Latest Questions Answers

About Us

Dedicated Educators IT Experts

We know that learning is easier when you have an excellent teacher. That's why most of our educators have achieved an advanced degree in their field. Our faculty are passionate about the subjects they teach and bring this enthusiasm into their lessons.

Blockchain Experts

 

A blockchain is a singly LinkedList of block, with each block containing a number of transactions. It provides a decentralised, immutable data store that can be used across a network of users, create assets and act as a shared black book that records all transactions. Each transaction can be easily queried, affording greater transparency and trust to all parties involved.

With the original creator, or creators, being anonymous the true motivations behind blockchain are arguably unknown. However it has proven to be a more than adequate solution to the many issues.

  1. Data that multiple clients (individuals or organisations) have a copy of, which in turn needs consolidating and validating
  2. Sharing inter-organisational data
  3. Digital asset registry
  4. Identity management (e.g. cryptographic identification)
  5. Interested parties could pull data from a blockchain

Enter distributed ledger technology. This is the umbrella term for all technologies of this nature, with blockchain being one implementation. This is made up of three identifying factors:

  1. Smart contracts
  2. Support for public and private networks
  3. Consensus mechanisms

Blockchain Implementations

The most well known implementation of blockchain technology is the Bitcoin. Created in 2008, this was a breakthrough in Blockchain technology and is often referred to as Blockchain 1.0. Bitcoin is a transaction focused implementation that allows for anonymous trading without a consortium, whilst still offering the basic distributed ledger of all transactions.

Other implementations exist, such as Digital Asset Holdings and Ripple, however these have been more financially focused rather than implementations designed with the individual consumer at the forefront. There is also the Hyperledger Project by IBM, but similarly this is geared more towards larger organisations than smaller companies or individuals.

Commitment to Excellence New Techniques

 

The top 10 technology trends predicted to reach adoption in 2018 are:

  1. Deep learning (DL). Machine learning (ML) and more specifically DL are already on the cusp of revolution. They are widely adopted in datacenters (Amazon making graphical processing units [GPUs] available for DL, Google running DL on tensor processing units [TPUs], Microsoft using field programmable gate arrays [FPGAs], etc.), and DL is being explored at the edge of the network to reduce the amount of data propagated back to datacenters. Applications such as image, video, and audio recognition are already being deployed for a variety of verticals. DL heavily depends on accelerators (see #9 below) and is used for a variety of assistive functions (#s 6, 7, and 10).
  2. Digital currencies. Bitcoin, Ethereum, and newcomers Litecoin, Dash, and Ripple have become commonly traded currencies. They will continue to become a more widely adopted means of trading. This will trigger improved cybersecurity (see #10) because the stakes will be ever higher as their values rise. In addition, digital currencies will continue to enable and be enabled by other technologies, such as storage (see #3), cloud computing (see B in the list of already adopted technologies), the Internet of Things (IoT), edge computing, and more.
  3. Blockchain. The use of Bitcoin and the revitalization of peer-to-peer computing have been essential for the adoption of blockchain technology in a broader sense. We predict increased expansion of companies delivering blockchain products and even IT heavyweights entering the market and consolidating the products.
  4. Industrial IoT. Empowered by DL at the edge, industrial IoT continues to be the most widely adopted use case for edge computing. It is driven by real needs and requirements. We anticipate that it will continue to be adopted with a broader set of technical offerings enabled by DL, as well as other uses of IoT (see C and E).
  5. Robotics. Even though robotics research has been performed for many decades, robotics adoption has not flourished. However, the past few years have seen increased market availability of consumer robots, as well as more sophisticated military and industrial robots. We predict that this will trigger wider adoption of robotics in the medical space for caregiving and other healthcare uses. Combined with DL (#1) and AI (#10), robotics will further advance in 2018. Robotics will also motivate further evolution of ethics (see #8).
  6. Assisted transportation. While the promise of fully autonomous vehicles has slowed down due to numerous obstacles, a limited use of automated assistance has continued to grow, such as parking assistance, video recognition, and alerts for leaving the lane or identifying sudden obstacles. We anticipate that vehicle assistance will develop further as automation and ML/DL are deployed in the automotive industry.
  7. Assisted reality and virtual reality (AR/VR). Gaming and AR/VR gadgets have grown in adoption in the past year. We anticipate that this trend will grow with modern user interfaces such as 3D projections and movement detection. This will allow for associating individuals with metadata that can be viewed subject to privacy configurations, which will continue to drive international policies for cybersecurity and privacy (see #10).
  8. Ethics, laws, and policies for privacy, security, and liability. With the increasing advancement of DL (#1), robotics (#5), technological assistance (#s 6 and 7), and applications of AI (#10), technology has moved beyond society's ability to control it easily. Mandatory guidance has already been deeply analyzed and rolled out in various aspects of design (see the IEEE standards association document), and it is further being applied to autonomous and intelligent systems and in cybersecurity. But adoption of ethical considerations will speed up in many vertical industries and horizontal technologies.
  9. Accelerators and 3D. With the end of power scaling and Moore's law and the shift to 3D, accelerators are emerging as a way to continue improving hardware performance and energy efficiency and to reduce costs. There are a number of existing technologies (FPGAs and ASICs) and new ones (such as memristor-based DPE) that hold a lot of promise for accelerating application domains (such as matrix multiplication for the use of DL algorithms). We predict wider diversity and broader applicability of accelerators, leading to more widespread use in 2018.
  10. Cybersecurity and AI. Cybersecurity is becoming essential to everyday life and business, yet it is increasingly hard to manage. Exploits have become extremely sophisticated and it is hard for IT to keep up. Pure automation no longer suffices and AI is required to enhance data analytics and automated scripts. It is expected that humans will still be in the loop of taking actions; hence, the relationship to ethics (#8). But AI itself is not immune to cyberattacks. We will need to make AI/DL techniques more robust in the presence of adversarial traffic in any application area.

Join Our Mailing List

Be the first to hear about upcoming classes, special events, and course registrations.

Contact Us

My Right Advise

lucknow, lucknow, UP 226022, IN

9891700413

Hours

Monday - Friday: 8AM - 10AM 9PM-11om

Saturday - Sunday: OPEN

Get in Touch!

Cancel