Implementing neural networks from scratch for political leaning prediction using normalized data and one-hot encoding. Complexity of neural networks explored with raw Python code and NumPy, creating a classifier with specified input, hidden, and output nodes.
The All England Lawn Tennis Club utilizes AI to protect Wimbledon players from online abuse by monitoring social media profiles for threats and offensive language in 35 languages. The Threat Matrix service automatically flags death threats, racism, and sexism, ensuring player safety.
Fairwork experts reveal the harsh reality behind AI development in their book, 'Feeding the Machine'. African workers drive AI for just over a dollar an hour, exposing the exploitation in big tech's pursuit of artificial intelligence.
Microsoft introduces Medprompt, a groundbreaking prompting strategy that enhances GPT-4's performance in healthcare without fine-tuning. Can generalist LLMs outperform specialized models in specific domains?
Microsoft's new Copilot+ PCs take constant screenshots, offering AI image generation and real-time language translation. The privacy implications of this technology raise concerns about user data security.
AI technology Apate keeps scammers engaged to collect data, disrupting their business model. Elderly man confuses scammer with English accent, creating an engaging scenario.
AI could soon be used to write TV shows, even allowing viewers to insert themselves as heroes. However, Justine Bateman warns of creative consequences and viewer confusion when AI interferes with storytelling.
GenSQL, a generative AI system for databases, simplifies complex statistical analyses, predicts outcomes, detects anomalies, and generates synthetic data effortlessly. Developed by MIT researchers, GenSQL outperforms other AI-based approaches, providing faster and more accurate results with explainable probabilistic models.
Social media content moderation in outsourced centers in the global south exposes workers to disturbing material and harsh conditions. Meta content moderator Mercy faced a traumatic experience while reviewing a fatal car crash video, highlighting the toll of AI training data processing on human workers.
Machine Learning models are becoming more prevalent, with 34% of companies already using ML for improved customer retention and revenue growth (IBM, 2022). The need for transparency in ML models, defined by terms like explainability and interpretability, is crucial for trust and accountability in decision-making processes, especially in industries like healthcare and criminal justice.
GeForce NOW adds 22 new games, including The First Descendant, a sci-fi co-op shooter with looting mechanics. Get great deals during the Steam Summer Sale on over 850 titles available for streaming.
Learn how to test machine learning projects with Pytest and Pytest-cov. Guide focuses on BERT for text classification using industry standard libraries.
Learn how to enhance your work quality by mastering sanity checks. Discover how to ensure your analysis makes sense and increase credibility. Explore different types of sanity checks and how to apply them effectively at work.
Prompt engineering is crucial for guiding generative AI models to produce desired outputs. Efficient prompts can lead to high-quality results, as demonstrated with Amazon Bedrock and Anthropic’s Claude 3 models.
Generative models like NVIDIA's GauGAN are transforming AI with apps like ChatGPT. GANs use neural networks to create realistic images, inspiring creativity and productivity.