#computer-vision

#computer-vision

ODSC AI West 2025 brings together the leading voices, tools, and ideas shaping the future of data science and AI. This year's program features a diverse lineup of sessions that go beyond theory to deliver practical, hands-on strategies for tackling today's most pressing challenges - from building production-ready generative AI systems and deploying resilient agentic workflows to advancing data governance, computer vision, and Bayesian modeling. Whether you're a data scientist, engineer, researcher, or business leader, you'll find sessions designed to give you the skills,

It's because of the talent war that was started by Mark Zuckerberg. I used to work at Meta, and I speak with my former colleagues often about this. When I heard about their compensation packages, I was shocked - it's really in the tens of millions range. But it shows that in this age, AI researchers who make the best models and stand at the frontier of technology are really worth this amount of money.

I got to meet fruit professors who are the best in the world at what they do,

The new feature builds upon Amazon's existing Lens tool by adding instant product recognition as users point their cameras at items in the physical world. "Lens Live instantly scans products and shows real-time matches in a swipeable carousel to make finding the right item easier," said Trishul Chilimbi, Vice President and Distinguished Scientist, Stores Foundational AI at Amazon. The tool operates through AWS-managed Amazon OpenSearch and Amazon SageMaker services, deploying machine learning models at scale for immediate product identification.

"We're addressing the lameness issue, which is a big issue at lots and lots of dairies. They reckon 30% of all cows don't walk as well as they should do."

Through an analysis of computer-vision research papers and citing patents, we found that most of these documents enable the targeting of human bodies and body parts.

An Efficient Chain-Linking Algorithm embodies how creativity thrived in the early days of computer vision when memory constraints innovatively shaped problem-solving and advancements.

The proposed framework exhibits super-balanced performance and efficiency, but has limitations such as the computational cost of the visual backbone and restricted training data.