Especially since sci-fi fans became enthralled with the ominous twist in Kubrick’s classic “2001: A Space Odyssey,” the rise of AI in our current technological environment elicits many concerns about one day succumbing to computer overlords. I believe these fears are legitimate, as they are being studied seriously. My take is that this fear should be leveraged to guide research toward how to make sure it doesn’t happen.
However, the reality of today’s practical implementations of artificial intelligence focus on how machine learning techniques and predictive data analytics can *enhance* and *augment* the workflows and processes performed by humans. The intension is not to replace, but to help people work more productively, with more accuracy, or get to the “next level” of the type of work they perform.
What I find particularly interesting is how humans can collaborate with AI to expand our creativity and innovate in ways that we may not have been able to conceive without the shared insights or capabilities enabled through machine learning not otherwise possible for the human brain.
And, this is why today’s artificial intelligence applications must still be collaborative — the human brain can still perform certain tasks impossible for AI and AI can now perform certain other tasks that are impossible for the human brain. So, my expectation is that we will see the merging of AI and Humans long before we see AI overlords squash the human species into servants of digital fiefdoms. Then, as we instead become one with AI, we would experience a sort of evolution of our species that will preclude the possibility of becoming the slave.
The world has been toying with remote learning for nearly three centuries. Correspondence courses began in the 1720s, a “Correspondence University” started in Ithaca, NY in 1883, and the first computer-based training program emerged in 1960 (learn more).
Most recently, we’ve had many great services appear, such as Khan Academy, that enable people of all ages to absorb knowledge and experience interactive learning through our (beloved) connection to the Internet.
What is special about the best remote learning resources of yesteryear and today is that they are not autonomous. They are teacher-driven and curated by experts. The role of the teacher in our societies has never been more crucial and should not be considered diminished in any way with the availability of online tools that are simply another way to deliver education.
With the exponential spread of SARS-CoV-2 beginning on November 17, 2019, many people around the world shifted to living in isolation as much as possible. Welcome to the new normal of social distancing. While we expect this behavior to be temporary, what is so interesting from the perspective of e-learning, is that many teachers and students from traditional classrooms figured out how to do it quickly—literally over the weekend.
Now, with my kids and even my Cub Scout Pack interacting exclusively online with friends, teachers, and leaders, we are doing our level best to make sure they will thrive in this modern educational environment. Who knows—maybe our school districts and teachers will take a liking to the potentials for new learning efficiencies and reduced costs and shift more of our formal education to this type of online collaborative effort.
Years ago, here on Dynamic Patterns Research, I began curating a range of online learning resources for informal science education and doing citizen science. These links and commentaries are covered in quite a bit of digital dust, so I’m now refreshing the resources to support my family’s learning experiences and anyone else who is interested.
The updated STEM edu section will be a work in progress for the coming weeks, so to get started, check out the new live cams to help you discover more of your natural world from your new quarantined existence.
We’ve seen many predictions for what new advances are expected in the field of AI and machine learning. These predictions tend to be hunches or best guesses from practitioners in the field.
Check out my latest article published for KDnuggets where I review a “data set” based on what researchers were apparently studying at the turn of the decade to take a fresh glimpse into what might come to pass in 2020.
Artificial Intelligence continues to fill the media headlines while scientists and engineers rapidly expand its capabilities and applications. With such explosive growth in the field, there is a great deal to learn. With these 10 free books, you can dive into some must-reads to support your AI study and work.
Check out my recent article published for KDnuggets that highlights important resources—all available for free— that can provide a strong foundation for the field of AI. My review includes summaries of each book along with the backgrounds of the authors.
If you are interested in learning more about machine learning and AI as a student, researcher, citizen scientist, or corporate executive, then start right here and keep up to date with the latest advancements in the field.
Are you interested in getting a taste of what this hype on Artificial Intelligence and Deep Learning that you hear in the media is all about? With hundreds of new scientific publications coming out every month, it’s tricky to stay on top of the advancements.
One way is to follow some of the top influencers and leaders in the field so that you can always have a glimpse of what is coming next through their social media lenses.
My latest article now available on KDnuggets is a current top list for deep learning researchers and industry leaders who you should follow to stay current with this wildly expanding field in Artificial Intelligence.
It’s exciting to see such a diverse group of individuals from early practitioners and established academics to entrepreneurs and today’s top corporate influencers who are leading the way into tomorrow’s deep learning landscape.
So, who should you follow? Check out my list featuring some of the most important people in the field — who also happen to like to tweet… a lot.
Listening to podcasts during your daily commute or while taking a break from the bustle of your day is an efficient and effective way to stay current on the field of data science and make sure you are always learning more.
Check out my recent article published for the KDnuggets Top 10 list that highlights the most active and popular podcasts so far in 2019 that feature data science and machine learning conversations.
I reviewed many more podcasts, so this list drills down to only those published on iTunes with the highest ratings (4.5+), the most reviews, and at least one recent episode within the current month.