Author Archives: Ajitesh Kumar
List of Hyperledger Tools & Frameworks for Blockchain Apps
This article represents a list of Hyperledger tools and frameworks for building Blockchain applications and when to use each one of them. Hyperledger Frameworks The following is the list of frameworks that can be used to create blockchain applications based on distributed ledger technology. Hyperledger Fabric Hyperledger Fabric is a blockchain framework implementation. It is one of the foundation framework for developing / building Blockchain applications or solutions with a modular architecture. The most striking feature of Hyperledger Fabric is that it allows components, such as consensus and membership services, to be plug-and-play. At the core of Hyperledger Fabric is container technology which is used to host smart contracts called chaincode that comprise the application logic of the system. The following is the list of cool features of …
15+ Blockchain Jobs Designations for Your Next Blockchain Hire
Given that Blockchain has gone mainstream, companies are now hiring blockchain developers at all levels such as following: Blockchain Development Software Engineer Senior Software Engineer Principal Software Engineer Staff Software Engineer Infrastructure Engineer Visual Designer Blockchain Technology Leadership Solution Architect, Application Architect, Lead Architect, Consultant Technology Lead Blockchain Project/Program Management Project Lead Program Manager Practice Head Business Development Business development (VP) Blockchain Job Designations from Indeed.com Below are some of the designations in relation to Blockchain application development whose jobs can be found on Indeed.com. Blockchain Developer: Other designations similar to this one are following: Blockchain Software Engineer Blockchain Engineer Blockchain Platform Developer Full-stack Developer (Blockchain) IT Blockchain Engineer Blockchain Developer …
Quantum Computing and Syllabus Topics for Learning
The following represents key elements of Quantum computing which needs to be emphasized during learning stages: Understanding of Bits and Qubits Fundamentals of Linear Algebra Quantum mechanics principles Quantum computation models Quantum Factoring Complexity theory Search algorithms Quantum computing applications These topics can form part of syllabus if you are planning to design a course on Quantum computing. Understanding Qubits vs Bits Coming from a traditional classical computing background, it would be important to understand some of the following: What are Qubits? How does Qubit relates to Bits? Introduction to Superposition and Entanglement concepts Qubits examples Linear Algebra Fundamentals Given the state space of a quantum system is described in …
Top 5 Java Rule Engine for 2017-2018
This is a list of top 5 rules engine which can be used in your Java application. Out of below 5 frameworks, Drools is the most popular one. Popularity Rule Engine Summary 1 Drools A Business Rules Management System (BRMS) solution which provides a core business rules engine (BRE), a web authoring and rules management application (Drools Workbench) and an Eclipse IDE plugin for core development 2 OpenRules A general purpose business rules and decision management system 3 EasyRules EasyRules provides the Rule abstraction to create rules with conditions and actions, and the RulesEngine API that runs through a set of rules to evaluate conditions and execute actions. 4 JLisa A Clips-like Rule engine accessible from …
Container Design Patterns for Kubernetes Pods Design
Here is a list of container design patterns which can be used to create useful grouping of containers (atomic unit) such as Kubernetes pods: Sidecar pattern Ambassador pattern Adapter pattern These patterns advocates usage of additional containers to complement the primary / main container and have these containers form an atomic unit. The usage of additional containers as recommended by design patterns are based on some of the following design guidelines: Separation of concerns Containers’ reusability (Cohesive containers); Recall Uncle Bob’s (Robert Martin) single responsibility principle (SOLID) when working with object-oriented programming These patterns results in creation of atomic unit of containers with a set of containers acting as core …
Kubernetes Interview Questions and Answers – Set 3
This page represents practice test consisting of objective questions and answers on Kubernetes. The following topics are covered as part of this practice test / quiz: Container hooks and related lifecycle Pods The practice test can prove to be very helpful if you are preparing to take Certified Kubernetes Administrator (CKA) certification examination in near future. It covers the Core Concepts from CKA certification exam syllabus. Those preparing for interviews in relation with Kubernetes or cloud-native apps would find these questions to be useful enough. These questions can prove to be useful for interns / freshers / beginners. Revision Notes – Kubernetes Concepts (Container Hooks / Pods) Kubernetes provides containers with following lifecycle hooks: PostStart PreStop Kubernetes supports implementation …
How to Build Liv.ai like Speech-to-text Conversion Platform
This article explores the technology landscape which can be used to build similar platform / service offerings like Liv.ai. First and foremost, congratulations to Liv.ai team for leveraging existing cloud-based AI and speech recognition (Speech-to-text conversion) technologies to come up with a set of business offerings which leverages speech-to-text conversion technology to create great value for businesses. The founding team (IIT KGP Alumni – Subodh Kumar, Sanjeev Kumar and Kishore Mundra) nailed it! Doing right thing at right time at right place. Liv.ai enables developers to convert speech-to-text by using Powerful Neural Network Models with exceptional accuracy and minimal latency. At this point, the platform supports 9 languages including Hindi, English, Bengali, Gujarati, Telugu, Tamil, Marathi, …
CareNGrow powers Preventive Healthcare Platform with AI & Cloud-Computing
CareNGrow is building a preventive healthcare platform based on AI and cloud-computing technologies. One of the goals is creating and monitoring the physical, psychological, and behavioural health profile of children in schools. The following represents key workflow steps which is implemented while examining a kid / child: Data gathering Transfer data over internet to cloud Feed the data into the analytics platform Perform the data analysis (Predictive Analytics) Generate health reports This is a brainchild of a young doctor, Dr. Meghana Kambham. CareNGrow is already making waves in different startup competitions owing to the work they have been doing. In this relation, they have been announced as one of the UberExchange winners. Check …
Spring Framework Interview Questions & Answers – Set 1
This is a practice test / interview questions and answers for Java Developers working on Spring Framework. These questions can be used to check your knowledge on Spring framework fundamentals. They could be useful and helpful in preparing you for upcoming interview in relation with Spring framework. The following are some of the topics in relation with Spring Framework Fundamentals which are covered in this practice test: Spring IOC concepts Configuration metadata Beans packages for IOC container Beans instantiation Different types of DI techniques (Constructor-based, Setter-based DI) Beans initialization (Eager / lazy initialization) Method injection techniques (lookup method, arbitrary method injection) Bean Scopes (Singleton, Prototype, Request, Session, Application, WebSocket) Practice Test on Spring Framework Fundamentals [wp_quiz id=”6035″]
Proscia uses AI-powered Digital Pathology for Cancer Screening
Proscia, a cloud-based digital pathology provider is on a mission to bring computer intelligence (using artificial intelligence (AI)) to pathology, fighting cancer by unlocking the data hidden in tissue. The following are some of the key aspects of cloud-based digital pathology technology of Proscia: Telepathology Data management Pathology Cloud Web application for managing/sharing slides’ images Image analysis (AI) The details in relation to Proscia technology can be found on this page, Proscia Platform. Proscia Technology – Telepathology One of the key aspects of the Proscia platform is data gathering (slides’ images) from different diagnostic sources. In order to achieve this, Proscia platform supports following: Supports different slide scanning hardware devices to scan the slides and create related …
Kubernetes – Interview Questions and Answers on Pods
This page represents practice test consisting of objective questions and answers on Kubernetes. The practice test can prove to be very helpful if you are preparing to take Certified Kubernetes Administrator (CKA) certification examination in near future. It covers the Core Concepts from CKA certification exam syllabus. Those preparing for interviews in relation with Kubernetes or cloud-native apps would find these questions to be useful enough. These questions can prove to be useful for interns / freshers / beginners. These questions are related with some of the following topics: Kubernetes Pods New feature release in Kubernetes 1.8 such as taints and tolerations The following is link to other practice tests: Practice test on introduction to Kubernetes Practice …
Niramai uses AI / Thermal Imaging for Breast Cancer Screening
Niramai Health Analytix, a Bengaluru-based startup is creating an AI-powered software system for breast cancer screening. Niramai is using following technologies to achieve the objective of breast cancer screening: Thermal image processing using thermal sensing device (thermal camera) Machine learning algorithm Hardware devices integrated with real-time cloud-based diagnostics; These hardware devices are capable of capturing thermal images What/How of Thermal Image Processing? Thermal image processing, also termed as thermal imaging, is a method of improving visibility of objects in a dark environment by detecting the objects’ infrared radiation and creating an image based on that information. source: techtarget. The key to capturing thermal images of an object is a heat sensor (also called as thermal camera) which is …
AIndra uses AI to Solve Cervical Carcinoma Cancer
AIndra, a Bengaluru-based startup is into the business of building innovative products and technologies to aid computational pathology. Established in 2014, AIndra’s vision is to build state of the art medical devices for screening Cervical Carcinoma. This article is created solely based on my analysis of information found on AIndra’s website. The objective is to make readers aware of some of the following technologies AIndra is using and, how they can be used to solve healthcare problems, in general. The goal is provide food for thought to the readers such that they can use some of these technologies in their future startups. Computation Pathology Telepathology If you work in AIndra, please feel …
15+ AI Startups for Cancer Prediction / Treatment
This is a list of 15+ startups using artificial intelligence (AI) technologies for cancer/oncology prediction / treatment. Please feel free to suggest if any piece of information given below is incorrect or incomplete. This page will be updated from time-to-time. Startup Name Field of Interest Startup Brief OuroTech Cancer treatment Help doctors identify in advance which drugs are most likely to have the biggest impact killing a type of cancer. Doctor Hazel Skin Cancer Helps predict whether you are having from Skin cancer Color Genomics Genetic testing Focus on testing for mutations leading to a higher risk of certain cancers. Mendel.ai Clinical trials AI to match cancer patients with the latest clinical trials Grail Cancer …
Tutorials – Building Machine Learning Models for Predicting Cancer
In this article, I would introduce different aspects of the building machine learning models to predict whether a person is suffering from malignant or benign cancer while emphasizing on how machine learning can be used (predictive analysis) to predict cancer disease, say, Mesothelioma Cancer. The approach such as below can as well be applied to any other diseases including different types of cancers. Predicting Mesothelioma Cancer – Supervised Learning Problem Machine learning problems are classified into different kinds of learning problem. Most important of them are following: Supervised learning Unsupervised learning Supervised Learning In supervised learning, you have a history of data with each record being labeled. Thus, in case of predictive analysis of Mesothelioma cancer, there is …
Neural Networks Interview Questions – Set 2
This quiz represents practice test on artificial neural networks. These questions and answers can be as well used for your upcoming interviews for the position of machine learning engineer or data scientist. These questions can prove to be very useful for testing your neural networks knowledge from time-to-time. Also, these will be useful for interns / freshers / beginners of machine learning / data science. The topics covered in this practice test are following: Introduction to different types of neural networks such as Radial Basis Network, Recurrent neural network etc. Difference between multilayer perceptron (MLP) and Radial basis function network Practice Test on Neural Networks [wp_quiz id=”6000″]
I found it very helpful. However the differences are not too understandable for me