Increasing volumes of healthcare data and growing complexities in diagnoses and treatment are escalating the need for Artificial Intelligence (AI) in the healthcare sector. Benjamin Freedman, MD, Chief of Radiology at Memorial Healthcare System, deliberated on this development during an Aidoc-hosted webinar, asserting that this is the ‘right time’ for AI adoption in healthcare.
As per…
Google researchers have developed a technique called Infini-attention, aimed at improving the efficiency of Language Learning Models (LLMs). This technique allows LLMs to handle infinitely long text without swelling the compute and memory requirement which is a common limitation with existing models.
LLMs, which use a Transformer architecture, work by giving attention to all tokens, or…
The Global AI Show, a prominent tech conference focused on Artificial Intelligence (AI), is set to take place in Dubai on April 16-17, 2024. The event aims to engage attendees with insights into AI and machine learning, connect with industry leaders, and explore future growth prospects in the domain. The show will host more than…
The tech ecosystem is preparing for a significant event, AIAI San Jose, scheduled for April 16-17, 2024. Organized by the AI Accelerator Institute, the event is aimed at bridging the gap between ground-breaking research and practical applications for developers, engineering teams, and AI executives. The main objective is to facilitate the collaboration of minds from…
The Global Blockchain Show, Dubai's most prominent blockchain event, will be held at the Grand Hyatt, Dubai on April 16-17, 2024. Taking place in conjunction with the Global AI Show, the event offers a platform for blockchain professionals and enthusiasts to connect with experts from the Web3 ecosystem for insightful discussions on future opportunities in…
Artificial Intelligence (AI) is becoming increasingly important in the world of cybersecurity as cyber threats become more sophisticated and complex. However, cybersecurity faces a significant challenge due to a shortage of skilled experts and the overwhelming volume of data that security analysts have to process to identify pressing threats. This scenario is expected to worsen…
Developers, project managers, and business owners often face the challenge of swiftly converting conceptual ideas into interactive, tangible prototypes. This process typically requires extensive programming knowledge, even with the aid of tools such as integrated development environments (IDEs) and software development kits (SDKs), and can be time-consuming and excluding for non-technical stakeholders. This lack of…
The rapid improvement of large language models and their role in natural language processing has led to challenges in incorporating less commonly spoken languages. Embedding the majority of artificial intelligence (AI) systems in well-known languages inevitably forces a technological divide across linguistic communities that remains mostly unaddressed.
This paper introduces the SambaLingo system, a novel…
More than 2,000 years after Greek mathematician Euclid laid the groundwork for geometry, Justin Solomon, an associate professor at the MIT Department of Electrical Engineering and Computer Science, is leveraging modern geometric techniques to solve complex problems that seemingly have no connection to shapes. Solomon's work involves using geometrical structures in comparing datasets to predict…
Researchers from MIT and the Chinese University of Hong Kong have developed a machine learning technique to bridge the gap between the design and manufacturing processes in photolithography. Photolithography, a technique commonly used in fabricating computer chips and optical devices like lenses, often falls short of the designers' expectations due to minute deviations during manufacturing.…
MIT researchers have conducted the largest study to date of deep neural networks trained for auditory tasks. These computational models, which mimic the structure and function of the human auditory system, have the potential to improve hearing aids, cochlear implants, and brain-machine interfaces. The study shows that the majority of the models generate representations which…
Scientists at MIT have devised a machine learning-based method that can rapidly calculate the transitional states of molecules during a chemical reaction. The transient nature of these states has made observation particularly challenging. Understanding these states is key to developing catalysts or deciphering how natural systems induce specific changes.
The MIT team constructed their computational approach…