As artificial intelligence (AI) continues to expand, new developments are continually ushering in advances in the field. One of these latest innovations is the C4AI Command R+ from Cohere. This model boasts a staggering 104 billion parameters, and stands alongside prominent models like the GPT-4 Turbo and Claude-3 in various computational tasks. Rooting itself firmly…
The Transformer architecture has been highly beneficial in natural language processing (NLP) sparking an increased interest in its application within the computer vision (CV) community. Vision Transformers (ViTs), which apply the Transformer's architecture to vision tasks, have shown great promise across a variety of applications including image classification, object detection, and video recognition. However, ViTs…
Cohere, the company pioneering advancements in artificial intelligence (AI), has unveiled its latest innovation - the C4AI Command R+. The model is cutting-edge, with an impressive 104 billion parameters, making it one of the most advanced in the field compared to its predecessors and contemporaries such as Claude-3, Mistral-large, and even GPT-4 Turbo. The primary…
Researchers from MIT and the MIT-IBM Watson AI Lab have developed a system that instructs users when to trust an AI system’s decision-making. In medicine, there might be instances like a radiologist using an AI model for reading X-rays where human intervention can make a difference. However, clinicians are uncertain whether to lean on the…
A committee of leaders and scholars from MIT has developed a series of policy briefs outlining a framework for the governance of artificial intelligence (AI) in the U.S. The goal of these papers is to strengthen U.S. leadership in AI, mitigate potential harm from new technologies, and explore how AI deployment can serve society.
The primary…
Over 2000 years since Greek mathematician Euclid revolutionized geometry, Justin Solomon of MIT's Electrical Engineering and Computer Science Department and the Computer Science and Artificial Intelligence Laboratory, is using modern geometric techniques to solve complex problems in various fields. From machine learning to autonomous vehicle recognition systems, Solomon integrates geometry with statistical research for groundbreaking…
Photolithography is a complex process often used in making computer chips and lenses where light is expertly etched onto a surface to create features. However, tiny deviations that occur during the manufacturing process often result in the final product not meeting the initially intended design.
To rectify this, a team of researchers from MIT and the…
MIT researchers have found that computational models designed with machine learning techniques are becoming more accurate in mimicking the structure and function of the human auditory system. They believe these models could assist in the development of improved hearing aids, cochlear implants and brain-machine interfaces. In an extensive study of deep neural networks trained for…
Gramener, a Straive Company, has developed GeoBox, a solution that employs spatial data and advanced modeling techniques to understand and mitigate the impacts of urban heat islands (UHIs). UHIs, areas within cities that register significantly higher temperatures than rural areas, can lead to a variety of environmental and health issues including increased energy consumption, poor…
Amazon Rekognition is designed to easily incorporate image and video analysis into applications, all backed by the robust deep learning technology engine developed by Amazon. The technology does not require machine learning expertise for usage and continuously boosts its system with fresh computer vision features.
Amazon Rekognition presents a user-friendly API which can rapidly assess…
Clinical trials are crucial for medical advancements as they evaluate the safety and efficacy of new treatments. However, they often face challenges including high costs, lengthy durations, and the need for large numbers of participants. A significant challenge in optimizing clinical trials is accurately predicting outcomes. Traditional methods of research, dependent on electronic health records…