NEWS IN BRIEF: AI/ML FRESH UPDATES

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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.

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.

Evolution of Writing: Spell Check to AI

AI tools have been part of our daily lives since the introduction of spell checkers in 1979. Today's AI conversation is just the next step in a long journey, with left brain tools like NLP and machine learning, and right brain tools like Generative AI.

Revolutionizing Human-AI Collaboration at MIT

MIT students showcase innovative AI projects at NeurIPS 2024: "Be the Beat" suggests music based on dance moves, "A Mystery for You" cultivates critical thinking skills in an educational game. Both projects exemplify AI's potential to catalyze creativity and reshape human-computer interactions.

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.

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.