Meta introduces Llama 3.1 405B AI model, claiming it competes with OpenAI and Anthropic in various tasks. The new open-source system is set to challenge established competitors in the AI field.
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.
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.
Runway's Gen-3 Alpha text-to-video synthesis model creates HD clips from prompts. It excels at mixing concepts but struggles with generalization beyond training data.
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.
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.
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.
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.
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.
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.
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.
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.
LightGBM used for anomaly detection in Autoencoder class. Models predict values based on other columns to identify anomalies.
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.
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.