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.
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.
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.
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.
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.
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.
New GeForce RTX 5090 & 5080 GPUs with Blackwell architecture power AI content creation. FLUX models require less VRAM & generate images faster.
Authors Guild launches Human Authored portal for members to confirm books are not AI-generated, with logo for proof on covers.
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.
Secret sharing ensures secure distribution of sensitive data among parties. Shamir’s algorithm allows parties to pool data without revealing individual values.
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.
Italian and Irish regulators demand answers from DeepSeek over data use concerns. Chinese chatbot app unavailable in Italy amid government data fears.
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.
Meta CEO Mark Zuckerberg predicts a big year ahead after reporting $48.39bn in Q4 revenue, surpassing projections. Zuckerberg highlights progress in AI, glasses, and social media future for 2025.
Researchers from MIT and others discovered the indoor training effect: AI agents trained in less noisy environments outperformed those trained in noisy ones, challenging conventional wisdom. The study, presented at the AAAI Conference, suggests new approaches to training AI agents for better performance.