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Research#autonomous vehicles📝 BlogAnalyzed: Jan 3, 2026 06:43

Anantha Kancherla — Building Level 5 Autonomous Vehicles

Published:Mar 23, 2022 15:12
1 min read
Weights & Biases

Analysis

The article discusses the challenges of building and deploying deep learning models for self-driving cars. It focuses on the work of Anantha Kancherla and Lukas, likely highlighting their insights and experiences in this field. The source, Weights & Biases, suggests a focus on the technical aspects of model development and deployment, potentially including model training, evaluation, and productionization.
Reference

The article doesn't provide a direct quote, but it implies a discussion about the challenges of building and deploying deep learning models for self-driving cars.

Research#AI Applications📝 BlogAnalyzed: Dec 29, 2025 08:36

Nexus Lab Cohort 2 - Bite.ai - TWiML Talk #65

Published:Nov 8, 2017 22:59
1 min read
Practical AI

Analysis

This article summarizes a podcast episode from the "Practical AI" series, focusing on Bite.ai, a startup from the NYU Future Labs AI Summit. Bite.ai, founded by Vinay Anantharaman and Michal Wolski, leverages convolutional neural networks and machine learning to analyze food through its app, Bitesnap. The app provides nutritional information based on a photo and serving size. The episode delves into the app's functionality, the underlying machine learning models, and the company's competitive strategy. The article highlights the connection to NYU Future Labs and previous interviews, providing context for the discussion.
Reference

Bite is using convolutional neural networks and other machine learning to help computers understand and reason about food.