Founded in 2014, Interview Kickstart provides structured upskilling programs for software engineers, data professionals, and ...

Applied Digital benefits from AI data center demand, a REIT shift, modular sites, hyperscaler deals, and a $1B NOI target.

The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence solutions and strengthen decision-making capabilities using data.

IITM Pravartak Technologies Foundation, the Technology Innovation Hub of IIT Madras, has opened admissions for the second batch of its Advanced Certificate in Applied Artificial Intelligence & Deep ...

As organizations plan for 2026, a clear structural shift is emerging in how technical talent is valued and deployed. Amid this shift, Interview Kickstart has introduced an advanced machine learning ...

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 ...

Valve’s second big foray into first-party PC hardware isn’t a sequel to the much-imitated Steam Deck portable, but rather a desktop computer called the Steam Machine. And while it could go on your ...

Q4 Highlights: Applied Materials reported fourth-quarter revenue of $6.8 billion, beating analyst estimates of $6.67 billion. The chip equipment manufacturer reported fourth-quarter adjusted earnings ...

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.

Background: Non-alcoholic fatty liver disease (NAFLD) is increasingly prevalent among adolescents and poses a significant public health challenge. Due to limitations in imaging and invasive diagnostic ...

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 ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...