Intel Nervana

Glimpse Of Intel AI & HPC Summit : Application’s Of Artificial Intelligence – Part 3

Glimpse Of Intel AI & HPC Summit : Application’s Of Artificial Intelligence – Part 3

Read my previous article Part 2

Intel demonstrated some of the great applications of Artificial Intelligence where Intel’s hardwares and softwares out performing to solve complex problems in realtime using AI. Intel is working with many customers to solve their complex problems. 

Application’s Of Artificial Intelligence

1. Tumour detection in large 3-D medical images

Identifying tumour from huge medical images is yet another complex problems, today we have algorithms which does this job better than doctors.

2. Disease Risk Prediction Using Genetic Variation Data

3. Classification and predictions of protein sequences

4. Intelligent Knowledge Management 

This is another interesting application where, the algorithms analyse the huge set of documents and help the management to answer for complex queries.

5. Oil Rig Inspector Assist System

This is a very complex problem, identifying corrosion on nut-bolts under deep sea water is a complex problem solve for oil mining industries. Currently it is a manual process, where video cameras are fixed in oil rig systems and several hundred people will manually go through thousands of frames of videos manually and identify the corrosion on nut-bolts.

Now Intel is working with such industries to automate the process by analysing the video frames. thousands of video frames will be analysed in just few hours. The algorithms are capable of identifying the corrosion with great precision.

6. Self driving Cars and Car automation

BMW CARASSO is the system based on ai, the company is using to collect data from several sensors to debug their hard systems and to achieve the quality in their product. Company is using this system only for their internal quality improvements and to understand the roads and behaviour of the cars.

Intel has lot of open source code base which can be used for many such applications, kindly see the source code of Intel’s Nervana in Github

Glimpse Of Intel AI & HPC Summit : Intel’s Vision For Artificial Intelligence Part 1

Glimpse Of Intel AI & HPC Summit : Intel’s Vision For Artificial Intelligence

Thought of writing highlights of Intel AI & HPC Summit held in Bengaluru on 9Mar2018, The event was superb What is AI, What is current state of AI, What is future of AI. Now the whole world is talking a lot about AI , Artificial intelligence is transforming the industries, health care, transportation, education and our entire life style 🙂 There are lot of positive side of Artificial Intelligence but many people are afraid about the future, some even say Humanity may destroy either by natural disasters or by AI and some of the demos shown in yesterday’s summit also tend to think us in that way.

What is AI (Artificial Intelligence) ?

Well I do not give textbook definition for AI, because one google search on this topic will give you many definitions, here I would like to explain AI in simple way, humans are most intelligent animals on this planet, we invented machines to ease our life, we learn to manage and control the machines for our comfort, but that era is over, now we are onto a new transformation, machines are becoming smarter than humans, with no doubt one can say in future machines will control humans 🙂 thats all AI 

for your better understanding of AI, Intel defines as ” the key to machine intelligence is that it must be able to sense, reason, and act, then adapt based on experience.”

  • SenseIdentify and recognize meaningful objects or concepts in the midst of vast data. Is that a stoplight? Is it a tumor or normal tissue?
  • ReasonUnderstand the larger context, and make a plan to achieve a goal. If the goal is to avoid a collision, the car must calculate the likelihood of a crash based on vehicle behaviors, proximity, speed, and road conditions.
  • ActEither recommend or directly initiate the best course of action. Based on vehicle and traffic analysis, it may brake, accelerate, or prepare safety mechanisms.
  • AdaptFinally, we must be able to adapt algorithms at each phase based on experience, retraining them to be ever more intelligent. Autonomous vehicle algorithms should be re-trained to recognize more blind spots, factor new variables into the context, and adjust actions based on previous incidents.

What Does AI Look Today ?



What does AI look Today

What does AI look Today


Reference : How To Get Started as a Developer in AI

As per Prakash Mallya, Managing director – Sales and Marketing Group, Intel India Pvt Ltd, today the traffic due to ai, some stats shows as follows.

3000 GB per day from smart hospitals 

4000 GB per day from smart Cars

1, 000, 000 GB per day from connected factories

also 1 in 7 organisations adopting AI and the key sectors where AI is being adopted are,  BFSI (Banking Finance Services and Insurance) , Health care, Industries, Self driving cars etc. 

Intel’s Vision For AI

Intel is focusing on different aspects to emerge as leader in AI, it is not only building great products but it is creating the whole eco system to succeed in this AI era. Following are some of the key focus for Intel, which we can say building blocks for Artificial Intelligence

  1. Machine Learning

pcworld has detailed post about how Intel is mastering in machine learning through Intel’s Nervana, a Deep Learning Cloud and System. Nervana Cloud is a hosted platform designed to give organizations of all sizes the ability to quickly build and deploy deep-learning tools without having to invest in infrastructure equipment or a large team of experts. Based on neon, Nervana’s open-source deep-learning framework, the full-stack offering is optimized to handle complex machine-learning problems at scale

  2. Reasoning System

Another important building blog for AI is, reasoning system. Intel® Saffron™ uses human-like reasoning to find hidden patterns in data to enable confident decisions that deliver rapid return on investment (ROI).

  3. Computer Vision

Intel® Movidius™ VPUs drive the demanding workloads of  modern computer vision and AI applications at ultra-low power. By coupling highly parallel programmable compute with workload-specific hardware acceleration, and co-locating these components on a common intelligent memory fabric, Movidius achieves a unique balance of power efficiency and high performance. Movidius technology allows device makers to deploy deep neural network and computer vision applications in categories such as smartphones, drones, intelligent cameras and augmented reality devices.

  4. Depth Sensing

Intel® RealSense™ technology is fundamentally re-shaping the future of technology by equipping devices with the ability to see, understand, interact with, and learn from their environment.1 There are three products with depth perception technology that enable you to create new and innovative ways to connect with the world.

Read More : glimpse-of-intel-ai-hpc-summit-intels-vision-for-artificial-intelligence-part-2