7 Important Advices For The New And Aspiring AI Engineers
From aspirants beginning at the bottom of the totem pole to professionals progressing to senior positions and to even those planning their own business — here are some selected timeless advice for whatever stage you may be as an AI engineer.
Before we get into those sage AI advices, a look at some latest statistics.
Hiring for AI specialists has grown by 74% annually in the past few years. — LinkedIn 2020 Emerging Jobs Report
According to the report more and, more businesses are moving toward automation, furthering an already rising demand for AI engineers. The trend will augment in the post-COVID-19 period.
Include these pieces of advice in your career plans and day to day artificial intelligence projects to become more meticulous and impactful.
Which Career is Better: A Data Scientist or an Artificial Intelligence Engineer
According to GlobeNewswire, the largest newswire distribution networks worldwide, the global artificial intelligence (AI) market is anticipated to grow from USD 20.67 billion in 2018 to USD 202.57 billion by 2026.
While the data science global market anticipates reaching more than USD 178 billion by 2025.
Both data science and AI have been touted to be remarkable careers in the tech industry.
Without wasting much time, let us delve deeper and talk more about data science and AI career.
A Look into Uber’s Futuristic Self-Driving Cars Technology
Earlier this year, Uber’s ATG (Advanced Technologies Group) and Data Visualization teams teamed up to improve the performance of self-driving vehicles. Uber isn’t the only one on a fast-sprint in this race to the future. But it has outdone its competitors by leaps and bounds. ARTiBA has tried to decode the secret to this success.
If COVID-19 couldn’t dim one zeal - It’s the zeal of AI. Artificial Intelligence is in the headlines back again. This time with greater fury and with a mission to change the world. AI is going to take the world places. Literally!
Latest AI-led Developments in COVID-19 Prevention & Management
A little after midnight of Dec 30, 2019: BlueDot, a Canadian AI start-up, raised an alarm about a disease outbreak in China. In the months that followed, authorities the world over paid heavily for neglecting this clarion call. When AI speaks, you must listen.
Wuhan - The onset of COVID-19 - Two healthcare workers under 30 years of age catch the coronavirus. One survives. Other succumbs.
In almost half-a-year of its existence, the coronavirus has equally baffled authorities and healthcare professionals. It is not just another flu. Even the last flu left us scrambling for a vaccine for almost 100 years.
Meet Silq- The First Intuitive High-Level Language for Quantum Computers
Sometime in the 1970s, the computing world hit its first major breakthrough - Dennis Ritchie and Ken Thompson at AT&T Bell Laboratories founded the Holy Grail of C programming. It took another 50 years for programmers to achieve a milestone of similar force - a language that brought a comparable level of simplicity and functions to quantum computing.
Introducing Silq - “A new high-level programming language for quantum computing with a strong static type system”- the first and only one of its kind!
Why Neuro-symbolic AI is the future of AI: Here’s how it works
You thought AI is intelligent? Well, it has a long road ahead.
Without a doubt, artificial intelligence is one of the most revolutionary technologies being developed. Though, as powerful as it is, there still are a lot of basic problems it is yet to become competent to solve.
David Cox, Director of MIT-IBM Watson AI lab says, “It’s time to reinvent artificial intelligence.” And, according to him, neuro-symbolic AI is the answer.
We take a quick look into what ails present AI, and how AI engineers can revolutionize the discipline with neuro-symbolic AI.
Say, an AI program is asked to “Look at the picture below and tell if there are an equal number of large things and metal spheres?
It will be impossible for a state-of-the-art AI neural network program to answer this simple question.
Top 3 Machine Learning and AI Certification You Should Not Miss in 2020
The development of AI is growing at lightning speed. According to LinkedIn’s Emerging Report 2020, AI experts stood as one of the fastest-growing job careers in AI. Industries and the new workforce need to adapt to the quick change and keep upskilling.
The report also mentions as the development of the internet, information technology, and computer software accelerates, so did the demand for AI professionals grew by 74 percent annually in the last five years.
Professionals with AI skills are bound to have countless job opportunities in the upcoming years. Not to mention, AI is expected to create about 2.3 million new jobs by the end of 2020, says Gartner.
Below is a list of the best AI certification programs you should not miss this year.
11 Must-Know Machine Learning Algorithms for AI Professionals
Machine learning algorithms turn a data set into a model. Depending on the nature of learning ‘signal’ available to the system, the algorithms are broadly classified into three types – Supervised, unsupervised, and semi-supervised learning.
Further, there are dozens of ML algorithms as per the complexity of the problem it solves. Choosing the appropriate machine learning algorithms is critical to developing an AI or machine learning project. Here is a short infographic that narrates on 11 machine learning algorithms, AI professionals need to know.
Students Vs Professionals Amid COVID-19: Survive (or) Thrive in the AI Career
From a bustling lifestyle to lockdown, from lay-offs to furloughs, COVID-19 has ransacked the lives of many working professionals.
Right now, we’re all working toward managing a better future in multiple ways. Our lifestyle has changed, our leaning has changed, and even the way we work has changed. Who would have thought about the spread of coronavirus today, we were all just living normal lives? Until the pandemic!
Every person who is looking to thrive on this planet will need new skillsets to be successful in the near future. This near-future could be a month from now, a year or perhaps a decade. This is crucial for students (the professors or mentors teaching them) as well as professionals with the records by the WEF (World Economic Forum) stating two-thirds of the students today will be efficient for jobs that do not exist yet. Not to mention, LinkedIn ranked AI and cloud computing to be emerging jobs in 2020.