LightGBM used for anomaly detection in Autoencoder class. Models predict values based on other columns to identify anomalies.
Researchers from MIT and ETH Zurich developed an AI model to identify different stages of DCIS from breast tissue images, potentially streamlining diagnosis and treatment. By analyzing the spatial organization of cells, the model could help clinicians predict which DCIS cases may progress to invasive cancer, paving the way for more efficient and personalized care.
NVIDIA AI Foundry helps businesses create custom AI models tailored to their industry needs, with support from leading companies like Amdocs and Capital One. The service includes foundation models, accelerated computing, expert support, and a partner ecosystem to drive AI innovation.
Samsung's Z Flip 6 debuts with enhanced battery, camera, screen, and AI features, making it a compact clamshell powerhouse for 2024. The sleek folding phone boasts a faster chip, longer battery life, and top-tier specs, including a 6.7in FHD+ 120Hz AMOLED display and Qualcomm Snapdragon 8 Gen 3 processor.
Neural network implementation for predicting income based on demographic data is complex but rewarding. Data encoding, training process, and network creation are crucial steps in achieving accurate predictions.
AI and accelerated computing by NVIDIA are enhancing energy efficiency across industries, recognized by Lisbon Council Research. Transitioning to GPU-accelerated systems can save over 40 terawatt-hours of energy annually, with real-world examples like Murex and Wistron showcasing significant gains in energy consumption and productivity.
Generative AI poses a threat to public discourse and political accountability, as demonstrated by the recent AI-generated video of Steven Miles on TikTok. The uncanny features and unsettling details of the video highlight the ongoing concerns about the use of deepfakes in politics.
Large Language Models (LLMs) are too big for consumer hardware, requiring GPUs with large VRAM. Quantization is a key technique to make LLMs smaller, improving efficiency and reducing memory usage.
Real-time water quality monitors with AI help assess immediate risk of illness from bacteria in southern England's swimming spots. Wessex Water's sensors accurately predict high bacteria levels 87% of the time at pilot study site Warleigh Weir.
Ireland's datacentres consumed more electricity than urban homes in 2022, raising concerns about climate targets. The country's datacentres used 21% of its electricity, a 20% increase from the previous year, per the Central Statistics Office.
MIT researchers propose evaluating large language models based on alignment with human beliefs. Misalignment can lead to unexpected failures, especially in high-stakes situations.
Team NVIDIA emerged victorious at the Amazon KDD Cup 2024, showcasing their expertise in generative AI across multiple challenging categories, including text generation and name entity recognition. Their innovative approach, using the Qwen2-72B LLM and QLoRA technique, outperformed competitors by fine-tuning models on eight NVIDIA A100 Tensor Core GPUs, demonstrating their ability to handle rea...
Master Cargo.toml formatting rules to avoid frustration. Rust's consistency compared to JavaScript, with surprises in Cargo.toml explained in 9 wats and wat nots.
MIT CSAIL researchers developed MAIA, an automated agent that interprets AI vision models, labels components, cleans classifiers, and detects biases. MAIA's flexibility allows it to answer various interpretability queries and design experiments on the fly.
Protecting personally identifiable information (PII) is crucial for consumer trust. Amazon Lex and CloudWatch offer solutions to detect and mask sensitive data, reducing the risk of exposure in logs and transcripts.