Meta is exploring Federated Learning with Differential Privacy to enhance user privacy by training ML models on mobile devices, adding noise to prevent data memorization. Challenges include label balancing and slower training, but Meta's new system architecture aims to address these issues, allowing for scalable and efficient model training across millions of devices while maintaining user priv...
Model Risk Management (MRM) in finance is crucial for managing risks associated with using machine learning models for decision-making in financial institutions. Weights & Biases can enhance transparency and speed in workflow, reducing the potential for significant financial losses.
Netflix's The Circle introduces AI chatbot contestant Max, sparking debate on AI's role in entertainment. Max, a front for an AI chatbot, adds a new twist to the reality show, raising questions about the use of AI in film and TV.
A $10 million bounty has been placed on the arrest of "LockBitSupp," unmasked as Dmitry Yuryevich Khoroshev, the leader of the prolific ransomware group LockBit. Prosecutors reveal Khoroshev extorted $500 million from 2,500 victims, causing billions in damages worldwide.
Transfer learning in AI includes one-shot, few-shot, zero-shot, and fine-tuning methods. Techniques like Siamese network and MAML enhance learning efficiency.
MIT's Jonathan Ragan-Kelley pioneers efficient programming languages for complex hardware, transforming photo editing and AI applications. His work focuses on optimizing programs for specialized computing units, unlocking maximum computational performance and efficiency.
MechE students showcase innovative work in robotics, bioengineering, and sustainable energy. From democratizing design with generative AI to protecting marine life and generating water from air, the future of Mechanical Engineering is limitless.
Florida resident Onur Aksoy sentenced to 78 months for $100 million counterfeit scam targeting US military, must pay $100 million restitution to Cisco. Aksoy used fake Cisco gear and packaging, operated through 19 companies and multiple online storefronts.
OpenAI emphasizes the importance of quality data for AI models, stating access to copyrighted materials is crucial for training. Some publishers are selling data while others are restricting access, highlighting the value of news publishers' vast datasets.
New AI program aids in creating better disability support plans to reduce restraints and seclusion on individuals with disabilities. Promoting Positive Behaviour Support Practice program aims to guide carers and support workers in responding to challenging behavior respectfully and constructively.
Use RAGAs framework for hyperparameter optimization to enhance RAG system quality. Rigorous evaluation crucial for success, surpassing generic LLM benchmarks.
Ransomware attack on ChangeHealthcare disrupts supply chain, highlighting vulnerability in corporate security cultures. MIT and HPI researchers aim to improve cybersecurity across supply chains to combat increasing data theft and ransomware attacks.
Stanford NLP introduces DSPy for prompt engineering, moving away from manual prompt writing to modularized programming. The new approach aims to optimize prompts for LLMs, enhancing reliability and efficiency.
Time series regression is challenging, with various techniques available. Recent research explores using neural networks like transformers for forecasting accuracy.
AI tools used by researchers in Silicon Valley deciphered an ancient papyrus revealing Plato's final resting place in Athens. The discovery sheds new light on the legendary Greek philosopher's life and legacy.