Supply Chain Analytics is crucial in navigating disruptions and uncertainties in supply chains. Samir Saci shares insights and practical case studies in his comprehensive Supply Chain Analytics Cheat Sheet to help improve profitability and optimize operations.
Support Vector Regression (SVR) and Support Vector Machine (SVM) were popular in the 1990s but have limitations. SVR's complexity and scalability issues are addressed by the kernel trick, with the radial basis function being a common choice. Training SVR models requires specialized algorithms like sequential minimal optimization (SMO), and attempts to use evolutionary optimization have not been...
Attention mechanism, crucial in Machine Translation, helps RNNs overcome challenges, leading to the rise of Transformers. Self-attention in Transformers involves key, value, and query vectors to focus on important elements within a sequence.
Authors including Richard Osman, Kazuo Ishiguro, Kate Mosse, and Val McDermid urge UK government to hold Meta accountable for using copyrighted books in AI training. They request Lisa Nandy to summon Meta executives to parliament.
Leading UK designers, including Tom Dixon and Sebastian Conran, criticize government's AI opt-out proposal. Proposal to allow AI companies to use copyrighted work without permission sparks backlash from creative industry icons like Sir Paul McCartney and Kate Bush.
Ministers halt funding for AI cancer tech in England, risking longer waiting times and patient deaths. Radiotherapy contouring crucial for effective treatment and minimizing damage to healthy tissues.
Serbian college student Ana Trišović credits MIT OpenCourseWare with transforming her career, leading her to become a research scientist at MIT's FutureTech lab. Trišović's journey from learning Data Analytics with Python to studying AI democratization showcases the impact of open learning resources on her interdisciplinary research.
H&M introduces AI ‘twins’ of models for marketing, sparking debate on exploitation in fashion industry. Chief creative officer ensures human-centric approach remains unchanged despite AI integration.
Parents and teachers are preparing children for the future with generative artificial intelligence, despite age restrictions on tools like ChatGPT and Google's Gemini. Guardian readers share their strategies and reasons for introducing AI education to the youngest learners.
Venture capital-backed $1bn companies like Skydio are transforming warfare with AI-powered drones. These futuristic weapons could challenge traditional military manufacturers on the battlefield.
Automation has made mundane tasks less boring, but at what cost? John Gray's eco-nihilism perspective challenges the benefits of technology, even calling anaesthetised dentistry an "unmixed blessing."
Adam Kucharski, a renowned epidemiologist, delves into the importance of evidence in the age of AI and social media. In his new book, he explores how our understanding of 'proof' is evolving in a world where information and trust are paramount.
AlphaFold, from Google DeepMind, uses AI to predict protein structures, revolutionizing drug discovery and solving biological mysteries. The technology has already won a Nobel prize and made significant advancements in understanding complex structures like the nuclear pore complex.
The 3D Reconstruction journey from 2D to 3D models involves crucial steps for high-quality results. Successful reconstructions focus on fewer images, cleaner processing, and efficient troubleshooting, emphasizing understanding the creation process.
The blog post discusses Nadaraya-Watson kernel regression using a radial basis function kernel, emphasizing the importance of normalizing predictor values. The key equation for NW kernel regression involves a weighted average of target y values based on the RBF kernel function values.