AI deciphers long-range DNA signals behind RNA splicing

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

AI Humanizers Promise More ‘Human’ Writing—But Authenticity Is Hard To Capture

AI humanizers promise to make AI-generated text sound more natural. Learn how they work, why they're popular, and whether ...
The Manila Times

Crypto Investors Watch Utility-Based Projects as Solana Unchained Nears the End of Phase 4

Solana Unchained, a decentralized infrastructure project focused on integrating artificial intelligence with the Solana ecosystem, today announced that its Phase 4 public token distribution has ...

Microsoft’s open-source SkillOpt automatically upgrades AI agent skills without touching model weights

Microsoft's SkillOpt brings deep-learning discipline to AI agent skills, replacing manual prompt tweaking with mathematically validated text optimization.
IEEE

ZACHO: Zero-Shot Agile Circuit Hardening Optimizer via Deep Reinforcement Learning

Abstract: As integrated circuits (ICs) continue to scale, soft errors pose a growing threat to system reliability—particularly in safety-critical applications. Among various circuit components, ...
GitHub

GEM: A Deep-Learning Workload Optimizer

Deep learning workloads are dominated by matrix multiplications followed by element-wise operations (bias addition, activations). Standard libraries like rocBLAS and cuBLAS optimize GEMM independently ...
GitHub

index.md

The Adam optimizer is an adaptive learning rate optimization algorithm designed for deep learning and general-purpose optimizations. It combines the advantages of RMSProp and momentum-based methods to ...
eWeek

Deep Learning vs Generative AI: Understanding the Key Differences

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...