Researchers demonstrate fourfold improvement to LED steering results after enlisting the help of some good old-fashion AI ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
In just three months, Phlow and Enveda generated and analyzed nearly 20,000 unique reactions, creating one of the largest high-quality datasets of its kind. The resulting uniform dataset is ...
Abstract: With the advent of distributed microservices has led to a significant dependence on Application Programming Interfaces (APIs) for exchanging data and functionality integration. However, APIs ...
A production-ready machine learning API built with FastAPI, featuring gradient boosting models for binary classification with comprehensive monitoring, security, and deployment capabilities.
AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Crystal ball: With Valve positioning the Steam Machine as a competitor to the current-gen consoles, many expected it to be priced as such – i.e., around or under $500. But a Valve engineer has ...
This repository contains a production-ready Machine Learning API built with FastAPI for predicting the outcome (WIN or LOST) of deals in a sales pipeline. The core artifact is a pre-trained XGBoost ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
AI Steam updates AI disclosure form to specify that it's focused on AI-generated content that is 'consumed by players,' not efficiency tools used behind the scenes AI Stellar Blade's director says AI ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
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