NEWS IN BRIEF: AI/ML FRESH UPDATES

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Introducing Amazon SageMaker's Cohere Command R Model

AWS introduces Cohere Command R fine-tuning model on Amazon SageMaker, enhancing LLM capabilities for enterprise tasks. Fine-tuning allows customization for specific domains, leading to significant performance improvements in various industries.

AI Cloud Detection

Satellite imagery enhances monitoring of Earth's changes, but cloud segmentation is crucial. Algorithms like Random Forest and YOLO are compared for cloud removal in Sentinel-2 images. Access data through Copernicus Open Access Hub, Google Earth Engine, or Python package sentinelhub.

Mastering Advanced Retrieval Techniques in Big Data

Google DeepMind launches Visualising AI project to explore RAG techniques for improved retrieval accuracy. Gemini Pro handles 2M token context, highlighting the importance of advanced retrieval techniques for LLMs in fields like law and journalism.

Quantum Machine Learning: Fighting Digital Payments Fraud

Machine learning algorithms aid in real-time fraud detection for online transactions, reducing financial risks. Deloitte showcases quantum computing's potential to enhance fraud detection in digital payment platforms through a hybrid quantum neural network solution built with Amazon Braket. Quantum computing promises faster, more accurate optimizations in financial systems, attracting early int...

America First: Trump Allies Push for AI Dominance

Allies of Trump draft AI executive order to boost military tech and reduce regulations, signaling potential policy shift in 2025. Proposed order includes "Manhattan Projects" for military AI and industry-led agencies to safeguard systems, benefiting companies like Palantir and Anduril.

Revolutionizing Material Predictions with AI

Researchers from MIT developed a new machine-learning framework to predict phonon dispersion relations 1,000 times faster than other AI-based techniques, aiding in designing more efficient power generation systems and microelectronics. This breakthrough could potentially be 1 million times faster than traditional non-AI approaches, addressing the challenge of managing heat for increased efficie...