LinkedIn’s feed evolution: more granular and powerful machine learning, humans still in the loop
LinkedIn’s feed has come a long way since the early days of assembling the machine learning infrastructure that powers it. Recently, a major update to this infrastructure was released. We caught up with the people behind it to discuss how the principle of being people-centric translates to technical terms and implementation. How do data and […]
Read More →Useful Sensors launches AI in a Box, aiming to establish a different paradigm for edge computing and TinyML
Would you leave a Google Staff Research Engineer role just because you want your TV to automatically pause when you get up to get a cup of tea? Actually, how is that even relevant, you might ask. Let’s see what Pete Warden, former Google Staff Research Engineer and now CEO and Founder of Useful Sensors, […]
Read More →The EU AI Act effect: Background, blind spots, opportunities and roadmap
The EU Parliament just voted to bring the EU AI Act regulation into effect. If GDPR is anything to go by, that’s a big deal. Here’s what and how it’s likely to effect, its blind spots, what happens next, and how you can prepare for it based on what we know. The last few months […]
Read More →What’s new in AI, Part 1: Generative AI with Dan Jeffries
On Stability AI and Stable Diffusion’s rise to prominence, open source, business models, AI, use cases, and how to use and fine-tune Stable Diffusion What’s new in AI? That may sound like a moot question for a domain that has been moving extremely fast and making the news on a daily basis for the last […]
Read More →AI politics: From pausing to regulating AI, it’s all about winning hearts and minds
“The Letter” was just the beginning. Welcome to the AI politics show. Grab some popcorn, or better yet, get in the ring. “I got a letter from the government Future of Life Institute the other day I opened and read it, it said they were suckers They wanted me for their army or whatever Picture […]
Read More →Orchestrate All The Things: Owning Tech, Data, Media, AI, Writing, and Content
On AI-generated content, writing, new, old, and broken media, platforms, models, audiences, and body parts. Why do so many people want to be writers? That’s the kind of question SEO-optimized content is generated for. I for one did not, at least not in the romanticized way many people think about writing. But when i was […]
Read More →ChatGPT is AI’s Facebook moment. Don’t fall for it this time.
GPT-4, arguably the most powerful AI model ever, has just been released. The expectation was that this was going to be massive. OpenAI’s announcement does not focus on model size, but on capabilities. They seem impressive, and GPT-4 is purportedly being used at the likes of Stripe and Morgan Stanley. The question i posed just before […]
Read More →Andrew Ng’s Netail offers AI for retailers to ease change from physical to digital
Retail is big business. But like many other sectors it’s undergoing a transformation, largely affected by the shift of consumer behavior from physical to digital. Many retailers are looking to analytics and artificial intelligence (AI) to help them cope with the challenges. Andrew Ng, among the most prominent figures in AI, is now turning his sights to doing precisely that with his new venture Netail.
Read More →Red Hat and IBM team up to enhance AIops with an open-source project
AIops is what you get when you combine big data and machine learning to automate IT operations processes, including event correlation, anomaly detection and causality determination. At least, that’s how Gartner defines it.
Read More →Top AI investors reveal State of AI in 2022
If you think artificial intelligence (AI) is moving at a breakneck speed and it’s almost impossible to keep up, you’re not alone. Even if being on top of all things AI is part of your job, it’s getting increasingly hard to do that. Nathan Benaich and Ian Hogarth know this all too well, yet somehow they manage.
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