Evaluating and building applications on open source large language models
How do you choose the most appropriate model for your application? An analysis on evaluating and building applications on open source large language models. By George Anadiotis The computational complexity of AI models is growing exponentially, while the compute capability provided by hardware is growing linearly. Therefore, there is a growing gap between those two numbers, […]
Read More →The future of AI chips: Leaders, dark horses and rising stars
The future of AI chips is about more than NVIDIA: AMD, Intel, chiplets, upstarts, analog AI, optical computing, and AI chips designed by AI. By George Anadiotis The interest and investment in AI is skyrocketing, and generative AI is fueling it. Over one-third of CxOs have reportedly already embraced GenAI in their operations, with nearly half […]
Read More →AI Chips in 2024: NVIDIA, MLPerf benchmarks, Huang’s law, and competition
What we learned on AI Chips in 2024 by keeping track of NVIDIA’s latest announcements, talking to industry experts, and scanning news and analyses By George Anadiotis Exploring AI chips has been a pastime, as a well as a popular theme in Orchestrate all the Things articles. In 2023, we felt like we fell somewhat […]
Read More →Aerospike Graph: A new entry in the graph database market, aiming to tackle complex problems at scale
“Graph database growth is going strong through the Trough of Disillusionment.” And “Graph Analytics go big and real-time.” These were two of the headlines of the Spring 2023 update of the Year of the Graph newsletter. In combination, they seem like an appropriate summary of the reasoning behind a new entry in the graph database […]
Read More →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 →Redpanda’s “power to the data engineer” strategy lands a $100M Series C funding round
In an era of dried-up funding and Data Lakehouse vendor supremacy, Redpanda is going against the grain. The company just secured a $100 million Series C funding round to execute on an unconventional strategy. Redpanda Founder and CEO Alex Gallego shares how things work for the company. Back in early 2022, a $50 million Series […]
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 →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 →Graph database market maintains momentum, new Neo4j 5 offers cloud and on-premises ease of use and parity
Graph platform Neo4j today announced the general availability of Neo4j 5, the latest version of its cloud-ready graph database. Neo4j is following up on its achievements in 2021, which include surpassing $100 million in annual recurring revenue, closing a $325M series F financing round at over $2B valuation, which it calls “the largest funding round in database history,” and launching a free tier of its fully managed cloud service.
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