NEWS IN BRIEF: AI/ML FRESH UPDATES

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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.

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.

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 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.

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.

AI Mishaps in AdTech

Challenges transitioning to deep learning in AdTech led to incidents, but ultimately improved ML platform performance. Incident management strategies crucial for robust model pipelines in production.

Lloyds Banking Group Announces Closure of 136 Branches

Labour government confirms support for third Heathrow runway, inviting proposals for assessment by summer. Chinese AI startup DeepSeek's Qwen 2.5-Max release on Lunar New Year highlights its rapid rise, pressuring both overseas and domestic competitors.

Vector Revolution: Redefining Business Success

Vectors are the hidden force behind AI, offering a dynamic view of relationships and patterns in data. Understanding vector thinking is crucial for business leaders to make informed decisions and stay ahead in the digital age.

Unleashing Vision Language Models

VLMs combine text and visual inputs for tasks like VQA and Image Captioning, bridging the gap between textual and visual data. Techniques for prompting VLMs include zero-shot, few-shot, and object detection guided prompting, enhancing models' understanding of tasks.