This article examines public transport systems in Budapest, Berlin, Stockholm, and Toronto using GTFS data and data science tools to analyze and visualize public transport patterns and insights for urban planning. The author addresses GTFS’s universality, noting city-specific manual validations, and explores topics like stop locations, departure times, spatial distributions, transport modes, and route shapes…

The Metal.jl Framework provides Julia users on macOS the ability to utilize the GPU for better performance in scientific computing and machine learning. It tackles macOS’s transition to M-series chips, offering solutions amidst compatibility challenges. Users can harness the GPU’s parallel processing via Metal.jl for tasks like matrix multiplication and machine learning with Flux, improving…

This article lists over 15 AI tools for developers as of December 2023, highlighting their key features. These tools assist in coding, debugging, generating documentation, managing snippets, creating AI agents, designing visuals, and more. They include GitHub Copilot, Amazon CodeWhisperer, Notion AI, Stepsize, Mintlify, Pieces for Developers, LangChain, You.com, AgentGPT, Jam.dev, Durable, Leap AI, AssemblyAI,…

To transition to data analytics from another field, pursue relevant education or training, gain practical experience, and engage with the data science community through platforms like Towards Data Science.

Researchers discovered that language models like GPT-3.5 Turbo could inadvertently reveal their training data when prompted to repeat simple words, leaking sensitive content, personal information, and copyrighted material. The technique, known as a divergence attack, had a success rate of 3% and poses a significant security risk. Companies have been notified, with the web version…

Pika Labs, an AI video generator startup, has caused a stir with its product, Pika 1.0, leading to a stock increase for Sunyard Technology, a firm with familial ties to co-founder Demi Guo. The startup raised $55 million and aims to democratize video creation, despite broader industry challenges.

Developed by an international research team, PepCNN is a deep learning model that predicts protein-peptide binding with higher accuracy than previous tools. Using structural, sequence, and language model features, it excels in specificity, precision, and AUC metrics for better drug discovery and understanding protein-peptide interactions. Further improvements are planned using DeepInsight technology.

NeRF models scenes in 3D and learns from various viewpoints to create photorealistic images. Researchers from Sungkyunkwan University improved efficiency with a mask strategy, reducing memory requirements and increasing speed. Point-based rendering enhancements and ongoing research promise to further advance realistic 3D applications. Credit goes to the researchers and is shared via various online AI…