Open models were supposed to democratize artificial intelligence. Instead, security researchers now say they are handing cybercriminals industrial grade tools that can be downloaded, modified, and ...

The 2,500 questions that make up the exam are specifically designed to probe the outer limits of what today’s AI systems cannot do.

Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how ...

Overview: Programmers prefer Python in AI, data science, and machine learning projects, while JavaScript is useful in web and full-stack development.GitHub and ...

This virtual panel brings together engineers, architects, and technical leaders to explore how AI is changing the landscape ...

GATE Data Science Important Topics: GATE Data Science & Artificial Intelligence (DA) Important Topics cover the key areas that carry high weightage in the exam. These topics are selected based on the ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Abstract: Electroencephalography (EEG) is a well-established method in neuroscience and bioengineering that offers valuable information about brain function. Recent technological advancements have led ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

This study reviews the advancements in AI-driven methods for predicting stock prices, tracing their evolution from traditional approaches to modern finance. The role of AI in the market extends beyond ...

Abstract: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...