizon, Samsung, and Palo Alto Networks, so we are doubly pleased to be included on such a distinguished list. Current AI is far ...
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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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LatentAI partners with GreenAI.cloud entering the EMEA market
Take the hard work out of your edge AI development with Latent AI Edge AI is crossing the chasm! For a few years now, we have been witnessing the success stories of early edge AI adopters like autonomous vehicles and intelligent voice assistants. Now, enterprises can capitalize on the value of Edge AI and create ...
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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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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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AI’s Shocking Carbon Footprint
AI’s Shocking Carbon Footprint How Techniques First Invented in the 1920s are Changing That Introduction What do the melting glaciers of Greenland have in common with artificial intelligence? On the surface, not much. But if you dig just a bit deeper, the connection is scarier than you might imagine. Turns out that data is not ...
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The Era of Commercializing AI, Part Two
Supporting Efficient Workflow for Commercializing AI At the early stage of AI commercialization, we are faced with the “dark ages” of tools, infrastructure, and approaches. There are many analogies that we can draw upon to understand where we truly are at this moment. For example, in the early days of the Internet, everyone was building ...
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The Era of Commercializing AI, Part One
Beyond the Valley of Innovation Death Rapid success in deep learning algorithms has spawned new applications in video analytics, speech processing, and natural language processing. New smart products with compelling user experience, driven by the power of AI, can create safer human environments, allows us to work more efficiently, and helps to make communication easier. ...
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AI Moves to the Edge
Edge is Where the Opportunity is and Why AI Needs to Evolve This is a 2-part series on the impact of AI on the edge as compared to the core, and why the approach to building AI algorithms needs to change if they are to operate more efficiently on the edge Introduction From enabling autonomous ...
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