CHICAGO--(BUSINESS WIRE)--Alight, Inc. (NYSE: ALIT) (“Alight” or the "Company”), a leading cloud-based human capital and technology-enabled services provider, today announced that Greg Giometti has ...

Abstract: Human motion understanding is a fundamental task with diverse practical applications, facilitated by the availability of large-scale motion capture datasets. Recent studies focus on ...

Alight (NYSE:ALIT) just unveiled a strategic partnership with MetLife. This collaboration expands guaranteed income solutions on its Worklife platform and introduces a new AI-driven tool designed to ...

Have you tried to type over a line in Microsoft Word, but the text does not stay on the line but keeps on moving and creating space? Are you wondering how to get the text on the line without the line ...

LILYGO T-LoRa Pager is an ESP32-S3-based IoT handheld device that comes in an old pager form factor but relies on LoRa for text messaging, GNSS for positioning, NFC for contactless communication, and ...

Unlocking language's rhythm, harmonizing sound, and meaning - via the newest technologies and technological research. Unlocking language's rhythm, harmonizing sound, and meaning - via the newest ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

A fundamental challenge inherent in text-to-motion tasks stems from the variability of textual inputs. Even when conveying similar or the same meanings and intentions, texts can exhibit considerable ...

This paper introduces Alter3, a humanoid robot that demonstrates spontaneous motion generation through the integration of GPT-4, a cutting-edge Large Language Model (LLM). This integration overcomes ...

Brown University researchers have developed an artificial intelligence model that can generate movement in robots and animated figures in much the same way that AI models like ChatGPT generate text. A ...

Abstract: Current methods have shown promising results in applying diffusion models to motion generation given text input. However, these methods are limited to unimodal inputs and outputs, restricted ...