Search results for: 'algorithms softwar'

21 Dec 2017  |  Global  |  Market Research

World Building Automation Systems (BAS) Markets, Forecast to 2022

Energy Efficiency Initiatives and Converging Technologies will Establish Mass Adoption of BAS solutions

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Key Issues Addressed

The global building automation systems (BAS) market is poised for healthy growth in the next five years. The key driving factors are growing use of internet of things (IoT) technology, the rising popularity of LED lights for utilization of energy efficiently, increased reliance on wireless technology, and concern for overall energy consumption in b...

This report covers very high assurance network and data encryptors as well as very high assurance Secure Terminal Equipment (STE) used by NATO and non NATO military and government users. These encryption devices include NSA Type 1 algorithms or algorithms and implementations that are advertised to be acceptable to NATO. These encryptors and STE a...

China’s passenger vehicle navigation on autopilot (NOA) market is entering a phase of accelerated commercialization, scaling from 2.4 million units in 2025 to 15.0 million by 2032, reflecting a strong 29.8% CAGR. This surge marks a decisive transition from early-adopter experimentation to mass-market deployment, fueled by factory-fitted hardware st...

Sensors are an integral component found in most digital devices, from smartphones to intelligent vehicles. Industrial Internet of Things, smart cities and factories, autonomous cars, and telehealth create a need for sensor solutions that offer advanced data analytics for efficient usage of energy sources, improved health and safety, and environment...

Clinical diagnostics, life science research, genomics and proteomics, and drug discovery labs are adopting lab automation solutions to overcome tremendous operational pressure because of the demand for high throughput and shortage of technicians. Solutions that automate pre-analytical, analytical, and post-analytical processes are available. The re...

From its conception in the 1950s to early 2023, artificial intelligence (AI) underwent a series of improvements, from machine learning (ML) to deep learning (DL), which enabled it to mimic human responses (conversational AI), identify images (computer vision), and generate digital text, images, audio, and video, among other content types (generativ...

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...

The emergence of post-quantum cryptography (PQC) reflects a significant problem: powerful quantum computers may soon compromise the cryptographic algorithms underpinning today’s digital economy, threatening the confidentiality and integrity of sensitive data and communications. Addressing this risk is far more complex than simply replacing vulnerab...

A major challenge in drug discovery is the limited number of gene targets that can be targeted for the development of a drug molecule. Only close to 400 genes are proven targets for US FDA-approved drugs. 80% of human genes are unexplored as targets, and some are considered undruggable. The identification and the selection of novel drug targets (p...