The ADaSci Journal
Field notes for people who ship AI.
498 articles: deep dives on agents and LLM systems, career guides for AI engineers, and case studies from enterprise programmes.
02 · All articles
Everything, newest first.
Geo-contextual TV Consumption Patterns using Unsupervised Learning methods
Author(s): Harshil Agrawal, Nitin Vinayak Agrawal, Shubham Gupta, Mrigank Shekhar
Time Expression Extraction and Normalization in Industrial Setting
Author(s): Piyush Arora, Bharath Venkatesh, Salil Rajeev Joshi, Rahul Ghosh
Predicting missing product taxonomy in retail: An embedded approach using N-gram Mixture Models and Newton's Method
Author(s): Neeraj Mishra, Sanjay Shukla, Anthony Kilili
InnovFaceNet: Deep Face Recognition for Industrial Environments
Author(s):Nagarjun Gururaj,Kanika Batra
Imbalance Handling with Combination of Deep Variational Autoencoder and NEATER
Author(s): Divye Singh, Jayaraman Valadi, Hrushikesh Bhosle, Aamod Sane, Kanchan Kalunge
Why Organizations Should Choose ADaSci for AI Corporate Trainings: A Case Study of Genpact's SkyDive Global Campus Academy
Elevate your organization's competitive edge with specialized AI and data science corporate training programs, featuring hands-on practicality, industry experts, and measurable ROI.
Revolutionizing Roller Coaster Safety: Integrating Computer Vision, IoT, and Language Models - Dr. Chiranjiv Roy at DLDC 2023
This talk is aimed to explore the integration of cutting-edge technologies to enhance roller coaster safety while preserving the thrill and excitement for riders
From Machine Logs to Actionable Insights: LLMs for Failure Analysis - Paritosh Sinha at DLDC 2023
This talk emphasizes the crucial role of leveraging LLMs to extract actionable insights from machine logs, specifically for failure analysis
Using deep learning for decoding of CAN bus data in vehicle analysis: Gaurav Adke at DLDC 2023
This talks covers the innovative application of deep learning for decoding Controller Area Network (CAN) bus data in vehicle analysis