Skip to content Skip to sidebar Skip to footer

Artificial Intelligence

Utilize AWS AI services to automate the validation process of derivatives in the capital markets sector.

The operation teams of capital markets face many hurdles in post-trade lifecycle, such as errors in booking, delays in trade settlements and inaccurate regulatory reports. Artificial intelligence and machine learning (AI/ML) technologies like Intelligent Document Processing (IDP), which automate data extraction from documents, can be of great assistance in overcoming these obstacles. This offers potential…

Read More

Unstructured Unveils a Seamless Serverless API: The Easiest, Quickest, and Most Cost-Efficient Method to Make Business Data Ready for AI

Unstructured, a major innovator in data transformation, has launched the Unstructured Serverless API, a breakthrough solution designed to streamline the processing and preparation of enterprise-level data for artificial intelligence (AI) applications. Not only does this offer a more straightforward approach, but it significantly accelerates the process and reduces costs. The Unstructured Serverless API is a…

Read More

The Artificial Analysis Group introduces the leaderboard and arena for text to image analysis.

Artificial Analysis has launched the Artificial Analysis Text to Image Leaderboard & Arena, an initiative aimed at evaluating the effectiveness of AI image models. The initiative compares open-source and proprietary models, seeking to rate their effectiveness and accuracy based on the preferences of humans. The leaderboard, updated with ELO scores compiled from over 45,000 human…

Read More

“DRR-RATE: An Extensive Synthetic Chest X-ray Collection Accompanied by Labels and Radiological Analysis”

Researchers from the Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Clinical Center, and National Center for Biotechnology Information have introduced a new method for creating synthetic X-ray images using data from computed tomography (CT) scans. The method, called Digitally Reconstructed Radiography (DRR), uses ray tracing techniques to simulate the path of X-rays through CT volumes. Unlike…

Read More

Camb AI has launched MARS5 TTS – an innovative Open Source Text to Speech model that significantly enhances prosody.

MARS5 TTS, an open-source text-to-speech system, has been released by the team at Camb AI, offering game-changing levels of precision and control in the field of speech synthesis. This innovative system can clone voices and provide nuanced control of prosody using less than 5 seconds of audio input. MARS5 TTS utilises a two-step process involving a…

Read More

What is the Quantity of Scholarly Articles Produced Using ChatGPT? This AI Study Explores the Application of ChatGPT in Scholarly Writing by Overabundance of Vocabulary.

The use of large language models (LLMs), such as ChatGPT, has significantly increased in academic writing, resulting in observable shifts in writing style and vocabulary, particularly in biomedical research. Concerns have risen around the authenticity and originality of scientific content and its implications for research integrity and the evaluation of academic contributions. Traditional methods for detecting…

Read More

An algorithm originating from MIT aids in predicting the occurrence rate of severe weather conditions.

Scientists from MIT have developed a technique that helps to fine-tune predictive models for extreme weather events by combining machine learning and dynamical systems theory. Currently, climate models are run decades and even centuries in advance to assess a community's risk to extreme weather but these generally operate at a rough resolution. As a result,…

Read More

The Jamba-Instruct model from AI21 Labs is now accessible on Amazon Bedrock.

AI21 Labs has made its Jamba-Instruct large language model (LLM) available in Amazon Bedrock. Among its remarkable attributes, Jamba-Instruct supports a 256,000-token context window, making it suitable for handling large documents and complex Retrieval Augmented Generation (RAG) applications. This language model is the instructional version of the Jamba base model. It merges Structured State Space (SSM)…

Read More

Scientists at Stanford University Suggest SleepFM: The Initial Multi-Mode Base Model for Sleep Examination.

Sleep monitoring is a crucial part of maintaining overall health, yet accurately assessing sleep and diagnosing disorders is a complex task due to the need for multi-modal data interpretation typically obtained through polysomnography (PSG). Current methods often depend on extensive manual evaluation by trained technicians, making them time-consuming and susceptible to variability. To address these…

Read More

Introducing Maestro: An AI Framework designed for Claude Opus, GPT, and Local LLMs to Coordinate Subagents.

The technological world is advancing at a rapid pace, making the management of complex tasks more challenging. The difficulty lies in breaking down extensive objectives into manageable parts and coordinating multiple processes to achieve a unified result, a challenge that becomes more significant when using AI models, which can sometimes yield fragmented or incomplete results. Traditional…

Read More

Introducing LongRAG: An innovative AI structure that merges RAG and extended-context LLMs to boost efficiency.

Retrieval-Augmented Generation (RAG) methods improve the ability of large language models (LLMs) by incorporating external knowledge gleaned from vast data sets. These methods are particularly useful for open-domain question answering where detailed and accurate answers are needed. RAG systems can utilize external information to complement the inherent knowledge built into LLMs, making them more effective…

Read More