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 →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.
Read More →The State of AI in 2021: Language models, healthcare, ethics, and AI agnosticism
Takeaways from an action-packed 2021 for AI: Healthcare is just getting started with its AI moment, bigger language models mean bigger complications, and there may now be a third pole for AGI.
Read More →The state of AI in 2021: Machine learning in production, MLOps and data-centric AI
With lessons learned from operationalizing AI, the emphasis is shifting from shiny new models to perhaps more mundane, but practical aspects such as data quality and data pipeline management
Read More →DeepMind is developing one algorithm to rule them all
DeepMind wants to enable neural networks to emulate algorithms to get the best of both worlds, and it’s using Google Maps as a testbed.
Read More →An AI-powered revenue operating system for aviation and beyond: FLYR Labs Lands $150 Million in Series C Funding
A multi-trillion dollar business in crisis, upending incumbents, unfettered ambition, and pragmatic deep learning. FLYR's story has it all.
Read More →Machine learning at the edge: A hardware and software ecosystem
Being able to deploy machine learning applications at the edge bears the promise of unlocking a multi-billion dollar market. For that to happen, hardware and software must work in tandem. Arm's partner ecosystem exemplifies this, with hardware and software vendors like Alif and Neuton working together.
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