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.
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.
IWF warns of rise in AI-generated child sexual abuse videos due to widespread AI tools. Majority involve manipulating existing material, with some entirely AI-made videos.
AI tools revolutionize weather forecasting by analyzing data patterns over years for accurate and faster predictions. Traditional methods rely on complex equations and grid replication of the atmosphere, while AI forecasts focus on long-term data analysis.
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.
Elon Musk launches "world's most powerful AI training cluster" in Memphis with xAI, X, and Nvidia collaboration. Skeptics question Musk's claims amidst past issues with xAI's Grok chatbot.
MIT engineers have identified new materials for fast proton conduction, essential for clean energy technologies like fuel cells. Current high-temperature inorganic materials may be replaced by lower-temperature alternatives for more efficient and durable applications.
CEO Sarah Franklin faced intense pushback on Lattice's plans, leading to their suspension after 3 days. People are not ready for "digital workers" according to the lesson learned by the CEO of the HR platform.
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...
Russia-based hackers targeted a heating utility in Lviv, Ukraine, switching off heat to hundreds of buildings in the midst of winter. Industrial cybersecurity firm Dragos discovered the malware used to directly sabotage the heating infrastructure, leaving civilians in sub-zero temperatures for 48 hours.
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.
Amazon Q is a generative AI-powered assistant that can answer questions, provide summaries, and complete tasks using data from various repositories. It offers prebuilt connectors to data sources like Atlassian Jira, Amazon S3, and Salesforce for easy integration and minimal configuration.
AI advancements are both thrilling and alarming. Screenwriter tests AI for screenplay, AI suggests improvements. Novel outdated in AI era.
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.
Researchers at the University of Hull developed a method to detect AI-generated deepfake images by analyzing reflections in human eyes. This technique utilizes tools from astronomy to scrutinize the consistency of light reflections in eyeballs, potentially revolutionizing deepfake detection.