American researchers at MIT, Brigham and Women’s Hospital, and Duke University have designed an innovative approach to identifying the transporters used by different drugs that are taken orally. The strategy involves the use of both tissue models and machine-learning algorithms, and has already revealed that a commonly prescribed antibiotic and a blood thinner can interfere…
Earlier this week, Scarlett Johansson accused OpenAI of stealing her voice for the voice option 'Sky' in the company's new artificial intelligence, GPT-4. The story instantly went viral, and the voice option 'Sky' was subsequently pulled from the AI system.
The author of the article adds personal insight, stating that they have been in frequent…
This week, Scarlett Johansson and Sam Altman, President of OpenAI, became a hot topic on social media after Johansson claimed that OpenAI had misappropriated her voice for use on its artificial voice model, GPT-4. The voice option named 'Sky' had been withdrawn from ChatGPT shortly before.
The author of the piece refutes the claim, having interacted…
Google has introduced a new Artificial Intelligence (AI) system named Google Gemini. Google formerly had two different AI systems, Google Bard and Google Gemini, but in February 2024 they were combined into one and officially named Gemini. Google Gemini is accessible via a simple Google search, upon which an AI chatbot is displayed. Users sign…
Google recently introduced Gemini, a powerful artificial intelligence (AI) system that is an integration of its previous two AI systems, Gemini and Bard. This advanced AI is easily accessible through Google's search engine. After signing in with your Google account, you can engage with Gemini by entering various prompts to get replies.
Google states that Gemini…
Recent advancements in neural networks such as Transformers and Convolutional Neural Networks (CNNs) have been instrumental in improving the performance of computer vision in applications like autonomous driving and medical imaging. A major challenge, however, lies in the quadratic complexity of the attention mechanism in transformers, making them inefficient in handling long sequences. This problem…
Safe Reinforcement Learning (Safe RL) is increasingly being seen as a crucial step for the safe deployment of RL across various industries. By focusing on safety concerns, and through the use of various architectures and methods, Safe RL is making great strides in ensuring RL algorithms remain within a predefined safety constraint while optimizing performance.
Key…
