Search results for: 'drone learning interact future of ai technician insights'

With improvements in data acquisition and computing power, artificial intelligence (AI) is becoming more of a reality each day. Companies are constantly developing self-evolving machine learning approaches and hardware enhancements to support AI applications. This study explores new innovations in machine learning and computing that will enable the...

21 Dec 2022  |  Global  |  Technology Research

Supercomputers: Enabling Applications of the Future

The Demand for High-performance Computing Boosts Future Growth Potential Across Application Areas

Infographics

×

A supercomputer is an interconnected system of processors, memory modules, input, and outputs (I/O), and network nodes, that collectively execute highly complex tasks in a significantly smaller time frame than a regular computer. A regular computer may take years to execute certain processes while a supercomputer can achieve those in minutes. Super...

As autonomy becomes the key objective of industries across the globe, artificial intelligence (AI) and machine learning (ML) systems too are being driven to adopt a more decision making role with an objective to find and implement the most effective methods of executing business goals. A key area of interest for businesses is to implement ML system...

20 Sep 2023  |  Global  |  Technology Research

Edge AI Accelerators—Emerging Opportunity Analysis

Expanding IoT Applications Drive Growth

Infographics

×

Specialized edge AI hardware that enables quick deep learning on-device has become essential due to the rising need for real-time deep learning workloads. Additionally, a cloud-based AI method cannot ensure data privacy, low latency, or offer high bandwidth. As a result, many AI workloads are shifting to the edge, increasing the demand for speciali...

Generative artificial intelligence (GenAI) has gained attention as an emergent area of artificial intelligence in which machines autonomously create novel content similar to the input data on which they were trained. Powered by advanced algorithms and neural networks, GenAI creates images, text, music, and more. This ability has caught the attentio...

As industries across the globe pursue digitization across functions, more and more data are being generated and utilized to empower decision making and insight generation. As the volume and complexity of data increases, it is also becoming difficult for traditional machine learning (ML) algorithms to make sense of a large number of variables. The l...

Disruptive AI models are increasingly challenging traditional assumptions about “classic” cloud data centers. As training clusters scale up to thousands of accelerators and consume tens of megawatts of power, the conventional CPU-centric, air-cooled, monolithic server model is no longer sustainable. This research study explores the megatrend of AI ...

15 Nov 2016  |  Global  |  Market Research

Global Enterprise Learning Management Systems (LMS) Market, Forecast to 2022

Changing Workforce Dynamics and the Need to Address High Attrition Rates Drive Adoption as Companies Look to Provide Opportunities that Help Employees

Infographics

×

Enterprise learning management systems (LMS) serve as an excellent means to deliver multimedia and interactive course content to today’s generation of digitally connected employees. The global LMS market crossed $1.63 billion in revenue in 2016 and is expected to grow to $3.20 billion at a compound annual growth rate (CAGR) of 11.9%. This market is...

AI has moved from being a standalone technology to a core building block that drives global business growth. Advancements in key AI technologies, such as machine learning, deep learning, natural language processing (NLP), and computer vision, are happening at an exponential pace, constantly unlocking new capabilities and applications. AI adoptio...