Tuesday, 13 October 2020

General Purpose Machine Learning Algorithms - A Summary (#machinelearning)(#MLAlgorithms)(#ipumusings)

General Purpose Machine Learning Algorithms - A Summary

General Purpose Machine Learning Algorithms - A Summary (#machinelearning)(#MLAlgorithms)(#ipumusings)

In layman terms, machine learning is a process that teaches a machine to think like a human being and perform a set of operations. Like continuous learning by our brains improves our intelligence and decision making. Similarly, machines work in a similar fashion.

Here is a summary of the most commonly used Machine Learning (ML) algorithms that might help you pick up the right one as per your requirements. Most of the ML algorithms in the list are multi-purpose. Please note the list is not inclusive.

Monday, 5 October 2020

Biochemistry - MCQs on Amino Acids (#biochemistry)(#aminoacidsquiz)(#ipumusings)

Biochemistry - MCQs on Amino Acids

Biochemistry - MCQs on Amino Acids (#biochemistry)(#aminoacidsquiz)(#ipumusings)

Direction: Read the question carefully and choose the right option from the choices given.

Q1: Name the amino acid that exists naturally in all three domains of life.

(a) Arginine

(b) Selenocysteine

(c) Proline

(d) Tyrosine

Q2: Which of the following is hydrophyllic amino acid?

(a)  Methionine

(b) Isoleucine

(c) Tyrosine

(d) Asparagine

Q3: Sulphur containing amino acid is?

(a) Cysteine

(b) Leucine

(c) Threonine

(d) Arginine

Friday, 25 September 2020

Rise Of Machines - New Cloud Trends Setting the Future (#futuretrends)(#artificalintelligence)(#ipumusings)(#intelligentmachines)

Rise Of Machines - New Cloud Trends Setting the Future

Rise Of Machines - New Cloud Trends Setting the Future (#futuretrends)(#artificalintelligence)(#ipumusings)(#intelligentmachines)

Over the last decade rise of cloud-based applications, terabytes of storage have revolutionised the Internet. Whether it is sharing photographs,  creating balance sheets or managing virtual teams, as a consumer we have started using cloud-based services for everyday tasks. There is no doubt cloud-based applications offer many benefits like storage, email collaboration, streaming multimedia, sharing and the list goes on.

Cloud technologies are still emerging, many infrastructure-based services emerged in the last decades and have standardised the services. However, boundaries between cloud computing and other paradigms of computing have a blurred line.  Cloud-based architectural patterns are still emerging. Technology architects are constantly trying to establish the best practices to design, develop and manage cloud-based applications.

Artificial intelligence, Big Data, Machine learning, Data Centres and quantum computing are going to set future trends in cloud computing. 

AI and Machine Learning:

AI began with the idea of creating machines that imitated humans. Futurists predict very soon AI-based machines outpace human intelligence. Machine learning techniques are becoming omnipresent nowadays. So far the most successful machine learning-based applications are those that have fairly automated decision-making processes. Google search engine easily understands our mistyped search terms and pulls up relevant results. Alexa and Google Home wait for our instructions at home and converse smartly. AI-powered navigational cars and trucks, automated finance tradings, Detecting fraudulent activity in credit card transactions etc. are the leading examples of how ML-based applications are setting the future trend. No doubt AI and Machine learning will help to create applications will have wide expanse in cloud computing. By using artificial intelligence, computing platforms are growing their efficiency. It now gives agencies the ability to automate and manipulate their strategies intelligently. 

Big Data 

All business today need an automated system full of analytical and operational capabilities to address the needs of consumers. For example, media companies (like JioTV, Amazon Prime) can deliver personalised content through setup boxes or players. Companies like Amazon, Flipkart are analysing visitors data and are segmenting users into groups with similar preferences. This results in emerging new business models for monetization or recommender systems or detecting transactions as fraud detection. Applications like Hadoop, Spark can handle a large amount of data and offer cloud-based Big Data analytics-based solutions.

Rise Of Machines - New Cloud Trends Setting the Future (#futuretrends)(#artificalintelligence)(#ipumusings)(#intelligentmachines)
Image Credits: Tumisu (pixabay.com)

Data Centres

Big Dataware houses are capable of dealing with voluminous as well as the velocity of data. Today Dataware houses are not merely reporting dashboards and KPI based. Big Data analytics, Cloud and AI technology have added new dimensions to it and make it ready for Industry 4.0. New datacentres will be AI-ready, data-driven, cloud-based with flexible storage options and economically available to small businesses also.

Quantum Computing 

Quantum computing appears to be a promising technology that can give a quantum leap in terms of speed and complexity. Unlike classical digital computers, based on binary systems, quantum computers use Q-Bits (Quantum states) to perform computing operations. IBM and Google lead in building quantum computing-based solutions.  Last year (Oct 2019), Google claimed to achieve 'quantum supremacy' outperforming supercomputers. It's Quantum processor called Sycamore was able to perform a specific task in 200 seconds that would take the world's best supercomputer 10,000 years to complete. 

Natural Language Processors (NLP)

NLP is challenging and facilitates the language interaction between humans and computers using natural languages such as English. NLP machines are trained to decipher text like humans do. Techniques like speech recognition, sentiment analysis, translation, auto-correction of grammar in text files prove to be useful for dissecting huge volumes of text information. NLP with deep learning can prove to be a game-changer for future machines.

Internet of Things (IoT)

IoT devices are simple devices that can connect to the internet and are able to collect and exchange data. An IoT can be a temperature sensor in a refrigerator or internet-enabled oximeter which reads oxygen level reading and sends it to the respective Hospital cloud centre. The uses of IoTs are limitless. By 2025, it's predicted that there may be more than to 21 billion IoT devices, thus building a global IoT ecosystem.  Smart Home automation, wearable devices, digital energy meters have already created a market in the global world.  In coming times, IOT-enabled service bots will manage your home and office more smartly.   

Rise Of Machines - New Cloud Trends Setting the Future (#futuretrends)(#artificalintelligence)(#ipumusings)(#intelligentmachines)
Image by jeferrb (pixabay.com)

Nobody can predict what will the cloud look like in future. There is no doubt the above said technologies will prepare us for the future!

About the Author

Divij Handa, studying at University School of Information & Communication Technology, GGS Indraprastha University, Delhi, India. He wants to pursue his career in machine learning, artificial intelligence and cloud computing. 

Friday, 11 September 2020

Understanding Membrane Technology (#biotechnology)(#biochemistry)(#ipumusings)

 Understanding Membrane Technology

Understanding Membrane Technology (#biotechnology)(#biochemistry)(#ipumusings)


Membrane technology is a scientific term for a number of different, very characteristic separation processes. The membrane separation process is mainly based on the presence of semi-permeable membranes. The principle is “the membrane acts as a very specific filter that will let water flow through, while it catches suspended solids and other substances”. There are various methods to enable substances to penetrate a membrane. These can be performed by the following: applications of high pressure, the maintenance of a concentration gradient on both sides of the membrane and the introduction of an electric potential.

Tuesday, 1 September 2020

Automation - Need of an Hour - Post Covid19 Pandemic (#automation)(#businessprocesses)(#ipumusings)

 Automation - Need of an Hour - Post Covid19 Pandemic

Automation - Need of an Hour - Post Covid19 Pandemic (#automation)(#businessprocesses)(#ipumusings)

Covid19 has led the world to think that uncertainty plays a major role in the near future. To stay in the game, enterprises must adopt measures to survive and sustain. It is imperative the emerging technologies will play a larger role in the near future. Automation in different sectors of the industry has become a necessity in the present scenario.

Automation is not new to the industry. Robots based manufacturing has been there for decades. Earlier there was focus to reduce mean time to resolution (MMTR) led to automation in IT-based industry. The emerging technologies based on IoT, AI, machine learning and cognitive methods have boosted the demand for a new level of automation. In Covid19 scenario, the industry is struggling with lesser man-power and implementing new regulations like social distancing and safety environment. Automation appears as a complement rather a replacement of workers.   

Sunday, 23 August 2020

Biohydrogen : An Alternative Renewable Energy Source - An Overview (#biochemistry)(#ipumusings)(#biofuels)

 Biohydrogen: An Alternative Renewable Energy Source - An Overview

Biohydroden : An Alternative Renewable Energy Source - An Overview (#biochemistry)(#ipumusings)(#biofuels)

Author: Pavitra Khurana

There are varied non-renewable sources of energy like coal, fossil fuel, nuclear, oil and fossil fuel product. More than eighty-fifth per cent of total energy desires of the world is consummated by these non-renewable energy sources. These non-renewable sources of energy are used extensively due to economic feasibleness of extraction, purification and transportation as compared to their alternate renewable, clean fuels. Not solely these sources are in restricted stock, however, their huge consumption is the major reason behind environmental issues, most ordinarily because of the emission of greenhouse gases and land & soil pollution caused by mining. Consistent with the reference of Encyclopedia of ecology, 2008 by L. Hens, L. X. Quynh, the coal reservoirs are sufficient till 2170 at 2004 production rates. However, if we have a tendency to think about oil and fossil fuel, their availableness is way additional restricted. they're calculable to last solely until 2041 and 2071, severally.

Thursday, 13 August 2020



Author: Vansh Sachdeva 


The modern advancements and development of technologies in the field of Semiconducting materials have played a major role in transferring the world's views and thoughts towards developing sustainable and renewable energy sources and also towards the Global Energy Crisis. This data accumulated paper emphasizes on the conversion of Chemical/Thermal, Solar, Nuclear, and Biogas fueled energies to direct Electric Energy by solid-state semiconducting devices. The heat energy from the exhausts of industries world-wide does not do any potential work and thus this energy is regarded as Waste Heat Energy. These renewable, environment-friendly, sustainable, and machine-free Electricity Generators/Heat Engines are capable to be used and integrated with Industries Heat Engines, Mufflers, Exhaust Engines, and Recovery of the Waste Heat into useful Electricity. The main emphasis of the paper is on Thermo Electric Generators (TEG), its applications and characteristics and ways to improve its efficiency so that this can be used on a large-scale. Also, Hydrogen generated from renewable sources like Biogas can play a vital role in future energy development. Solar Energy cells have been used in many places but what if the Solar Energy is utilized in another manner with TEG's and its efficiency is compared and analyzed. Surely, it will eliminate the use of batteries to store energy which again requires charging. This paper also contains various applications of TEG which can be used as an alternative for conventional methods and also a brief description of a model of a TEG driven Chem-Car made by me and my class fellows which works on the principle of Seebeck Effect i.e. more the temperature gradient across the Thermo Modules more will the voltage that is connected to an external motor that drives the car.

Sunday, 2 August 2020

INTRODUCTION TO ENVIRONMENTAL BIOTECHNOLOGY (#biotechnology)(#environment)(#ipumusings)


INTRODUCTION TO ENVIRONMENTAL BIOTECHNOLOGY (#biotechnology)(#environment)(#ipumusings)


What is Biotechnology?

As the name suggests biotechnology comprises two words i.e. Bio which means life and Technology which means the application of scientific knowledge for practical purposes, especially in industry. Together they form an ideal term Biotechnology which is any technological application that makes use of biological systems, living organisms, and its components to create products and other technological systems to advance the human condition. The term was coined in 1919 by a great Hungarian agricultural engineer Károly Ereky. He is also known as 'The Father of Biotechnology'.

What is Environmental Biotechnology?

Environmental biotechnology is an approach where the scientific and engineering knowledge is combined and applied with the involvement of microorganisms to avert contamination of the environment. It is achieved through biotreatment of solid, liquid, and gaseous wastes, bioremediation of polluted nature, and biomonitoring of environment and treatment procedures.[1]

Wednesday, 22 July 2020

The Modern Rules Of Food Biotechnology (#ipumusings)(#foodbiotechnology)(#biotechnology)(#biochemistry)

The Modern Rules Of Food Biotechnology

Learn about Food Biotechnology and Food Processing processes.

The Modern Rules Of Food Biotechnology (#ipumusings)(#foodbiotechnology)(#biotechnology)(#biochemistry)

Author: Manan Batra

Food biotechnology is a branch of science that deals with mutations in food products which have desired nutritional values, production and marketing properties.in short, food biotechnology is a combination of food science and genetics to have desired values in our final product.

Here, the desired values may be cheaper, long-lasting food, fungal resistant food, and moreover having the best nutritional values in it.

This branch of science is not new to the food industry, in fact, this technology has been in use from thousands of years benefiting humans. Food biotechnology plays a major role in the upbringing of the food industry. 

Wednesday, 15 July 2020

Enzyme Catalysis -A Brief Introduction (#ipumusings)(#biochemistry)(#enzymecatalysis)

Enzyme Catalysis -A Brief Introduction

Enzyme Catalysis -A Brief Introduction (#ipumusings)(#biochemistry)(#enzymcatalysis)

Author: Mankaran Singh

Many biological processes have a slow rate of reaction or might be going through a longer path in which they might consume more energy. So we have special biocatalysts, called enzymes. Enzymes are biomolecules of protein with high relative molecular mass generally derived from living organisms with their catalytic properties; they take these slow reaction processing in a way that the rate of the reaction alters as per the need of the process by lowering the activation energy. They ensure that the reaction processing is done in a compatible manner with life. The substrate or the reactants get bound to the enzyme's special sites and process them to new products by breaking the bonds between them. For example, yeast produces enzyme zymase which converts glucose to ethanol and releases carbon dioxide and energy as byproducts.