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Developer jobs: Demand for programming language Python falls amid pandemic

ZDNet

There have been significantly fewer interviews available for Python developers and front-end engineers since March 1 during the coronavirus pandemic, according to online developer hiring platform HackerRank. The numbers aren't positive for highly educated data scientists who have, over the past few years, helped make Python one of the most popular programming languages in the world, along with JavaScript and Java. Although data-science candidates have been in hot demand thanks to more organizations adopting machine learning and artificial intelligence, since March 1, interviews for Python developers have declined by 27%, according to HackerRank. Interviews for front-end engineers have also declined by 34% while interviews for full-stack engineers have fallen by 5%. HackerRank's data is based on online job interviews with around 35,000 developers since March 1, 2020.


Guide To Understanding Artificial Intelligence - ReadWrite

#artificialintelligence

Getting started with Artificial Intelligence can lead to numerous questions and confusion, given the speed the world is changing and adopting this technology. There are plenty of resources available online but there has to be a start point. In this article, there is a brief introduction of Artificial Intelligence covering all its important aspects which one must go through to get a clear picture of this emerging technology. Artificial Intelligence has made commendable progress and is developing at a lightning-fast speed covering every industry of a market. AI has become a necessity rather than an extra activity to know about this technology and its evolving faces.


Top 12 Most Used Tools By Developers In 2020

#artificialintelligence

Frameworks and libraries can be said as the fundamental building blocks when developers build software or applications. These tools help in opting out the repetitive tasks as well as reduce the amount of code that the developers need to write for a particular software. Recently, the Stack Overflow Developer Survey 2020 surveyed nearly 65,000 developers, where they voted their go-to tools and libraries. Here, we list down the top 12 frameworks and libraries from the survey that are most used by developers around the globe in 2020. About: Originally developed by researchers of Google Brain team, TensorFlow is an end-to-end open-source platform for machine learning.


Guide To Understanding Artificial Intelligence - ReadWrite

#artificialintelligence

Getting started with Artificial Intelligence can lead to numerous questions and confusion, given the speed the world is changing and adopting this technology. There are plenty of resources available online but there has to be a start point. In this article, there is a brief introduction of Artificial Intelligence covering all its important aspects which one must go through to get a clear picture of this emerging technology. Artificial Intelligence has made commendable progress and is developing at a lightning-fast speed covering every industry of a market. AI has become a necessity rather than an extra activity to know about this technology and its evolving faces. Artificial Intelligence can be understood as a simulation of human intelligence.


A beginner's guide to AI: The difference between video game AI and real AI

#artificialintelligence

This multi-part feature should provide you with a very basic understanding of what AI is, what it can do, and how it works. The guide contains articles on (in order published) neural networks, computer vision, natural language processing, algorithms, and artificial general intelligence. Among the most common misconceptions surrounding machine learning technology is the idea that video games dating back to the 1970s and 1980s had built-in "artificial intelligence" capable of interacting with a human user. If you're curious but in a hurry, video game "AI," in the traditional sense, is not what people refer to in the modern era when they're talking about artificial intelligence. The "bots" in an online multiplayer game, the enemies in a first-person-shooter, and the CPU-controlled characters in old-school Nintendo games are not examples of artificial intelligence, they're just clever programming tricks.


Python-powered machine-learning tool drives robot farming project

ZDNet

New AI-powered farming machines trained on the PyTorch framework are being developed to help farmers produce more food with fewer resources. Blue River Technology is using the PyTorch machine-learning framework to train robotic crop sprayers to identify and map weeds as they move through a field. Using a high-resolution camera array, the system instructs the machines exactly where to spray herbicide, killing weeds while leaving precious crops unharmed. Artificial intelligence in the real world: What can it actually do? What are the limits of AI?


Python-powered machine-learning tool drives robot farming project

#artificialintelligence

New AI-powered farming machines trained on the PyTorch framework are being developed to help farmers produce more food with fewer resources. Blue River Technology is using the PyTorch machine-learning framework to train robotic crop sprayers to identify and map weeds as they move through a field. Using a high-resolution camera array, the system instructs the machines exactly where to spray herbicide, killing weeds while leaving precious crops unharmed. Artificial intelligence in the real world: What can it actually do? What are the limits of AI?


Explainable AI (XAI): Escaping the Black Box of AI and Machine Learning

#artificialintelligence

Artificial Intelligence (AI) made leapfrogs of development and saw broader adoption across industry verticals when it introduced machine learning (ML). ML helps in learning the behavior of an entity using patterns detection and interpretation methods. However, despite its unlimited potential, the conundrum lies in how machine learning algorithms arrive at a decision in the first place. Questions like, "What are the processes they adopted, and at what speed? How did they make such autonomous decision?"


Artificial Intelligence And Data Privacy – Turning A Risk Into A Benefit

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One of the most important reasons business, especially consumer facing business, wants to have lots of data is to know as much about the market, us, as possible. Artificial intelligence (AI) has made that focus on customers more and more accurate. While business has been becoming more invasive, governments have begun to look at and pass regulations that begin to provide certain limits. Privacy matters to the electorate, and smart business looks at how to use data to find out information while remaining in compliance with regulatory rules. Almost ten years ago, Target created an algorithm that figured out if people were pregnant based on purchase patterns, and the company then sent coupons to the addresses of those customers.


The role of self-driving vehicles in transforming agriculture

#artificialintelligence

In the near future, autonomous vehicles and artificial intelligence (AI) will play a larger role in how your food is grown. Farming is as old as civilization itself, but with industrialization, modern agriculture grew in scale and sophistication to degrees never seen before in history, especially during the Green Revolution of the 1950s-60s. The sector may be poised to go through another comparable evolutionary step with machines doing important jobs in the fields. The United Nations projects the global population will increase to 9.73 billion people by 2050. While 60 percent of the global population lived in rural areas 35 years ago, about 54 percent now live in urban ones.