NEWS IN BRIEF: AI/ML FRESH UPDATES

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Ruthless Gang's Crypto Theft Spree

24-year-old Remy Ra St. Felix led a violent gang targeting cryptocurrency savings, committing armed robberies, assaults, and even a kidnapping. Despite only stealing $150,000 in crypto, the gang inflicted harm on 11 victims across four US states, highlighting the dangers of physical crypto theft.

Mastering Sales Prioritization

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.

Melissa Choi: Leading MIT Lincoln Laboratory

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.

Streamlining Derivative Confirms with AWS AI

AI/ML technologies can automate derivative trade settlement processes, improving efficiency and reducing errors in capital market operations. AWS AI services, including Amazon Textract and Serverless technologies, offer a scalable solution for intelligent document processing in the post-trade lifecycle.

Unlocking the Future of Chip Designs with 3D Visualization

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.

Enhancing LLMs for Self-Driving with LangProp

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.

Guardrails for Responsible AI

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.

Revolutionizing AI: Matrix-Free LLMs

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.

The Bright Side of AI: Claude 3.5 Optimistic About Its Future

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.

Geologists wary of Chinese chatbot bias

Chinese-funded GeoGPT chatbot raises concerns among geologists for potential censorship and bias, developed with IUGS support. Aimed at global south researchers, it leverages vast data to enhance understanding of earth sciences.