An international team of researchers, including members from MIT (Massachusetts Institute of Technology), has developed a machine learning-based approach to predict the thermal properties of materials. This understanding could help improve energy efficiency in power generation systems and microelectronics.
The research focuses on phonons - subatomic particles that carry heat. Properties of these particles affect…
Small businesses need to remain proficient and smart about their marketing to attract and retain potential clients. This article presents the imperative marketing tactics these businesses should incorporate, the necessity of monitoring performance, and how digital dashboards like those offered by Robotic Marketer can amplify your marketing efforts.
1. A strong brand identity differentiates your…
Eye-oo, a leading multi-brand platform for eyewear established in 2020, has shown an impressive growth in sales and organic online visibility following a strategic partnership with WordLift. With an extensive catalog of over 30,000 products and sub-markets in Denmark, Sweden, Poland, Germany, Spain, and the US, eye-oo reported a 30% increase in sales and an…
Music streaming platforms YouTube Music and Deezer are beta testing new AI features designed to simplify the process of finding music. Both platforms currently utilize users' search activity, feedback and listening history to suggest music. However, these new features will cater to those who can't remember song titles or artists.
One of these additions on YouTube…
Tech giants like Apple, NVIDIA, Anthropic, and Salesforce are allegedly pushing ethical boundaries by using a dataset to train their AI models, which includes subtitles from more than 170,000 YouTube videos, obtained without the consent of content creators. This potentially violates YouTube’s terms of service and raises concerns about data privacy, fair competition, and concentration…
Scientists from the University of Pennsylvania and Feinstein Institutes for Medical Research have published a study showing new insights into how sex and gender are represented in the brains of children. The study emphasizes the difference between sex, defined as physiological characteristics present at birth, and gender, which is a spectrum of attitudes, feelings, and…
The importance of speed and efficiency in computer graphics and simulation cannot be understated. However, developing high-performance simulations that can run seamlessly on various hardware configurations remains a task filled with complexity and precision. Traditional methods may not fully exploit the potential of modern graphics processing units (GPUs), thereby inhibiting performance, especially for real-time or…
The landscape for artificial intelligence (AI) is evolving at a rapid pace, with significant changes expected to transform how humans interact with technology. The industry predicts that the traditional front-end application or interface that we currently use may soon become obsolete due to the advanced capabilities of large language models (LLMs) and emergent AI agents.
LLMs,…
Training large language models (LLMs) using machine learning has revolutionized several applications, but these models demand considerable computational resources. Such resources are usually centered within well-connected clusters to effectively parallelize workloads for distributed training. A major challenge, however, lies in managing communication overhead and improving scalability across multiple devices.
Traditional training methods struggle with frequent data…
Spreadsheet analysis is crucial for managing and interpreting data in the extensive two-dimensional grids used in tools like MS Excel and Google Sheets. However, the large, complex grids often exceed the token limits of large language models (LLMs), making it difficult to process and extract meaningful information. Traditional methods struggle with the size and complexity…
For AI research, efficiently managing long contextual inputs in Retrieval-Augmented Generation (RAG) models is a central challenge. Current techniques such as context compression have certain limitations, particularly in how they handle multiple context documents, which is a pressing issue for many real-world scenarios.
Addressing this challenge effectively, researchers from the University of Amsterdam, The University of…