We take computing power for granted today.
That’s because computers are literally everywhere around us. And thanks to advances in technology and manufacturing, the cost of producing semiconductors is so low that we’ve even started turning things like toys and streetlights into computers.
But how and where did this familiar new era start?
The History of Computer Science
Today’s infographic comes to us from Computer Science Zone, and it describes the journey of how we got to today’s tech-oriented consumer society.
It may surprise you to learn that the humble and abstract groundwork of what we now call computer science goes all the way back to the beginning of the 18th century.
Incredibly, the history of computing goes all the way back to a famous mathematician named Gottfried Wilhem Leibniz.
Leibniz, a polymath living in the Holy Roman Empire in an area that is now modern-day Germany, was quite the talent. He independently developed the field of differential and integral calculus, developed his own mechanical calculators, and was a primary advocate of Rationalism.
It is arguable, however, that the modern impact of his work mostly stems from his formalization of the binary numerical system in 1703. He even envisioned a machine of the future that could use such a system of logic.
From Vacuums to Moore’s Law
The first computers, such as the IBM 650, used vacuum tube circuit modules for logic circuitry. Used up until the early 1960s, they required vast amounts of electricity, failed often, and required constant inspection for defective tubes. They were also the size of entire rooms.
Luckily, transistors were invented and then later integrated into circuits – and 1958 saw the production of the very first functioning integrated circuit by Jack Kilby of Texas Instruments. Shortly after, Gordon Moore of Intel predicted that the number of transistors per integrated circuit would double every year, a prediction now known as “Moore’s Law”.
Moore’s Law, which suggests exponential growth, continued for 50 years until it started scratching its upper limits.
It can’t continue forever. The nature of exponentials is that you push them out and eventually disaster happens.
– Gordon Moore in 2005>
It’s now been argued by everyone from The Economist to the CEO of Nvidia that Moore’s Law is over for practical intents and purposes – but that doesn’t mean it’s the end of the road for computer science. In fact, it’s just the opposite.
The Next Computing Era
Computers no longer take up rooms – even very powerful ones now fit in the palm of your hand.
They are cheap enough to put in refrigerators, irrigation systems, thermostats, smoke detectors, cars, streetlights, and clothing. They can even be embedded in your skin.
The coming computing era will be dominated by artificial intelligence, the IoT, robotics, and unprecedented connectivity. And even if things are advancing at a sub-exponential rate, it will still be an incredible next step in the evolution of computer science.
How Decentralized Finance Could Make Investing More Accessible
Under the current global financial system, billions of people do not have access to quality assets. Here’s how decentralized finance is changing that.
Infographic: How Decentralized Finance Could Make Investing More Accessible
Did you know that a majority of the global population doesn’t have access to quality financial assets?
In advanced economies, we are lucky to have simple options to grow and protect our wealth. Banks are all over the place, markets are robust, and we can invest our money into assets like stocks or bonds at the drop of a hat.
In the United States, roughly 52% of people are invested in the stock market – but in a place like India, for example, this portion drops to a paltry 2%. How can we make it possible for people on the “outside” of the financial system to gain access?
Breaking Down Barriers
Today’s infographic comes to us from Abra, and it shows how decentralized finance could make investing a more universal phenomenon, especially for those that don’t have access to the modern financial system.
It lays out four key obstacles that prevent people in developing markets from investing in quality financial assets in the first place:
- The Geographic Lottery
Where you live plays a massive role in determining your ability to build wealth. In advanced Western economies, the average person is much more likely to be invested in financial markets that can help compound wealth.
- Financial Literacy and Complexity
Roughly 3.5 billion adults globally lack an understanding of basic financial concepts, which creates an impenetrable barrier to investing.
- Local Market Turmoil
Even if a person is mentally prepared to invest, local market turmoil (hyperinflation, political crises, closed borders, etc.) can make it difficult to get access to stable assets.
- The Cost of Investing in Foreign Markets
Foreign assets can be pricey. One share of Amazon is $1,800, which is realistically more money than many people around the world can afford.
In other words, there are billions of people globally that can’t take advantage of some of the most effective wealth-building tactics.
This is just one flaw in the current financial system, a paradigm that has created massive amounts of wealth but only for a specific and well-connected group of people.
Enter Decentralized Finance
Could decentralized finance be the alternative to open up access to financial markets?
By combining apps with blockchain technology – specifically through public blockchains such as Bitcoin or Ethereum – decentralized finance makes it possible to get around some of the barriers that are created by more traditional systems.
Here are some of the innovations that are making this possible:
Smart contracts could automate transactions and remove intermediaries, making investing cheaper, faster, and more accessible.
Fractional investing could allow partial or shared ownership of financial assets by using tokenization. This would make expensive stocks like Amazon ($1,800 per share) available to a much wider segment of the population.
Location independent investing is possible through smartphones. This would make it possible for people in remote parts of the developing world to invest, even without access to nearby financial institutions or local markets.
Like the internet with knowledge, decentralized finance could reshape the world by making financial access universal. Who’s ready?
How Much Data is Generated Each Day?
By 2020, there will be 40x more bytes of data than there are stars in the observable universe. See how much data gets added to the mix each and every day.
How Much Data is Generated Each Day?
View the full-size version of the infographic by clicking here
You’ve probably heard of kilobytes, megabytes, gigabytes, or even terabytes.
These data units are common everyday amounts that the average person may run into. Units this size may be big enough to quantify the amount of data sent in an email attachment, or the data stored on a hard drive, for example.
In the coming years, however, these common units will begin to seem more quaint – that’s because the entire digital universe is expected to reach 44 zettabytes by 2020.
If this number is correct, it will mean there are 40 times more bytes than there are stars in the observable universe.
A Crash Course in Data
Today’s infographic comes to us from Raconteur, and it gives us a picture of this new data reality.
Before we get to how much data is created each day – both now, and in the future – it’s worth getting acquainted with how data scales in terms of units.
|Abbreviation||Unit||Value||Size (in bytes)|
|b||bit||0 or 1||1/8 of a byte|
|B||bytes||8 bits||1 byte|
|KB||kilobytes||1,000 bytes||1,000 bytes|
|MB||megabyte||1,000² bytes||1,000,000 bytes|
|GB||gigabyte||1,000³ bytes||1,000,000,000 bytes|
|TB||terabyte||1,000⁴ bytes||1,000,000,000,000 bytes|
|PB||petabyte||1,000⁵ bytes||1,000,000,000,000,000 bytes|
|EB||exabyte||1,000⁶ bytes||1,000,000,000,000,000,000 bytes|
|ZB||zettabyte||1,000⁷ bytes||1,000,000,000,000,000,000,000 bytes|
|YB||yottabyte||1,000⁸ bytes||1,000,000,000,000,000,000,000,000 bytes|
There’s no doubt that data literacy will only become more important in the future, so make sure you know your zettabytes from your yottabytes!
A Day of Data
How much data is generated in a day – and what could this look like as we enter an even more data-driven future?
Here are some key daily statistics highlighted in the infographic:
- 500 million tweets are sent
- 294 billion emails are sent
- 4 petabytes of data are created on Facebook
- 4 terabytes of data are created from each connected car
- 65 billion messages are sent on WhatsApp
- 5 billion searches are made
By 2025, it’s estimated that 463 exabytes of data will be created each day globally – that’s the equivalent of 212,765,957 DVDs per day!
If you think the above information is fascinating, see what happens in an internet minute.
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