Meet Decisional AI: An AI Agent for Financial Analysts

SEC Chairman, Gary Gensler, warns that Artificial Intelligence (AI) could potentially cause a financial crash in the late 2020s or early 2030s due to concerns about the use of AI models by Wall Street banks. Gensler…

A research team has developed a comprehensive set of metrics to evaluate the performance of deep generative models (DGMs) in engineering design. These metrics address aspects such as design constraints, diversity, novelty, and target achievement, providing…

MORCELA: A New Approach to Understanding Language Models Understanding the Connection Between Language Models and Human Language In natural language processing (NLP), it’s crucial to see how well language models (LMs) match human language use. This…

Cohere’s Embed v3 model is a valuable solution for finding relevant and informative content in text data. It outperforms other models in benchmark tests and offers efficient navigation through vast amounts of information. Supporting over 100…

Researchers at MIT have introduced a vibrating pill for obesity treatment, triggering fullness signals to the brain to reduce food intake. The innovative capsule, the size of a multivitamin, activates receptors in the stomach, mimicking fullness.…

Understanding Artificial Life Research Artificial Life (ALife) research studies lifelike behaviors through computer simulations. This helps us understand “life as it could be.” However, the field has challenges, such as: Manual Simulation Rules: Creating simulations takes…

Researchers at Stanford University have developed a new training technique called Convex Optimization of Recurrent Neural Networks (CORNN) to improve the speed and scalability of training large-scale neural networks. CORNN has been shown to be 100…

Generative AI requires independent evaluation and red teaming to uncover risks and ensure alignment with safety and ethical standards. However, current AI companies’ practices, such as restrictive terms of service and limited independent research access, hinder…

The London Underground conducted a year-long AI surveillance trial at Willesden Green Tube station, monitoring passengers’ behaviors, safety, and potential criminal activities through live CCTV footage. The AI issued over 44,000 alerts, including fare evasion, safety…

Advancements in LLMs and Their Challenges Large Language Models (LLMs) are transforming research and development, but their high costs make them hard to access for many. A key challenge is reducing latency in applications that require…

Understanding Neural Machine Translation (NMT) Neural Machine Translation (NMT) is an advanced technology that translates text between languages using machine learning. It plays a crucial role in global communication, particularly for tasks like technical document translation…

Understanding the Importance of Data in AI In the fast-changing world of artificial intelligence, the success of machine learning models greatly depends on the quality and amount of data available. Real-world data is valuable for training,…

Unlock the Future of AI with Free Courses In 2025, a wealth of educational resources is available for those interested in artificial intelligence. AI agents are leading the way in this field, capable of performing complex…

LLM-based applications, powered by Large Language Models (LLMs), are becoming increasingly popular. However, as these applications transition from prototypes to mature versions, it’s important to have a robust evaluation framework in place. This framework will ensure…

Practical Solutions for AI Risk Management Unified Framework for AI Risks AI-related risks are a concern for policymakers, researchers, and the public. A unified framework is crucial for consistent terminology and clarity, enabling organizations to create…

Practical Solutions for Retrieval-Augmented Generation (RAG) Challenges in Current RAG Pipeline RAG faces challenges in efficiently processing chunked contexts and ensuring high recall of relevant content within a limited number of retrieved contexts. Advancements in RAG…

China’s Ministry of Industry and Information Technology (MIIT) has released guidelines for the development of an industry ecosystem to mass-produce humanoid robots. The document predicts that humanoid robots will be as disruptive as computers, smartphones, and…

Introduction to Brain-Computer Interfaces Brain-computer interfaces (BCIs) have advanced significantly, providing communication options for those with speech or motor challenges. Most effective BCIs use invasive methods, which can lead to medical risks like infections. Non-invasive methods,…