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Experts educate national security leaders in AI fundamentals.

Training artificial neural networks with data from real brains to make computer vision more robust.

Understanding how Instacart measures the effectiveness of advertising using Randomized Control Trials (RCTs) and the methodology of ad incrementality.

The blogpost discusses how to apply and use machine learning observability in ML systems.

Using Amazon SageMaker Canvas, this blogpost explores how manufacturers can democratize computer vision defect detection in manufacturing quality without requiring traditional coding skills.

The future of large language models is faster and more robust with FlashAttention and state-space models revolutionizing attention mechanisms and model architectures.

Gain valuable insights from analyzing global conversations in this blogpost.

Advanced method for generating 3D molecular conformers using equivariant coarse-graining and aggregated attention

A guide on fine-tuning Falcon LLM 7B/40B on a single GPU with LoRA and quantization for linear scaling across multiple GPUs.

This technical blogpost is about on-device diffusion plugins that enable controllable text-to-image generation in the context of diffusion models.

The blogpost announces the first Machine Unlearning Challenge, which aims to develop efficient, effective, and ethical unlearning algorithms to remove the influence of specific training examples from trained machine learning models while maintaining model accuracy and generalization.

Transforming life sciences by leveraging data sharing in healthcare for advancing medical breakthroughs and improving patient outcomes.