TokenScope, based in Abu Dhabi, is a cryptocurrency know your transaction (KYT) platform that assesses the risks associated with cryptocurrency transactions. The company uses AI to enhance their services. In a recent interview with Soheil Zabihi, Head of Strategy at TokenScope, he discussed the company’s experiences at the Global Blockchain Show and the Global AI…
Tech giant Apple has been secretly expanding its artificial intelligence (AI) capabilities by ramping up hiring and establishing a covert research facility in Zurich, Switzerland. The company looks set for further AI integration across its devices, possibly even leasing a chatbot in response to budding AI-use trends.
Analysis of LinkedIn profiles, job listings, and research papers…
A recent study released by an interdisciplinary team led by computer scientists Arvind Narayanan and Sayash Kapoor from Princeton University brings into sharp focus the potential harm that AI could do to scientific research. The researchers argue that the lack of properly outlined best practices in using machine learning within scientific fields is threatening the…
The latest advancements in econometric modeling and hypothesis testing have signified a vital shift towards the incorporation of machine learning technologies. Even though progress has been made in estimating econometric models of human behaviour, there is still much research to be undertaken to enhance the efficiency in generating these models and their rigorous examination.
Academics from…
Amazon recently announced the launch of its second-generation model for text embeddings, Amazon Titan Text Embeddings V2. Text embeddings are essential for various natural language processing (NLP) applications such as knowledge bases, language models, and recommendation systems. The Amazon Titan V2 model is optimized to support customer use cases such as Retrieval Augmented Generation (RAG),…
Amazon Personalize, a machine learning (ML) technology used for customizing user experiences, has announced the general availability of two advanced recipes named User-Personalization-v2 and Personalized-Ranking-v2. These features utilize the Transformers architecture to support larger quantities of item catalogs with lower latency.
The new features are improvements on previous versions, particularly in terms of scalability, latency, model…
The prevalence of large language models (LLM) has necessitated an efficient method of customizing these systems to align with organizational values and provide reliable and accurate customer experiences. However, with customization comes the challenge of obtaining diverse, subjective human feedback to refine the model's performance, which can be time-consuming and unscalable.
To overcome these hurdles, companies…
PyTorch recently launched the alpha version of its state-of-the-art solution, ExecuTorch, enabling the deployment of intricate machine learning models on resource-limited edge devices such as smartphones and wearables. Poor computational power and limited resources have traditionally hindered deploying such models on edge devices. PyTorch's ExecuTorch Alpha aims to bridge this gap, optimizing model execution on…
Advanced language models (LLMs) have significantly improved natural language understanding and are broadly applied in multiple areas. However, they can be sensitive to specific input prompts, prompting research into understanding this characteristic. Through exploring this behavior, prompts for learning tasks like zero-shot and in-context training are created. One such application, AutoPrompt, recognizes task-specific tokens to…