Motorola’s Latest Razr Phones Are All In on AI
Perplexity? Gemini? Copilot? The Razr Ultra will have it all optimized for its flippy, folding screen.
Motorola’s Latest Razr Phones Are All In on AI Read More »
Perplexity? Gemini? Copilot? The Razr Ultra will have it all optimized for its flippy, folding screen.
Motorola’s Latest Razr Phones Are All In on AI Read More »
Google’s AI Overviews feature credible-sounding explanations for completely made-up idioms.
‘You Can’t Lick a Badger Twice’: Google Failures Highlight a Fundamental AI Flaw Read More »
Margaret Mitchell, an AI ethics researcher at Hugging Face, tells WIRED about a new dataset designed to test AI models for bias in multiple languages.
AI Is Spreading Old Stereotypes to New Languages and Cultures Read More »
Archival data in research institutions and national laboratories represents a vast repository of historical knowledge, yet much of it remains inaccessible due to factors like limited metadata and inconsistent labeling. Traditional keyword-based search mechanisms are often insufficient for locating relevant documents efficiently, requiring extensive manual review to extract meaningful insights. To address these challenges, a
Retrieval Augmented Generation (RAG) applications have become increasingly popular due to their ability to enhance generative AI tasks with contextually relevant information. Implementing RAG-based applications requires careful attention to security, particularly when handling sensitive data. The protection of personally identifiable information (PII), protected health information (PHI), and confidential business data is crucial because this information
Protect sensitive data in RAG applications with Amazon Bedrock Read More »
When chemists design new chemical reactions, one useful piece of information involves the reaction’s transition state — the point of no return from which a reaction must proceed. This information allows chemists to try to produce the right conditions that will allow the desired reaction to occur. However, current methods for predicting the transition state
New model predicts a chemical reaction’s point of no return Read More »
MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new framework sheds light on how scientists could fuse strategies from different methods to improve existing AI models or come up with new ones. For instance, the researchers used their framework to combine elements of two
“Periodic table of machine learning” could fuel AI discovery Read More »
Essential for many industries ranging from Hollywood computer-generated imagery to product design, 3D modeling tools often use text or image prompts to dictate different aspects of visual appearance, like color and form. As much as this makes sense as a first point of contact, these systems are still limited in their realism due to their
3D modeling you can feel Read More »
What happens when a fashion legend taps into the transformative power of artificial intelligence? For more than five decades, fashion designer and entrepreneur Norma Kamali has pioneered bold industry shifts, creating iconic silhouettes worn by celebrities including Whitney Houston and Jessica Biel. Now, she is embracing a new frontier — one that merges creativity with
Norma Kamali is transforming the future of fashion with AI Read More »
Today, we’re excited to announce the launch of Amazon SageMaker Large Model Inference (LMI) container v15, powered by vLLM 0.8.4 with support for the vLLM V1 engine. This version now supports the latest open-source models, such as Meta’s Llama 4 models Scout and Maverick, Google’s Gemma 3, Alibaba’s Qwen, Mistral AI, DeepSeek-R, and many more.