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Monday, July 13, 2020

Leveraging Machine Learning in the fight against Covid-19

Machine Learning is a type of Artificial Intelligence(AI) that gives a system the ability to learn and improve automatically from the experiences without programming explicitly.

Machine learning uses two techniques, inductive and deductive. Deductive learning is based on the usage of existing facts and historical knowledge to deduce new knowledge and facts. While inductive machine learning deals with the creation of new programs by pattern matching and pattern analysis in the unseen data.


Machine Learning Steps:

To build a Machine Learning model, there are significant steps to be followed.


1.       Get Data: Gather the data that you want to provide to the algorithm.

2.       Clean, Prepare & Manipulate Data: Clean and prepare the data into the optimal format, extract important features, and perform the reduction of unnecessary data.

3.       Train Model: The Machine Learning algorithm starts learning from the data gathered and prepared.

4.       Test Data: The performance of the model is tested.

5.       Improve: Some improvements are to be made to maximize the performance of the model.


Machine Learning Methods:

  • Supervised learning:  In supervised learning, the algorithm is trained on structured data, it allows the algorithm to know the relation between two points.
  • Unsupervised learning: The algorithm is trained on unstructured data. The algorithm itself has to identify the patterns and trends within the data.
  •  Reinforcement learning: The dataset allows the algorithm to learn and improve itself by the trial-and-error method.


Advantages :


  •   Easily identifies the trends and patterns
  •   No human intervention needed
  •   Continuous improvement
  •   Handles multi-dimensional and multi-variate data
  •   Huge variety of applications




  •  Gathering large datasets which include biased and unbiased data to train models
  •   Machine Learning requires more time and resources
  •   Choosing the algorithms to get accurate results
  •   Machine Learning is highly susceptible to errors


Leveraging Machine Learning in fight against Covid-19

To control Covid-19, associations are applying their specialized skill in Machine learning and AI. These technologies are helping us better understand the Covid-19 crisis as they have enabled the systems to identify patterns and insights by feeding large volume of data to machines.

In the fight against COVID-19, affiliations have applied their machine learning fitness in a couple of districts: scaling customer correspondences, perceiving how the contamination spreads and quickening assessment and treatment.

All kinds of organization, whether small or large, public or private, are finding new ways to operate effectively so as to meet the needs of their customers and employees as social distancing and quarantine measures remain in place. Machine learning innovation is assuming a significant job in empowering this move by giving the devices to help remote correspondence, empower telemedicine, and ensure food security.

Medical services and government foundations are utilizing machine learning-empowered chatbots for contactless screening of COVID-19 indications and to respond to inquiries from general society., a French start-up, is one such example, which has launched a chatbot to assist people seek out official government communications about COVID-19. Controlled by continuous data from the French government and the World Health Organization, the chatbot evaluates known side effects and answers inquiries regarding government approaches.

To maintain a strategic distance from any disturbance to the food flexibly chain, food processors and governments need to comprehend the present status of horticulture. Agri-tech fire up Mantle Labs is offering its forefront AI-driven harvest checking answer for retailers to give sureness to flexibly chains in the UK. The innovation surveys satellite pictures of yields to hail likely issues to ranchers and retailers at an opportune time so they can all the more likely oversee gracefully, obtainment and stock arranging. The platform deploys custom machine learning models to combine imagery from multiple satellites, enabling a near real-time assessment of agricultural conditions.

Machine learning is helping analysts and specialists in breaking down enormous datasets to estimate the spread of COVID-19, to go about as an early notice framework for future pandemics and to recognize powerless populaces. Researchers at the Chan Zuckerberg Biohub in California have built a model to know COVID-19 infections that go undetected and its consequences on the health of people. Utilizing machine learning and joining forces with the AWS Diagnostic Development Initiative, they have grown new strategies to measure undetected contaminations – breaking down how the infection changes as it spreads.


In the field of clinical imaging, specialists are utilizing machine learning to help perceive designs in pictures, improving the capacity of radiologists to demonstrate the likelihood of ailment and analyze it prior. UC San Diego Health has built another strategy to analyze pneumonia prior, a condition related with extreme COVID-19. This early recognition helps specialists rapidly treat patients to the proper degree of care even before a COVID-19 finding is affirmed. It is prepared with 22,000 documentations by human radiologists, and the machine learning calculation overlays x-beams with shading coded maps that show pneumonia likelihood. These techniques have now been sent to each chest x-beam and CT scan all through UC San Diego Health in a clinical examination study.

Machine learning is helping people make more informed decisions in the face of COVID-19. Machine learning has got the potential to help solve the biggest challenges of our world - and we can see it in the way the organizations are responding to this crisis. We can hope to find new ways by which machine learning can contribute in the fight against COVID-19.



Wednesday, July 01, 2020

Automation in industry and its impact due to COVID-19

Automation is the use of control systems, such as robots or computer, and information technologies for handling different processes and machineries in an industry to replace a human being.


Automation provides benefits to all of industry. Some examples are:

  •  Manufacturing: It includes food and pharmaceutical, chemical and petroleum, pulp and paper
  •  Transportation: It includes automotive, aerospace, and rail
  •  Utilities: It includes water and wastewater, oil and gas, electric power, and telecommunications
  •  Facility operations: It includes security, environmental control, energy management, safety, and other building automation.

Automation is present in all functions within the industry starting from installation, integration, and maintenance to design till procurement, and management. It even reaches into the marketing and sales functions of these industries.

Automation professionals are responsible for solving complex problems in various vital aspects of industry and its processes. The work of automation professionals is critically important towards the preservation of the health, safety, and welfare of the public and to the sustainability and enhancement of quality of life.


Advantages of automation

1.Low operating cost: Automation eliminates the cost related to human operator such as health care cost, paid leaves, bonuses and pensions.  It saves the monthly wages of the workers which leads to substantial cost savings for the company.

2.High productivity: Automation leads to significant increase in the productivity of the company as it allows a company to run a manufacturing plant for 24 hours in a day 7 days in a week and 365 days a year.

3. High Quality: Automation eliminates the error associated with the human being. Robots are not involved in any kind of fatigue, which ultimately results in products with uniform quality manufactured at different times.

4.High flexibility: Automation makes the manufacturing process more flexible. Human operator will require training for the new task but robots can be programmed.

5. High Safety: Automation makes the production line safe for the employees by deploying robots to handle hazardous conditions.

Disadvantages of automation:

1.High Capital expenditure: Automation can be highly effective and brings a positive ROI, it may  require a fairly high capital cost.

2. Fear of losing their jobs.

3. Loss of flexibility

Types of automation

Automation in production can be distinguished into 3 types:-

    1.Fixed Automation: Fixed automation refers to the use of special purpose equipment in which we      automate a fixed sequence of processing or assembly operations. It is also known as hard automation.


      2.Programmable Automation: In programmable automation, the equipment is designed with the          capability to change the sequence of operations to accomodate different product configurations.


3.Flexible Automation:  Flexible automation is an extension of programmable automation. Here the system is capable of producing a variety of parts with virtually no loss of time for changeovers from one part style to the next. The loss production time is nearly zero while reprogramming the system and altering the physical set up.

Impact of COVID-19 on automation industry

Due to the lockdown implementation for the prevention of COVID-19, almost all conferences that had to happen in the last three quarters of 2020 have either been postponed to 2021 or cancelled. The automation industry will be facing a huge slowdown due to the lockdown and cancellation of major conferences in manufacturing in 2020, but there might be a hope of pickup in 2021.

Technology industry is expected to be the most affected industry by covid-19. The pandemic stress has become a test for the ability to cope up and efficiency of the companies under these kind of situations. Most of the companies will suffer a loss or drop in the revenues.

Impact of COVID-19 is different in various industries of automation. Most of the industries like food automation, manufacturing automation, industrial automation etc. are stuck where they are. In the future, there will be a huge demand for these kind of industries due to the innovation. There will be necessity to minimalize the person to person contact where ever possible. Even companies started taking steps towards this kind of new innovation.

The global pandemic has encouraged companies to innovate like never before in the past. Most of the companies who might have been slow to adapt technologies on automation like Machine learning, artificial intelligence and Robotic process automation has been leveraging these technologies as a way to cut the costs during this economic crisis and also to provide faster services to the customers and restart their operations for distributed work. Whatever the work is done on automation today will pave a way for a better future. For example, hospitals who are implementing the new technologies in the treatment of coronavirus has been utilizing the automation well and the government personnel are encouraging this by lending them loans for lesser interests to buy the equipment requires for the implementation on new technologies.

Health care organizations are one of the bunch who are using software robots under automation in the pandemic situation in innovative ways. Some of the are creating ventilator splitters which help to use one ventilator for multiple patients, creating personalized proactive equipment (PPE) kits for the front line workers using 3D printers, live reporting of COVID-19 results globally on different websites with second to second accuracy, to analyse the incoming data from around the globe on COVID-19 reports. Most of the hospitals helped nurses to refocus energy and time by leveraging automated systems.

Automation helps to empower humans to do the compassionate, strategic and creative work at their best and make the world a better place