Friday, 29 September 2017

Deep Learning: Transforming the Future of Technology

Deep learning involves the study of synthetic neural networks and other associated machine learning algorithms containing several hidden layers. It is a new subfield in machine learning that works toward improving various areas such as language and image processing and voice search. 

Deep learning is changing the future of technology in several ways. Here are some of the major application areas:

Recommendation Engines

Many big companies, such as Google and Amazon use recommendation engines for their mobile and web applications. These companies have access to large user-generated databases that help them add value to both their businesses and their users.

Voice-activated Virtual Assistants

The most popular application area for deep learning is voice search and voice-activated virtual assistants. Many tech giants have significantly invested in this application area and this feature can now be found on almost all smartphones. Well-known examples of voice-activated intelligent assistants are Microsoft’s Cortana and Apple’s Siri.

Image Recognition

Image recognition is another growing area of deep learning. It is aimed at recognizing and identifying various objects and people in images. It is already in use in many sectors such as social media, gaming, and tourism.

Market Insights

The global deep learning market is expected to witness substantial growth because of its rising application in various industries such as healthcare and autonomous vehicles. Significant developments in various machine learning algorithms and deep learning chipsets is a key growth factor for the market. Microsoft Corp.; NVIDIA Corp.; Google, Inc.; Clarifai, Inc.; Advanced Micro Devices, Inc.; and Intel Corp. are some of the key companies operating in the global market. These major players are actively engaged in mergers and acquisitions to deal with issues of developing suitable hardware and to gain a stronger market position. In addition, these companies are investing extensively in building deep learning capabilities to integrate this technology into their services and products.

Read more at:

No comments: