What will applied AI look like in 2022?
AI adoption has skyrocketed throughout the last 18 months. Besides Joe McKendrick, who wrote the foundational piece on HBR, professionals who work on AI would readily attest to this statement. Google search seems to be in on this not-so-secret too: When prompted with “AI adoption,” its auto-complete spurts out “skyrocketed over the last 18 months”.
Read More →Taking the world by simulation: The rise of synthetic data in AI
Would you trust AI that has been trained on synthetic data, as opposed to real-world data? You may not know it, but you probably already do — and that’s fine, according to the findings of a newly released survey.
Read More →2022 technology trend review, part two: AI and graphs
AI and graphs have a few things in common: they are multi-faceted, ubiquitous in their applications, and seeing rapid growth in the 2020s.
Read More →2022 technology trend review, part one: Open source, cloud, blockchain
Open source is here to stay, the cloud is catalyzing its growth, and the blockchain ecosystem is growing and diversifying.
Read More →OctoML announces the latest release of its platform, exemplifies growth in MLOps
OctoML is announcing the latest release of its platform to automate the deployment of production-ready models across the broadest array of clouds, hardware devices and machine learning acceleration engines.
Read More →Edge Impulse wants to bring machine learning at the edge to everyone, announces $34M Series B funding
55.000 projects, 30.000 developers, $54M funding, and customers, including the likes of NASA, in a bit over 2 years. Edge Impulse is riding the wave of machine learning at the edge
Read More →LinkedIn and Intel tech leaders on the state of AI
AI is on a roll. Adoption is increasing across the board, and organizations are already seeing tangible benefits. However, the definition of what AI is and what it can do is up for grabs, and the investment required to make it work isn’t always easy to justify. Despite AI’s newfound practicality, there’s still a long way to go.
Let’s take a tour through the past, present, and future of AI, and learn from leaders and innovators from LinkedIn, Intel Labs, and cutting-edge research institutes.
Read More →Speedb is a drop-in replacement for RocksDB that wants to take the embedded key-value store world by storm
RocksDB is the secret sauce underlying many data management systems. Speedb is a drop-in replacement for RocksDB that offers a significant boost in performance and now powers Redis on Flash.
Read More →SambaNova is enabling disruption in the enterprise with AI language models, computer vision, recommendations, and graphs
SambaNova just added another offering under its umbrella of AI-as-a-service portfolio for enterprises: GPT language models. As the company continues to execute on its vision, we caught up with CEO Rodrigo Liang to look both at the big picture and under the hood.
Read More →Nvidia doubles down on AI language models and inference as a substrate for the Metaverse, in data centers, the cloud and at the edge
At Nvidia's GTC event today, CEO Jensen Huang made announcements the company claims have the potential to transform multi-trillion dollar industries. We cherry-pick from the announcements, focusing on the hardware and software infrastructure that powers the applications that make the headlines.
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