AI

Meta’s AI characters users might seem useless, but fake social media users can sometimes offer valuable insights into real human behavior.

Generative AI applications are gaining widespread adoption across various industries, including regulated industries such as financial services and healthcare. As these advanced systems accelerate in playing a critical role in decision-making processes and customer interactions, customers should work towards ensuring the reliability, fairness, and compliance of generative AI applications with industry regulations. To address this

This post was co-written with Ben Doughton, Head of Product Operations – LCH, Iulia Midus, Site Reliability Engineer – LCH, and Maurizio Morabito, Software and AI specialist – LCH (part of London Stock Exchange Group, LSEG). In the financial industry, quick and reliable access to information is essential, but searching for data or facing unclear

Large language models (LLMs) have demonstrated promising capabilities in machine translation (MT) tasks. Depending on the use case, they are able to compete with neural translation models such as Amazon Translate. LLMs particularly stand out for their natural ability to learn from the context of the input text, which allows them to pick up on

This blog post is co-written with Siokhan Kouassi and Martin Gregory at Parameta.  When financial industry professionals need reliable over-the-counter (OTC) data solutions and advanced analytics, they can turn to Parameta Solutions, the data powerhouse behind TP ICAP . With a focus on data-led solutions, Parameta Solutions makes sure that these professionals have the insights

Nvidia CEO Jensen Huang says the new family of foundational AI models was trained on 20 million hours of “humans walking; hands moving, manipulating things.”

Nvidia CEO Jensen Huang also announced new AI tools for creating autonomous agents during a keynote address at CES.

In this post, we walk you through the process to build an automated mechanism using Amazon SageMaker to process your log data, run training iterations over it to obtain the best-performing anomaly detection model, and register it with the Amazon SageMaker Model Registry for your customers to use it. Log-based anomaly detection involves identifying anomalous

By grappling with the messy and unpredictable side of existence, machine learning can have impact beyond the digital.

This week at CES, companies of all sizes will show off all their new AI-enabled gadgets. Here’s hoping they don’t all just do stuff your phone already excels at.