A/B Testing vs. Reject Inference: Selecting the Right Sample Size. Comparing two groups in A/B testing or selecting a representative sample for reject inference is crucial for unbiased results. Understanding success metrics like proportions or absolute numbers is key for accurate experimentation.
Meta's AI assistant, sparking privacy concerns, now on £299 Ray-Ban Meta sunglasses in the UK. The assistant generates text and images on social media platforms in the UK and Brazil.
Amazon Lookout for Metrics, a ML anomaly detection service by Amazon, will end support on October 10, 2025. Customers can transition to alternative AWS services like Amazon OpenSearch, CloudWatch, Redshift ML for anomaly detection.
Sir Demis Hassabis, Google DeepMind chief and Nobel prize winner, emphasizes AI benefits but stresses importance of addressing risks as seriously as the climate crisis. Hassabis, known for designing hit game Theme Park at 17, highlights the significance of balancing innovation with caution in the tech industry.
Amazon Q Business is an AI assistant with over 40 connectors, including Slack, to enhance productivity and knowledge sharing. The integration with Slack allows for quick and secure access to valuable organizational knowledge through generative AI capabilities.
Researchers from MIT, CMU, and Lehigh collaborate on DARPA-funded METALS program to optimize multi-material structures for aerospace applications, including rocket engines. Project merges classical mechanics with AI design tech for compositionally graded alloys, enabling leap-ahead performance in structural components.
Geoffrey Hinton and John Hopfield awarded 2024 Nobel prize for pioneering artificial neural networks inspired by the brain. Their work revolutionized AI capabilities with memory storage and learning functions mimicking human cognition.
Learn how to run Rust code in the browser using WebAssembly, providing dynamic web pages with privacy benefits. Follow nine rules for porting code to WASM in the browser, ensuring successful implementation and integration.
Time series forecasting is crucial for predicting future values, but faces challenges like seasonality and manual tuning. Amazon SageMaker AutoMLV2 simplifies the process with automation, from data preparation to model deployment.
Prompt caching is a game-changer for reducing computational overhead and latency in attention-based models like GPT. Google, Anthropic, and OpenAI are leading the way with innovative caching techniques for long prompts, improving efficiency and reducing costs significantly.
Blake Montgomery takes over as the new writer of TechScape, discussing a middle school's tech ban and opting out of AI training. Stay updated with the latest tech news by signing up for the newsletter.
Implementing logistic regression using JavaScript to predict sex based on age, state, income, and political leaning. Training with batch gradient descent yields a model with 75% accuracy on test data.
NVIDIA's accelerated computing is driving energy-efficient AI innovations, reducing energy consumption significantly while powering over 4,000 applications. Agentic AI is transforming industries by automating complex tasks and accelerating innovation, with NVIDIA collaborating on groundbreaking projects like real-time AI searches for fast radio bursts.
Transitioning from software engineer to machine learning engineer at FAANG companies involves 7 key steps, including finding motivation, exploring ML basics, networking, and finding your niche within the ML landscape. Understanding your interests and leveraging your current skills strategically are essential for a successful transition.
Pre-training large language models (LLMs) with torchtitan library accelerates Meta Llama 3-like models, showcasing FSDP2 and FP8 support. Amazon SageMaker Model Training reduces time and cost, offering high-performing ML compute infrastructure.