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.
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.
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.
New GeForce RTX 5090 & 5080 GPUs with Blackwell architecture power AI content creation. FLUX models require less VRAM & generate images faster.
Secret sharing ensures secure distribution of sensitive data among parties. Shamir’s algorithm allows parties to pool data without revealing individual values.
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.
Authors Guild launches Human Authored portal for members to confirm books are not AI-generated, with logo for proof on covers.
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.
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.
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.
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.
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.
AI experts warn of increasing malicious potential in AI systems, with DeepSeek posing safety risks, says Yoshua Bengio. US dominance challenged by Chinese startup in the field of AI.
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.