SyncTwin GmbH leverages NVIDIA Omniverse and cuOpt to create digital twins for factories, optimizing production and enhancing collaboration. OpenUSD framework enables seamless integration of diverse manufacturing data, revolutionizing factory planning and operations.
A critical vulnerability in MOVEit software by Progress Software is actively being exploited, putting Internet security at risk. Previous attacks compromised major organizations, including Shell and British Airways, affecting millions of individuals.
VP of Data Science shares tips on evaluating data vendors for model improvement. Key: translate model improvements into dollars for clear decision-making.
ChatGPT powers autonomous driving research at Wayve using LangProp framework for code optimization without fine-tuning neural networks. LangProp presented at ICLR workshop showcases LLM's potential to enhance driving through code generation and improvement.
Anthropic's latest AI model, Claude LLM, outperforms competitors like OpenAI in coding and text-based reasoning, with improved nuance and humor understanding. External experts have evaluated the safety mechanisms in Claude 3.5 Sonnet, highlighting a commitment to safety and transparency in AI development.
Ansys utilizes NVIDIA technology to tackle complex challenges in 3D-IC design at the Design Automation Conference. Using NVIDIA Omniverse and Modulus, Ansys engineers can optimize chip performance and reliability with AI-based surrogate models for faster simulations.
Centre for Long-Term Resilience urges UK government to track AI incidents to prevent risks. CLTR recommends central hub for logging AI-related episodes nationwide.
AI griefbots are imitating the dead, offering a virtual connection to lost loved ones. Documentary explores digital afterlife industry's impact on the grieving process.
Large language models (LLMs) enable human-like conversations but can also spread misinformation and harmful content. Guardrails are crucial for mitigating risks in LLM applications, ensuring safe and desirable outputs.
Dimensionality reduction using PCA & neural autoencoder in C#. Autoencoder reduces mixed data, PCA only numeric. Autoencoder useful for data visualization, ML, data cleaning, anomaly detection.
Researchers from UC Santa Cruz, UC Davis, LuxiTech, and Soochow University have developed an AI language model without matrix multiplication, potentially reducing environmental impact and operational costs of AI systems. Nvidia's dominance in data center GPUs, used in AI systems like ChatGPT and Google Gemini, may be challenged by this new approach using custom-programmed FPGA chips.
Sales performance is often measured incorrectly, leading to inaccurate assessments. Quality of leads is a crucial factor in evaluating sales agents' performance accurately.
Ministry of Social and Family Development and GovTech's team created Fill. sg in 2 weeks at LAUNCH! Hackathon to simplify report writing using AI. Leveraging long-context models and a user-friendly interface, Fill. sg aims to streamline report generation for public service officers.
Krikey AI leverages Amazon SageMaker Ground Truth to efficiently label vast amounts of data for their innovative 3D animation platform, democratizing AI animation creation. This partnership enables Krikey AI to quickly obtain high-quality labels tailored to their needs, accelerating the development of their text-to-animation model.
Amazon Lex QnAIntent, powered by Amazon Bedrock, enables real-time conversational experiences with natural language understanding. Exact match capabilities with Amazon Kendra and OpenSearch Service cater to enterprise customers' regulatory needs.