Search results for: 'data quantum'

The Microelectronics Technology Opportunity Engine covers innovations pertaining to optoelectronics powering Hyperscale AI and Data Center Interconnects, Advanced Transceiver Chip For Increased Communication Efficiency, Low-Power System-on-Module (SoM) For Enhanced AI Applications, Next-generation Defect Review System with Faster Analysis of Nanosc...

Data-driven materials informatics is transforming the discovery and development of advanced materials, enabling faster innovation across polymers, coatings, and catalytic systems. By integrating experimental data, computational simulations, and AI and ML models, these platforms enable predictive design, efficient formulation optimization, and accel...

High growth is expected in the enterprise data market due to the sociopolitical scenario in India, which has led to many investments by both national and international corporations. New technologies such as Software-defined Networking (SDN) and Network Functions Virtualization (NFV) are emerging in the global market and are also making inroads into...

This edition of IT, Computing and Communications (ITCC) Technology Opportunity Engine (TOE) captures developments related to Hyper-Distributed Edge Cloud, Edge AI Orchestration, Edge IoT, Real Time Analytics, Marketplace, Application Risk, 5G Data Management, AI Voice, Private Network PaaS, No-Code Workflow Automation, Vision AI, Digital Learning a...

The Sensor Technology Opportunity Engine provides profiles of innovations related to ultra-long-range 4D FMCW LiDAR enabling motion-aware perception for autonomous systems; terahertz-based 4D imaging sensor for high-resolution, all-weather automotive perception; ultra-long-range 4D imaging radar with AI-enabled edge perception for high-speed autono...

This study provides market data for the US Urinalysis Market. Market segments include sediment and dipstick. Sediment and dipstick are further segmented by instruments and reagents. In this deliverable, market revenues, installed base units, and market share are included. Further analysis will be provided in a separate deliverable to accompany this...

Across various industrial sectors, digitalization has rapidly developed, utilizing several existing and emerging digital technologies, including AI, Big Data analytics (BDA), IoT, machine learning (ML), natural language processing (NLP), robotics, and automation. While the chemicals industry was relatively slow to adopt these technologies, the tran...

Companies globally are trying to understand on how to keep their data safe and at the same time use technologies such as cloud computing to stay ahead of competition. Global companies have taken the hybrid route, where they are keeping their sensitive data inside their own data centers and the rest of the data is kept in the cloud. Companies can us...

Once affordable only to massive research organizations, AI solutions are now accessible to any business. Across industries and segments, organizations are leveraging various forms of AI to streamline business operations, improve customer experience, and identify new revenue streams. As a result, businesses are scrambling to amass data of every kind...