Discover the key differences between Data Science, Data Engineering, and AI. Learn about their unique roles, technical ...

In this week’s edition of The Prototype, we look at how a new discovery could lead to unsinkable ships, the billions invested in AI “neolabs” and more.

Accenture is currently recruiting for the position of Data Science Consultant specializing in AI and Hi-Tech at their Hyderabad office. The candidate will work ...

Master AI hackathons with this comprehensive playbook on Vibe Coding. Learn how to build winning AI hackathon apps using AI ...

Washing machines aren’t what they used to be. Some new appliances have over a dozen cycles, and then there are a slew of other things to consider, including water temperature, spin speed, cycle ...

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.

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 ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

Experiment tracking is an essential part of modern machine learning workflows. Whether you’re tweaking hyperparameters, monitoring training metrics, or collaborating with colleagues, it’s crucial to ...

The role and use of race within health-related artificial intelligence and machine learning (AI/ML) models has sparked increasing attention and controversy. Despite the complexity and breadth of ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research. Both ...

Abstract: Medical diagnosis is a key step in delivering best healthcare and it has to be accurate and timely. Despite that, conventional diagnostic methods are imperfect; there is human error, ...