NEWS IN BRIEF: AI/ML FRESH UPDATES

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Rapid 3D Genomic Structure Calculations with AI

MIT chemists use generative AI to predict 3D genome structures, revolutionizing analysis speed and cell-specific gene expression research. Their model, ChromoGen, can quickly analyze DNA sequences to determine chromatin structures in single cells, opening new research opportunities.

Boost Your DeepSeek Models with RTX 50 Series AI PCs

The DeepSeek-R1 model family offers powerful reasoning models for AI enthusiasts, running on NVIDIA GeForce RTX 50 Series GPUs with up to 3,352 trillion operations per second. These models can tackle complex tasks like math, code, and problem-solving, enhancing user experiences on PCs and unlocking agentic workflows.

Efficient Email Classification with Amazon Bedrock

Foundation models (FMs) are surpassing supervised learning in text classification tasks, with benefits like rapid development and extensibility using Amazon Bedrock. Travelers and GenAIIC collaborated to build an FM-based classifier for automating service request emails, saving thousands of hours with 91% accuracy.

DeepSeek: Revolutionizing AI - Listen Now!

Chinese AI company DeepSeek's new chatbot rivals OpenAI's ChatGPT with superior performance and efficiency, causing a stir in US tech stocks. The Guardian explores DeepSeek's breakthrough, addressing security, censorship, and the impact on the US AI industry.

Maximizing Accuracy: Pruning MNIST Data for 99%

Data-centric AI can create efficient models; using just 10% of data achieved over 98% accuracy in MNIST experiments. Pruning with "furthest-from-centroid" selection strategy improved model accuracy by selecting unique, diverse examples.

Unleashing Hidden Patient Insights with AI and Amazon Bedrock

Aetion leverages real-world data to uncover hidden insights with Smart Subgroups and generative AI, transforming patient journeys into evidence. Aetion's use of Amazon Bedrock and Anthropic's Claude 3 LLMs enables users to interact with Smart Subgroups using natural language queries, accelerating hypothesis generation and evidence creation.

Maximizing Marketing Impact: Contextual Bandit Simulation

Bandit algorithm vs A/B test: When A/B tests fail due to multiple variants or one-off campaigns, bandit algorithms offer a more efficient solution by focusing budget on the best performing ad variant in real-time. Bandit algorithms maximize rewards by serving the ad variant with the highest KPI, making them ideal for campaigns with numerous treatments or special events.

SoftBank Eyes $25bn Investment in OpenAI

SoftBank in talks to invest up to $25bn in OpenAI, becoming largest financial backer of ChatGPT startup. Potential $15-25bn deal with San Francisco-based company reported by Financial Times.

Mastering Gradient Boosting Regression in C#

Article discusses Gradient Boosting Regression Using C# in Microsoft Visual Studio Magazine, presenting a demo of a simple version compared to XGBoost, LightGBM, and CatBoost. The demo showcases the step-by-step process of predicting values with gradient boosting regression.