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Design Speed Takes the Lead: Trek Bicycle Competes in Tour de France With Bikes Developed Using NVIDIA GPUs

NVIDIA

NVIDIA RTX is spinning new cycles for designs. With its new partner Lidl, an international retailer chain, Trek Bicycle also owns a cycling team, now called Lidl-Trek. Bicycle design involves complex physics — and a key challenge is balancing aerodynamic efficiency with comfort and ride quality.

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Generative AI is building the foundation of proptech’s next wave

Flipboard

Riding on the euphoria generated by these technological developments, about $49 billion in venture capital was invested in AI in 2022 — 40% more than a year earlier, per CB Insights. Notably, some of the most valuable companies in the early years of the real estate tech cycle have created significant value across the subsectors listed below.

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Commercializing AI in Healthcare: The Jobs to be Done

Flipboard

In addition, there tends to be a wide gradient of labor challenges across different domains; e.g. the revenue cycle department likely has more labor pressure than the marketing department. Note that some JTBDs did not make it onto the map based on these criteria, per the note in the graphic above (e.g.

AI 165
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Making LLMs Friendly With Fine-Tuning, Open-Source Data Engineering Tools, and GPT Store Highlights

ODSC - Open Data Science

The Rollercoaster Ride of AI: Hype, Hope, and Reality Society’s adoption of innovation seems destined to traverse a bumpy course from hype to disillusionment, yet beneath each cycle substantive progress accrues. Many people (optionally) bring projects to work on, and many other people (optionally) socialize the entire time.

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Pedals and Probabilities: A Practical Guide to Understanding Probability (Part 1)

Mlearning.ai

In this three-part blog series, we delve into the basics of probability and conditional probability, using the engaging context of cycling and supplemented by dynamic Python simulations. Example 2: Bike Route Planning Let’s switch gears and explore a more exciting scenario involving cycling.

Python 52
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The art of data development for Enterprise LLMs

Snorkel AI

We’ve seen a cycle in the past few months in which people went from thinking that generative AI will solve anything and everything to actually trying it out, and realizing that it’s not actually “one click to solve all problems.” Do you want to go riding on steep hills or just normal road bike riding?

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The art of data development for Enterprise LLMs

Snorkel AI

We’ve seen a cycle in the past few months in which people went from thinking that generative AI will solve anything and everything to actually trying it out, and realizing that it’s not actually “one click to solve all problems.” Do you want to go riding on steep hills or just normal road bike riding?