Summary of “10 Incredible Websites That Teach Business Leadership Skills for Free”

This year, more universities have started offering massive open online courses for free.
University System of Georgia’s Six Sigma Online CoursesSix Sigma has been a popular course of study across online educational providers as it equips business professionals with a set of efficient management techniques to transform them into unicorn business leaders.
EDXLike Coursera, EDX has partnered with both universities and non-academic institutions to provide you with self-paced courses that target business areas you might want to dive into.
Courses include “Entrepreneurship in Emerging Economies” and “ContractsX2017.” Taking a certificate course from Harvard University? Not a bad way to start your workweek.
Courses include communication for managers, organizational behavior, and business ethics.
Canvas’s free online courses include topics such as quantitative academic finance, project management process, applied investing, and global human capital trends.
Kutztown University of PennsylvaniaFor more focus on startups and small-business management, Kutztown University of Pennsylvania offers a selection of courses ranging from management development, market insight and research to strategic planning and execution.
The site also offers insightful reviews from learners who have gone through the courses offered to help you choose the best online course for your business needs.

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Summary of “Responsibility: Not Apologizing When You Succeed Or Complaining When You Fail”

You absolutely can and should own how you’ve been living and own what you’re learning.
Don’t Complain For FailureLessons are repeated until they are learned.
Learning always involves new understandings and new behaviors, ‘thinking’ and ‘doing.
‘”If your behavior isn’t changing, then you’re not learning.
True learning means you can produce a desired outcome.
If you can’t consistently produce the outcome you want, then you haven’t learned.
You won’t be learning from your experience, and thus you’ll continue moving into your future by recreating your past.
Rather than complaining for failures - or blaming the bad weather or something else - you learn from what is happening and adapt.

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Summary of “Agile learning: how to build a brain like a gymnast”

Learning agility is swift, continuous learning from experience.
Agile learners take knowledge from one concept and apply it to another.
Learning smarter, learning faster, learning wider - and forgetting the rest.
Make learning deliberateThere are many ways to learn.
Learn to learnStudies show that agile learners are made, not born.
Learn from someonePeople think of learning as a solitary process.
It’s a widely-held assumption that spreading yourself across multiple disciplines means you’re spreading yourself too thin: you’ll dilute your learning and only absorb information superficially.
Learning becomes agile when it forges connections across boundaries; transfers knowledge from one task, memory or field to another; and cross-fertilizes.

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Summary of “How To Know If You’ll Be Successful”

I started seeing how many objectives I could complete in a single day, and how many days I could compete challenges in a row.2.
How could you ever become an Olympic Athlete if you didn’t at some point see it and believe it in your mind?
Carry A Notepad Everywhere”I take notes like some people take drugs. There is an eight-foot stretch of shelves in my house containing nothing but full notebooks. I trust the weakest pen more than the strongest memory, and note taking is - in my experience - one of the most important skills for converting excessive information into precise action and follow-up.” - Tim Ferriss, in the blogpost, How to Take Notes Like an Alpha-GeekYour mind can be like a well.
Face Your Pain, Or It Will Be Buried And Stunt Your Growth”If you don’t know how to control your emotional reactions and there’s a refractory period, and you let that emotional reaction linger for hours or days, it turns into a mood. So you say to someone, ‘What’s wrong with you?’ The person says, ‘I’m in a mood.’ Then you say, ‘Why are you in a mood?’ They say, ‘Well, this thing happened to me five days ago and I’m having one long emotional reaction.’ If you keep that refractory period going for weeks and months, you’ve developed a temperament. If you keep that same refractory period going on for years, it’s called a personality trait.” - Dr.
I know people who had rough experiences as teenagers who are still subconsciously playing out the same emotional experiences from that episode.
See How Much You Can Do In A Single Day”Only those who will risk going too far can possibly find out how far one can go.” - T. S. EliotEzra Taft Benson was a religious leader who simultaneously served as the 15th United States Secretary of Agriculture during both presidential terms of Dwight D. Eisenhower.
See How Much You Can Give In Your Relationships”You can have everything in life you want, if you will just help other people get what they want.” - Zig ZiglarWhen you’re driven to give and to serve, you become more empathetic and relevant.
In order to keep yourself sharp, you need to never stop pushing your boundaries, not matter how good you become.

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Summary of “Artificial General Intelligence Is Here, and Impala Is Its Name”

AGI is a single intelligence or algorithm that can learn multiple tasks and exhibits positive transfer when doing so, sometimes called meta-learning.
During meta-learning, the acquisition of one skill enables the learner to pick up another new skill faster because it applies some of its previous “Know-how” to the new task.
The same neural network that makes recommendations to you for a Netflix show cannot use that learning to suddenly start making meaningful grocery recommendations.
Impala is their largest and most successful effort to date, showcasing a single algorithm that can learn 30 different challenging tasks requiring various aspects of learning, memory, and navigation.
First, Impala’s based on reinforcement learning, an AI technique that has its origins in behaviorism.
Reinforcement learning has already been used for some amazing achievements, such as endowing an AI with emotions and learning complex games like Go and Poker.
Even these reinforcement learning algorithms couldn’t transfer what they’d learned about one task to acquiring a new task.
In order to realize this achievement, DeepMind supercharged a reinforcement learning algorithm called A3C. In so-called actor-critic reinforcement learning, of which A3C is one variety, acting and learning are decoupled so that one neural network, the critic, evaluates the other, the actor.

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Summary of “The Challenge of Scaling Soft Skills”

So as the World Economic Forum report on future skills argued, it is human “Soft skills” that will become increasingly valuable – skills such as empathy, context sensing, collaboration, and creative thinking.
The paradox is that while we understand a lot about how to develop the “Hard skills” of analysis, decision-making, and analytical judgment, we know a great deal less about the genesis of soft skills.
It seems to me that there are three major barriers to scaling the development of soft skills.
Though some schools have moved the curriculum to soft skills and creativity, in many schools, these traditions hold firm.
What these learning technologies have not yet cracked at scale is how to support the development of soft skills across thousands or millions of people.
There is clear evidence that most adults learn a great deal at work, so we could imagine that adults could learn soft skills in the workplace.
The brain, in a sense, closes down to learning or performing soft skills.
Second, there’s a need for businesses to focus more on technological innovation to help employees develop soft skills.

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Summary of “The 5-Hour Rule Used by Bill Gates, Jack Ma and Elon Musk”

The most successful people on the planet are also the people likeliest to devote an hour a day to reading and learning.
Productivity expert Choncé Maddox writes, “It’s no secret that successful people read. The average millionaire is said to read two or more books per month.” As such, she suggests everyone “Read blogs, news sites, fiction and non-fiction during downtime so you can soak in more knowledge.” If you’re frequently on the go, listen to audiobooks or podcasts.
As Gates told The New York Times, reading “Is one of the chief ways that I learn, and has been since I was a kid.”
So how do they find the time to read daily? They adhere to the five-hour rule.
Read: Self-made millionaires including Mark Cuban and Dan Gilbert, owner of the Cleveland Cavaliers, read between one and three hours daily.
Elon Musk learned how to build rockets, which lead to SpaceX, by reading.
Besides expanding your knowledge, Jack Ma, co-founder of Alibaba, says that “Reading can give you a good head start; this is often what your peers cannot obtain. Compared to others, readers are more likely to know other industries’ strategies and tactics.”
Even if you can’t commit to an hour or more of reading every day, start with 20 to 30 minutes.

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Summary of “Isaac Asimov: Becoming Educated”

You may learn critical knowledge and key reasoning skills from books filled with facts, but this knowledge and reasoning will be limited in their scope without a broad imagination.
It’s often said that the best way to learn or to be educated is to teach, and there is a truth to that because teaching forces you to dig down to a core understanding that many neglect.
The best of the best only have one job: to evoke a sense of curiosity in you and to teach you to enjoy learning for its own sake.
“You valued learning and you taught me to value it. Once I learned to value it, the rest came without trouble.”
Very few people can recall the details of what they learned in school, but everybody can tell you their favorite part of a gripping story or the first time they picked up a great non-fiction.
Every experience we have and every lesson we learn is another information point that leads to a form of education.
Isaac Asimov lived a life that placed a high value on learning, and in the process, he showed us what it means to become educated and the steps worth taking to get there.
We associate knowledge with non-fiction, but great fiction is perhaps an even greater container of wisdom.

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Summary of “Slime Molds Remember”

Research into the behavior of protozoa such as the slime mold Physarum polycephalum suggests that these seemingly simple organisms are capable of complex decision-making and problem-solving within their environments.
Nakagaki and his colleagues have shown, for example, that slime molds are capable of solving maze problems and laying out distribution networks as efficient as ones designed by humans.
Chris Reid and his colleague Simon Garnier, who heads the Swarm Lab at the New Jersey Institute of Technology, are working on the mechanism behind how a slime mold transfers information between all of its parts to act as a kind of collective that mimics the capabilities of a brain full of neurons.
Each tiny part of the slime mold contracts and expands over the course of about one minute, but the contraction rate is linked to the quality of the local environment.
Using computer vision techniques and experiments that might be likened to a slime mold version of an MRI brain scan, the researchers are examining how the slime mold uses this mechanism to transfer information around its giant unicellular body and make complex decisions between conflicting stimuli.
He is not persuaded that Dussutour’s experiment with slime molds staying habituated to salt after extended dormancy shows much.
To Fred Kaijzer, a cognitive scientist at the University of Groningen in the Netherlands, the question of whether these interesting behaviors show that slime molds can learn is similar to the debate over whether Pluto is a planet: The answer depends as much on how the concept of learning is cast as on the empirical evidence.
“Slime mold researchers insist that functionally equivalent behavior observed in the slime mold should use the same descriptive terms as for brained animals, while classical neuroscientists insist that the very definition of learning and intelligence requires a neuron-based architecture,” he said.

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Summary of “The AI revolution has spawned a new chips arms race”

Google has a special AI chip for neural networks call the Tensor Processing Unit, or TPU, which is available for AI apps on the Google Cloud Platform.
IBM is developing specific AI processor, and the company also licensed NVLink from Nvidia for high-speed data throughput specific to AI and ML. Even non-traditional tech companies like Tesla want in on this area, with CEO Elon Musk acknowledging last year that former AMD and Apple chip engineer Jim Keller would be building hardware for the car company.
Why do we need more chips now, and so many different ones at that?
While x86 currently remains a dominant chip architecture for computing, it’s too general purpose for a highly specialized task like AI, says Addison Snell, CEO of Intersect360 Research, which covers HPC and AI issues.
The actual task of processing AI is a very different process from standard computing or GPU processing, hence the perceived need for specialized chips.
“Chips on the edge won’t compete with chips for the data center,” he says.
“Data center chips like Xeon have to have high performance capabilities for that kind of AI, which is different for AI in smartphones. There you have to get down below one watt. So the question is, ‘Where is not good enough so you need an accessory chip?'”.
A desire for more specialization and increased energy efficiency isn’t the whole reason these newer AI chips exist, of course.

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