What is the future of computer memory?

As improvements in in-memory computing occur, it is becoming more affordable and easier to implement, making widespread adoption inevitable in the future. According to a Gartner report, the In-Memory Computing (IMC) market will touch around a $15 billion mark by 2021, a significant increase from $6.8 billion.

What are some general trends in the development of computer?

Current trends in hardware and software include the increasing use of reduced instruction-set computing, migration to the UNIX operating system, the development of large software libraries, microprocessor-based smart terminals that allow remote validation of data, speech synthesis and recognition, application …

What is in-memory computing?

What Is In-Memory Computing? In-memory computing means using a type of middleware software that allows one to store data in RAM, across a cluster of computers, and process it in parallel. RAM is roughly 5,000 times faster than traditional spinning disk.

How is the nature of hardware changing?

Today’s hardware technologies and environments are undergoing dramatic changes. Specifically, the advent of high-performance processors and hardware accelerators, new nonvolatile memory (NVM), and a high-speed network are rapidly changing the base support for traditional data management and analysis systems.

What’s the future of memory in a computer?

The Future of Computer Memory You may know of Moore’s law, which predicts that electronic transistor density will double every 2 years. This prediction has been accurate for decades, and is often taken as a law of nature. The results: cheaper, faster computers every year are a staple of modern technology and life.

What are some of the future technology trends?

Distributed ledger technology (such as blockchain), Artificial intelligence (AI), Extended reality (including virtual and augmented reality), and Quantum computing, abbreviated to DARQ form one such future technology trend of 2020 that business must integrate on priority.

What are the current trends in deep learning?

Some of the primary trends that are moving deep learning into the future are: Current growth of DL research and industry applications demonstrate its “ubiquitous” presence in every facet of AI — be it NLP or computer vision applications.

What are the trends in learning in 2020?

No. 1: We’ll see an increase in personalized learning. Personalized learning will boom in 2020, thanks to the ability of artificial intelligence and machine learning to assess a learner’s needs and offer customized learning content, predicted Celeste Martinell, vice president of customer success at BenchPrep.