OpenAI unveils CriticGPT to improve AI alignment through RLHF. CriticGPT assists human reviewers in identifying coding errors, outperforming human critiques in 63% of cases.
Bill Gates believes AI will boost efficiency for tech and grids, outweighing datacentres' energy use. AI to aid climate goals, not hinder them, by reducing energy consumption.
AI-powered assistants using Generative AI and large language models (LLMs) are transforming investment research in capital markets by automating tasks and boosting productivity for financial analysts. These assistants can gather and analyze multifaceted financial data from various sources, enabling analysts to work faster and more accurately in making investment decisions.
LightGBM, a powerful tree-based system, offers binary and multi-class classification, regression, and ranking. Python's user-friendly API makes it easy to install and use LightGBM for model evaluation, despite the challenge of managing numerous parameters.
Researchers from University of Tokyo and Harvard create lifelike robotic skin with human cells, capable of conveying emotions. The study explores benefits of using living tissue for robot covering, emphasizing potential for self-repair.
Optimal workload distribution in microservice applications is crucial for handling thousands of requests per second. Load balancers and health checks play key roles in distributing requests and maintaining system efficiency.
University of Reading researchers use AI-generated exam answers to deceive professors, raising concerns about academic integrity in student assignments. Fake student identities submitted ChatGPT-4 generated answers, outperforming real students in online assessments.
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.
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.
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.
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.
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.
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.
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.