Elton John, Paul McCartney, and artists demand protection from data crawling. Tech giants exploit AI rules, sparking legislation debate.
AI projects differ from traditional software development in their iterative approach, emphasizing discovery and adaptation. The AI development lifecycle includes problem definition, data preparation, model development, evaluation, deployment, and monitoring.
Amazon Bedrock utilizes generative AI to create intelligent supply chain solutions, mitigating risks and improving agility. Its visual workflow builder connects data sources and AWS services for end-to-end solutions, ensuring resilience in the face of disruptions.
Digital pathology is transforming cancer diagnosis with AI-powered computational pathology. French startup Bioptimus released H-optimus-0, the world's largest FM for pathology, setting a new benchmark in medical diagnostics.
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.
A 6-year Shopify case study reveals the delicate balance between product focus and diversification for optimal business success. Learn how understanding concentration in your product portfolio impacts crucial decisions, with practical strategies and interactive visualizations provided.
Retrieval-augmented generation (RAG) enhances generative AI with specific data sources, improving accuracy and trustworthiness. RAG helps models provide authoritative answers, clear ambiguity, and prevent incorrect responses, revolutionizing user trust.
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.
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.
China's DeepSeek challenges US tech giants with premium AI at a fraction of the cost. A potential Sputnik moment in the AI race, raising questions about strategy and investment.
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.
Apple beats Q1 earnings expectations with 4% revenue increase to $124.30bn. Shares surge 8% after CEO Tim Cook hints at continued growth in next quarter.
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.
Secret sharing ensures secure distribution of sensitive data among parties. Shamir’s algorithm allows parties to pool data without revealing individual values.
New GeForce RTX 5090 & 5080 GPUs with Blackwell architecture power AI content creation. FLUX models require less VRAM & generate images faster.