OpenAI's report reveals AI used for disinformation campaigns from Russia, China, Israel, and Iran, but failed to reach large audiences. Generative AI models were employed to create and post propaganda across social media platforms.
Big tech's datacentres are major contributors to global greenhouse emissions, overshadowing commercial flights. Research shows energy-guzzling technologies like ChatGPT have significant environmental costs.
Neuroscientist introduces spatstat for spatial analysis of cell distribution in the brain. Point pattern analysis (PPA) allows for detailed examination of cell spatial distribution, offering reproducible insights.
A LightGBM regression model predicts income accuracy within intervals, demonstrating the model's effectiveness with synthetic data. The model showcases accuracy for various income ranges, highlighting the importance of specifying target value proximity for correct predictions.
AI-powered Media Analysis and Policy Evaluation solution by AWS simplifies video extraction and evaluation for advertising and educational tech companies. Advanced content moderation ensures brand safety and compliance, while also enhancing user engagement and ad performance.
Major tech companies like Google, Microsoft, and Meta form UALink group to develop new AI accelerator chip interconnect standard, challenging Nvidia's NVLink dominance. UALink aims to create open standard for AI hardware advancements, enabling collaboration and breaking free from proprietary ecosystems like Nvidia's.
AI may enable real interspecies communication, as Tel Aviv University joins $10m Coller Dolittle Challenge. Scientists invited to create two-way conversations with animals in groundbreaking competition.
Anthropic's recent paper delves into Mechanistic Interpretability of Large Language Models, revealing how neural networks represent meaningful concepts via directions in activation space. The study provides evidence that interpretable features correlate with specific directions, impacting the output of the model.
Salesforce faces potential $48bn market value loss amid concerns over low revenue growth forecast and competition from rival AI offerings. Shares dropped 18% after disappointing quarterly results below expectations for the first time in 15 years.
Key learnings for data scientists and managers: 1. Tell a story with data tailored to your audience. 2. Business acumen sets apart good from great data scientists, driving maximum impact for stakeholders.
Large language models like GPT and BERT rely on the Transformer architecture and self-attention mechanism to create contextually rich embeddings, revolutionizing NLP. Static embeddings like word2vec fall short in capturing contextual information, highlighting the importance of dynamic embeddings in language models.
OpenAI faces backlash from Scarlett Johansson over new chatbot Sky resembling Her character. South Korea hosts second global AI summit; Alan Turing Institute report examines AI's impact on elections. Alex Hern discusses AI developments with Madeleine Finlay on BBC News.
Multimodal models like Claude3 and GPT-4V integrate text and images for enhanced understanding. Fine-tuning LLaVA on domain-specific data improves performance in various industries.
Former OpenAI board member reveals surprise over ChatGPT's public release on Twitter, shifting company focus. CEO Sam Altman's firing and rehiring events also discussed.
Meta AI's Llama, a popular large language model, faces challenges in training but can achieve comparable quality with proper scaling and best practices on AWS Trainium. Distributed training across 100+ nodes is complex, but Trainium clusters offer cost savings, efficient recovery, and improved stability for LLM training.