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.
Read More →DeepMind aims to marry deep learning and classic algorithms
Will deep learning really live up to its promise? We don’t actually know. But if it’s going to, it will have to assimilate how classical computer science algorithms work. This is what DeepMind is working on, and its success is important to the eventual uptake of neural networks in wider commercial applications.
Read More →The state of MLOps in 2021
MLOps is the art and science of bringing machine learning to production, and it means many things to many people. The State of MLOps is an effort to define and monitor this market.
Read More →AI ethics in the real world: FTC commissioner shows a path toward economic justice
FTC Commissioner Rebecca Kelly Slaughter lays out machine learning and AI's potential for harm and outlines some ways for the FTC to counter it.
Read More →Building MLGUI, user interfaces for machine learning applications
Machine learning is eating the world, and spilling over to established disciplines in software, too. After MLOps, is the world ready to welcome MLGUI (Machine Learning Graphical User Interface)?
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