Because we all feel better when we can drop the façade for a bit.
Have you ever got something by doing nothing?
Most of us believe that the harder we work the more we receive. What do we receive? More money, security, social status. What about happiness?
In my life, I spent a lot of time achieving more by doing even more. One university degree was not enough, I got several of them and later a Ph.D. Speaking one language was not enough, I learned many additional ones. Working full-time was not enough, I founded my own startup.
Doing more became a never-ending story. Several years ago I decided to take a new job…
How people are already “cyborgs” feeding AI.
AI as Augmentative Intelligence utilizing machine learning, algorithms, and rich data to augment the capabilities of humans and businesses could be soon an illusion.
The accelerating rate of technological change makes it likely that people will have both the technological resources and scientific knowledge to create Artificial General Intelligence.
“Success in creating effective AI could be the biggest event in the history of our civilization. Or the worst. We just don’t know. So, we cannot know if we will be infinitely helped by AI, or ignored by it and side-lined, or conceivably destroyed by it.” …
How social network based on voice is written in our genes.
Your earliest memory from childhood probably never happened, unless there is a story about it.
Recently, we all heard about Clubhouse, an incredibly successful new type of social network based on voice — where people around the world come together to talk, listen and learn from each other in real-time. You can jump in and out of different chats, on various subjects, any time. You can simply listen or choose to throw in your thoughts and emotions.
I realized that Clubhouse’s success is rooted in one experience I made during my childhood.
When I was a little kid, my parents…
Keep your secret safe. No computer needed.
This article introduces a secret or disguised way of writing, simple enough to memorize or carry out with pen and paper.
The strongest versions of the over-popular AES encryption used everywhere on the internet may be decipherable by quantum computers a few years from now.
Is there a secure cipher that is simple enough to be performed mentally, without any computer?
Recently, by using quantum computers, a Swiss-based company believes it has found a security weakness that could jeopardize the confidentiality of the world’s internet data, banking transactions, and emails.
This is a fundamental reason why technology companies including Google…
Upgrade your understanding of artificial intelligence.
Why does deep learning work? In the beginning, was the neuron.
Much has been written about how deep learning works. Little is written about why it actually works. I suggest an atomic approach to grasp the intuition behind deep learning models.
Get to know the atom in Deep Learning: the artificial neuron.
Deep Learning models are used by Google, Facebook, Amazon, Microsoft, and Apple to solve hard problems, such as predicting the end of the Covid-19 pandemic.
It is an artificially intelligent method used not only for predicting the future but also for understanding the present, making inferences, and classifying…
Why no one can read it all.
Feeling lost reading too much news? How AI can summarize 12'000 tweets from Past President Donald J. Trump using only 144 sentences.
An important matter can take just a few words to say.
Nowadays it seems that stories in magazines, newspapers, or online publications always have a lot more to say, than just a few words.
Researchers believe that people are inundated with an equivalent amount of 100 000 words every day during awake hours.
This is why — during busy days if you get someone to give you a good summary of the news, I believe that you will…
Grandma's secret about persuasion by listening.
If I tell you that public speaking is also about mastering silence, who would agree? I’m pumped for witnessing a grandma staying silent and yet influencing her audience. How?
Speak only if you do care.
The grandma told me that speaking requires two people to hold the same rope. Then all that you do is to let your words flow through the rope.
First, you need the rope. This is caring.
Each time I care about my audience, I am building a connection, what the grandma calls a rope.
The grandma holds that rope strongly in her hand, all the time. This motivates the other person…
The answer lies in your old writing. Insights into Topic Modeling.
“What will I write about next?” — this question inevitably resonates in each writer's mind.
I believe that another more insightful question, is “What did I write about previously?” Throughout this article, we will explore how to extract topics from posts using tools from Artificial Intelligence.
Can you write without a topic?
At times of great inspiration, words just flow through our keyboard. Proficient writers can produce several posts in a very short time.
As a writer, you might once have experienced the feeling of being unstoppable, capable of generating one piece of writing after another.
After taking a break from writing, I asked myself a…
Machine Learning
A simple mathematical intuition behind one of the commonly used optimization algorithms in Machine Learning.
Binary classification is very common in machine learning. It is a good example of getting into the dark world of gradient descent and back-propagation.
Gradient descent in logistic regression
We recall that in a neural network for binary classification, the input goes through an affine transformation, and the result is fed into a sigmoid activation. The output is therefore a value between 0 or 1, the likelihood of predicting positive or negative class.
Below we see the expression of this classification output P(Y=1). Note that the affine transformation on the predictor X depends on two parameters β0 and β1.
A Python Tutorial on Fairness in Machine Learning.
A high-level goal of many AI projects is to address the ethical implications of algorithms along the lines of fairness and discrimination.
Why would we care about fairness?
It is a known fact that algorithms can facilitate illegal discrimination.
For example, it may not surprise that each investor wants to put more capital in loans with a high return of investment and low risk.
A modern idea is to use a machine learning model to decide, based on the sliver of known information about the outcome of past loans, which future loan requests give the largest chance of the borrower fully paying it back while achieving…
Michel Kana, Ph.D
Fellow Top Medium Writer. Fellow of Harvard University. Certified Learner. I help curious minds become AI practitioner.
