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5 Machine Learning Trends Will Train the IoT MarketAeroAstro Engineering

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The ever-growing world of Information and Technology will soon experience new changes as IoT and machine learning is evolving rapidly. Here we have five of the most dominant machine learning trends that is set to change the IoT Market.

Mobile Machine Learning

The highly compressed machine learning chips will be probably the biggest trend that will affect the presence of IoT. These chips with neural network capabilities will not be as powerful as their cloud-based counterparts, still they will be capable of machine learning tasks.

Automated Data Science

The technology will automate tasks such as scribbling data, removing trivial errors, and deleting junk data which are carried out regularly and are also prone to errors. Such as advent, hence will make this process smooth.

Synthetic Data

Researchers who works on IoT and machine learning algorithms might need a certain amount of data to carry out experiments. In such cases, instead of creating their own data, these professionals can use already existing relevant data. Probably knows as the synthetic data, this collection can be immediately linked to a machine learning algorithm to carry out experimentation.

Machine Learning Hardware

Engineers have now developed some new machine learning hardware that can efficiently and quickly crunch numbers located on the cloud. These tools made the process more quick and affordable.

The Machine Learning’s Black Box Limitation

Machine learning algorithms are generally not programmed, but get evolved as experiment takes place to collect and process data to generate useful information. This can be a hurdle for those who try to deploy machine learning in medical devices. Researcher says they are still making efforts in this direction.

Five successful women Engineers

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8th of March marks the International Woman’s Day to celebrate the woman who has achieved great heights all over the world. Here we have five successful woman engineers that made the country proud.

 

Priya Balasubramaniam, Vice President of iPhone operations, Apple

Serving as the Vice President of iPhone operations, Priya Balasubramaniam started her journey with Apple since the year 2001. The lady then made great success in the International supply chain team. She has played a prominent role to expand Apple product manufacturing.

 

 

Nandini Ramani, Vice President of Engineering, Twitter

Nandini Ramani plays a significant role as the Vice President of Engineering in the organization. She is also a major contributor to Twitter’s product strategy to promote the marketing activities, particularly, in India.

 

Anjali Joshi, Vice President of Product Management, Google

Anjali Joshi has been working with Google for ten years. She is well known for her versatility and her capability to handle any situation in the organization. She also has worked for Google’s cloud, and infrastructure along with news and finance departments.

 

Komal Mangtani, Head of Data Intelligence, Uber

Komal, before joining Uber has been working as the head of engineering at Box. At present, the lady is working as the head of engineering at Uber. Her team works to help Uber explore more market opportunities and analyze the overall business performance.

 

 

 

Aparna Ramani, Director of Engineering, Facebook

Aparna Ramani is currently working with Facebook as the Director of Engineering. She leads a team of professionals that deals with and processes real-time data and analysis. The team is a significant player in technology for Facebook’s Newsfeed.

What’s new in Ansys 19?

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ANSYS 19 is also known as the Next Generation Pervasive Engineering Simulation technology. With the expanding digital world and growing data, companies are struggling with the pressure to improve performance to deliver high-quality products within a limited time. ANSYS 19, is designed to empower such engineers and professionals to contribute to the overall productivity. The enhanced capabilities of the technology aim to produce accurate results. Here are some of the many features that will support Pervasive Engineering Simulation.

3D Design

ANSYS 19 now introduced the new 3D design family of products.

  • The package includes a real-time simulation environment that is developed to help engineers explore their designs and concepts.
  • The CAD modeling capabilities of the ANSYS Discovery SpaceClaim now have new assembly configurations.
  • Some of its supporting exploded views help engineers generate more efficient designs.

The technology helps to build upon topology optimization so that users can observe live progression to solve steps and make informed decisions.

Embedded Software

ANSYS 19 now has powerful capabilities to carry out tasks. These tasks include:

  • Workflow integration
  • Performance and usability
  • A fully certified embedded software with a Human-Machine Interface (HMI) and
  • Design capabilities

The technology is also supported by some dedicated solutions for automotive and avionics system and software. Added features here included capabilities for multi-rate application designs and enhanced HMI design capabilities that comply with ARINC 661 and that qualify for ISO 26262 and DO- 178C.

Electromagnetics

With the new technology, engineers can now design wireless, electrification and autonomous technology. The improved features of the technology include radar cross section analysis innovative electronic machine design, integrated electro-thermal analysis, and also a design kit to offer enhanced user experience with all the electromagnetic field simulation tools.

Semiconductors

To meet the growing demands of the next generation computing capabilities, which is not only automotive, but also is mobile, and delivers high performance computing through the advanced system. The technology thus demands products that are bigger, faster, and more complex. The simulation environment offered by ANSYS 19 delivers a platform that is more comprehensive, enabled for Big Data and capable of solving different design attributes such as thermal properties, power noise, performance and reliability across the spectrum accelerating your product success.

Systems

ANSYS 19 offers some of the most powerful capabilities in two crucial work areas:

  • System simulation for battery management design and deployment
  • Functional safety and analysis to use across all safety-critical industries

ANSYS 19 now has some enhanced features to help engineers easily model the complete design of a battery management system. Another add-on, ANSYS Simplorer helps the engineers to simulate and test the entire system after design and development. ANSYS 19 expands the functional safety analysis across all industries.

What Are The Civil Engineering Interview Questions?

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Interviews are something which makes everyone fearful because of the uncertain events. And when we talk about civil engineering this fear increases exponentially. However, in reality, interviews are the most comfortable part of the recruitment process. You just need to focus on some preliminary questions and you are done. So, to help civil engineers with their interviews we have listed below some of the most common interview questions, have a look.

  • Most Common Civil Engineering Interview Questions
  • What is OSHA compliance?
  • What is the composition of a landfill?
  • What is reinforced concrete?
  • What are the different types of foundation?
  • What is flashing?
  • What is Critical Path Method (C.P.M)?
  • Explain what zoning permit is?
  • Mention different types of roof systems?
  • What are demising walls?
  • Explain what does 1/8 on the architect ruler denotes?
  • What are wooden shingles?
  • Explain what are the problems one might face while having a Cantilever balcony?
  • What is the ideal size of the living room ranges from small to a large scale?

These classic questions mentioned above will surely help you to nail your civil engineering interview. So, gear up your skillset and get ready for the interview. Good Luck!

Drones learn to navigate by imitating Cars and Bicycles Autonomously

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The commercial drones these days make use of the Global Positioning System (GPS) to traverse. Such a method works fine when the drones fly at a high altitude. But the real hurdle arises when these drones navigate autonomously at a lower altitude. At such low altitudes, there are several issues such as

  • More density of building
  • Unstructured stress with the movement of several vehicles and humans.

The drones at this level have not reached to such a stage where they can react to an unforeseen event quickly. There are ways to enhance the functionalities of these drones.

Integration of autonomous navigation in drones

The development of DroNet by researchers at the National Centre of Competence in Research (NCCR) Robotics and the University of Zurich shows that autonomous navigation of drone is possible. It is an algorithm that helps the drones to fly through the busy streets of a city safely. With the help of one input image, it produces two outputs:

  • A steering angle and
  • A collision probability

The former helps the drone to avoid accidents, while the later helps it to identify the dangerous situations and react to them.

Powerful artificial intelligence algorithm

A team of Swiss researchers sought the help of a powerful algorithm and a normal smartphone camera to make the drones smarter. The combination helped the drone interpret the real-time situation and react accordingly. The algorithm used, consisted of Deep Neural Network.

Teaching the Drones through Cars and Bicycles

The collection of training examples is one of the biggest issues in Deep Learning. The drones can learn by imitating the driving behavior in the examples. Thus, Prof. Scaramuzza, along with his team collected the data from cars and bicycles driving in urban areas.

Fully autonomous drones – The Future

Through this research, the doors are open to several applications such as parcel delivery, surveillance and much more. The drones can drive within the clustered roads, with ease and save a lot of time. However, the team cautions from expecting too much from cheap drones.