The beef supply chain is complex and requires more visibility than ever to manage inventory and maintain consumer trust. McDonald’s has partnered with Golden State Foods to use RFID technology to track the movement of fresh beef from manufacturer to restaurant in real-time. This “phygital” approach merges technology with physical object identifiers to create efficient…

Xenova’s text-to-speech client utilizes transformer-based neural networks to generate natural-sounding synthetic speech. It offers high-quality synthetic speech that is indistinguishable from human voice, supports various voices and languages, and allows fine-grained control over speech synthesis. The client has applications in e-learning, accessible media, audiobooks, voice assistants, and more. It can be easily installed and tested…

AI web scraping operations that collect online artworks without consent or compensation of the creators have become a major concern for artists. Existing solutions have been limited, but researchers have developed a tool that subtly manipulates image pixels to disrupt AI models’ training process. This tool offers hope for artists and creative entities by safeguarding…

Researchers from the University of Washington and Princeton have developed a benchmark called WIKIMIA and a detection method called MIN-K% PROB to identify problematic training text in large language models (LLMs). The MIN-K% PROB method calculates the average probability of outlier words, allowing researchers to determine if an LLM was trained on a given text.…

A study by Randstad reveals that Indian workers are more concerned about job loss due to artificial intelligence (AI) compared to workers in countries like the US, UK, and Germany. The study found that one in two workers in India are scared of losing their jobs to AI, while the number is one in three…

Joy Buolamwini’s book, “Unmasking AI: My Mission to Protect What Is Human in a World of Machines,” discusses the concept of “x-risk,” the existential risk that AI poses. She argues that existing AI systems that cause harm are more dangerous than hypothetical superintelligent systems. Buolamwini also emphasizes the importance of addressing algorithmic bias and ensuring…

Researchers from Georgia Tech, Mila, Université de Montréal, and McGill University have introduced a scalable framework called POYO-1 for modeling neural population dynamics in diverse large-scale neural recordings. The framework utilizes tokenization, cross-attention, and the PerceiverIO architecture to capture temporal neural activity and achieve few-shot performance in various tasks. It demonstrates rapid adaptation to new…

OpenAI has introduced new features to ChatGPT Plus, affecting AI startups. Users can now access all ChatGPT tools without switching, including Browsing, Advanced Data Analysis, and DALL-E. PDF analysis, previously available through plugins, is now integrated. This move disrupts the business model of startups that developed these plugins. The impact on AI startups is significant…

Researchers from MIT and NVIDIA have developed two techniques that can accelerate the processing of sparse tensors, a type of data structure used for high-performance computing. The techniques, called HighLight and Tailors/Swiftiles, can improve the performance and energy-efficiency of hardware accelerators designed for processing sparse tensors. HighLight can efficiently handle various sparsity patterns, while Tailors/Swiftiles…

MIT researchers have developed a search engine, called SecureLoop, that can identify optimal designs for deep neural network accelerators while maintaining data security. The tool considers the impact of adding encryption and authentication measures on performance and energy usage. It improves accelerator designs by boosting performance and keeping data protected, enabling the improvement of AI…