Explore how Bayesian deep learning enhances flight trajectory prediction by combining CNNs and RNNs to extract spatial and temporal features from weather data while quantifying uncertainty.

Discover how integrating variational inference with traditional backpropagation enables neural networks to quantify uncertainty by learning a full distribution over their weights.

Leveraging Bayesian deep learning and Three-Way Decision theory to quantify uncertainty in medical AI, ensuring more reliable and interpretable diagnostics for applications like skin cancer detection and radiology.

How to overcome the zero-frequency issue in Gaussian Naïve Bayes for enhanced DDoS detection by leveraging smart data imputation, meticulous feature selection, and effective normalization techniques to bolster cloud security.

By leveraging adversarial learning with Beat-Score Maps (BSMs), this breakthrough approach eliminates patient-specific ECG variations, enabling more reliable and generalizable AI-powered arrhythmia detection across diverse patient datasets.

Discover how BPUCAL introduces a collaborative adversarial learning approach to trajectory data privacy, effectively disrupting user re-identification attacks while preserving the utility of location-based analytics.

Discover how researchers are revolutionizing Neural Architecture Search (NAS) by leveraging Large Language Models (LLMs) to predict model performance before training—making AI development faster, smarter, and more cost-efficient.

Explore how cognitive architectures are transforming Large Language Models (LLMs) by enabling memory, reasoning, and learning—bringing AI one step closer to true intelligence.

Dive into the hardcore mechanics of Large Language Models (LLMs)—from transformer architectures and training bottlenecks to efficiency hacks and the future of AI scalability.

Discover how LLM-Guided Evolution is revolutionizing AI development—enabling models to refine their own architecture, improve efficiency, and evolve smarter, faster than ever before.

Discover how LLM-Modulo enhances AI planning by integrating external critics, enabling Large Language Models to generate, verify, and refine decisions for more reliable, structured problem-solving.

Discover how researchers are revolutionizing Neural Architecture Search (NAS) by leveraging Large Language Models (LLMs) to predict model performance before training—making AI development faster, smarter, and more cost-efficient.

Discover how PriFU introduces a groundbreaking approach to AI privacy by filtering out task-irrelevant details without relying on adversarial learning, making models more secure, efficient, and resistant to evolving privacy threats.

A personal glimpse into the stories, inspirations, and values that shape Gregory Mikuro's journey.

Discover Gregory Mikuro's expertise in AI, Machine Learning, and Data Engineering. Explore cutting-edge tools, frameworks, and real-world solutions.

GPT-4o is revolutionizing how we interact with AI, enabling developers and businesses to build tools that transform industries and everyday lives.

Learn how to install Python, set up your environment, and install essential libraries to begin your data science journey.

Data Science and Artificial Intelligence are reshaping industries with real-world tools, applications, and transformative outcomes.

Our initial conception when we started OpenAI was that we’d create AI and use it to create all sorts of benefits for the world. Instead, it now looks like we’ll create AI and then other people will use it to create all sorts of amazing things that we all benefit from.