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.
Companies can boost revenue growth by over 300% with Predictive Lead Scoring over traditional methods. Machine Learning prioritization is key for effective lead management and higher conversion rates.
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.
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.
VP of Data Science shares tips on evaluating data vendors for model improvement. Key: translate model improvements into dollars for clear decision-making.
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.
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.
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.
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.
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.
Learn to integrate pyFlink, Kafka, and PostgreSQL seamlessly using Docker. Overcome challenges and build a real-time data processing pipeline for IoT sensor data.