Article presents Nearest Centroid Classification for Numeric Data in Microsoft Visual Studio Magazine. Nearest centroid classification is easy, interpretable, but less powerful than other techniques, achieving high accuracy in predicting penguin species.
Melissa Choi named next director of MIT Lincoln Lab, succeeding Eric Evans after 18 years. Choi's appointment marks a new chapter in the Lab's history, emphasizing excellence in national security and impactful partnerships with MIT.
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.
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.
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.
Toys "R" Us partners with Native Foreign to create brand film using OpenAI's Sora text-to-video tool, showcasing founder's story. Sora generates AI video clips of realistic scenes and characters from text instructions, pushing boundaries of technology in commercial production.
Amazon Bedrock simplifies generative AI model selection by offering a range of high-performing FMs from top AI companies through a single API. RAG enhances content generation by incorporating retrieval, improving accuracy and informativeness, with key components like foundation models, vector stores, retrievers, and embedders.
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.
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.
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.
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.
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.