Deploying machine learning models efficiently is necessary for numerous applications. However, traditional frameworks like PyTorch have their share of problems, including their size, slow instance creation on a cluster, and reliance on Python that can result in performance challenges. There's a clear need for a minimalistic and efficient solution. Despite the existence of alternative solutions…
Researchers from the City University of Hong Kong and Huawei Noah's Ark Lab have developed an innovative recommender system that takes advantage of Large Language Models (LLMs) like ChatGPT and Claude. The model, dubbed UniLLMRec, leverages the inherent zero-shot learning capabilities of LLMs, eliminating the need for traditional training and fine-tuning. Consequently, it offers an…
Researchers from MIT and the MIT-IBM Watson AI Lab have developed an automated system that trains users on when to collaborate with an AI assistant. In medical fields such as radiology, this system could guide a practitioner on when to trust an AI model’s diagnostic advice. The researchers claim that their onboarding procedure led to…
Justin Solomon, an associate professor in the MIT Department of Electrical Engineering and Computer Science (EECS) and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), is employing modern techniques based on ancient geometric principles to solve a wide array of complex problems, specifically in the field of data science.
Drawing upon the geometric…
Researchers at MIT have discovered that computational models derived from machine learning are increasingly mimicking the function and structure of the human auditory system. This finding has significant implications for the design of more effective hearing aids, cochlear implants, and brain-machine interfaces. In the most extensive study to date of deep neural networks used for…
Nielsen Sports, a global leader in audience insights, data, and analytics, has recently reduced operational and financial cost by 75% through modernizing its system, with the use of Amazon SageMaker multi-model endpoints (MMEs). This system involved a vast number of machine learning models in production.
Nielsen Sports' technology uses artificial intelligence, particularly computer vision, to track…
AI image generators like DALL-E, Midjourney and Stable Diffusion have significantly changed the way we perceive art. With the application of artificial intelligence (AI), creating art has become considerably more accessible, shifting focus from innate talent to a blend of technology, personal narratives, and viewer interpretation.
Enigma X, a pop-up gallery located in Melbourne, has introduced…
Within the field of Natural Language Processing (NLP), resolving references is a critical challenge. It involves identifying the context of specific words or phrases, pivotal to both understanding and successfully managing diverse forms of context. These can range from previous dialogue turns in conversation to non-conversational elements such as user screen entities or background processes.
Existing…
OpenAI has introduced a breakthrough feature to the DALL-E image generation model that allows users to adjust and refine the AI-generated images directly on the platform. The innovative addition takes the form of an editor interface which operates intuitively, simplifying the task of making changes to images through the use of text prompts that facilitate…