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What Algorithms Know About You Based on Your Grocery Cart

Algorithms now know that people who buy fresh fennel are less likely to make home insurance claims, but they’re not smart enough to stop showing baby-related ads to women who’ve miscarried.
John Lasschuit ®™'s insight:

Adapted from Hello World: Being Human in the Age of Algorithms by Hannah Fry. She might be optimistic, I'm not so sure.

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ETL and the ELT paradigma –

For the last couple of decades, ETL (extract, transform, load) has been the traditional approach for data warehousing and analytics. The ELT (extract, load, transform) approach changes the old paradigm. But, what’s actually happening when the “T” and “L” are switched?

John Lasschuit ®™'s insight:

Good article with all the pro's and cons of ELT and ETL. And how ETL cn help managing today's Data Warehouses. 

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The Awesome Potential of Quantum COmputing

QC is humanity’s next big step forward, but can we be good stewards of such power?

John Lasschuit ®™'s insight:

If you're interested in quantum computing a good read.

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The Last Invention of Man 

Excerpted from the book Life 3.0: Being Human in the Age of Artificial Intelligence. The rest of the book is about another tale — one that’s not fictional and not yet written: the tale of our own future with AI. How would you like it to play out? 

John Lasschuit ®™'s insight:

In short @MaxTegmarks book on AI in combination with nanotechnology and quantumcomputing could be the last invention mankind will make. 

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2018 is the End of Social Media as we Know It – FutureSin –

Two million people under the age of 25 will stop using the social network this year, research firm eMarketer predicted. For the first time, the majority of US internet users between the ages of 12 and 17 won’t use Facebook once a month this year.

John Lasschuit ®™'s insight:

We can of course hope it's true, but to me it seems more a wish than a fact.

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Fortnite Lessons: How Data Lakes Can Help Democratize Data

Fortnite Lessons: How Data Lakes Can Help Democratize Data | IT News | Scoop.it
In a business world, the ability to democratize data is a cornerstone of competitive advantage.

Via Tony Shan
John Lasschuit ®™'s insight:

By Shant Hovsepian. To truly democratize data, it is essential to leave it where it naturally resides without impeding the types or forms of analysis that are possible. 

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Why Microservices Will Become a Core Business Strategy for Most Organizations

Why Microservices Will Become a Core Business Strategy for Most Organizations | IT News | Scoop.it

As an industry, we have collectively returned to that eternal debate about what constitutes a largely technical evolution versus when an important digital idea becomes a full-blown business trend. This has happened before with Web sites, e-commerce, mobile applications, social media, and other well-known advances. It can be hard to remember that at first these were looked at as mostly technology sideshows. Yet they all went on to become serious must-have capabilities on the business side.

John Lasschuit ®™'s insight:

Maybe it's a hype and nothing more, but reality is that more and more applications are rebuild using microservices. It sure has advantages, but it also has some serious disadvantages. 

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Governments of the World Need To Stop Seeing Blockchain As a Technology, And Rebuild Trust in a Digital World

We have a problem just now, in that many governments around the world just see Blockchain, Distributed Ledgers, Tokenisation — call it what you want — as just another series of technology that they have to adopt, and set up mechanisms for their industry to integrate it into new products.

John Lasschuit ®™'s insight:

I agree completely. By Prof Bill Buchanan.

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Your Mainframe Is the Original Cloud

Your Mainframe Is the Original Cloud | IT News | Scoop.it
Cloud computing was not a tech buzzword until a decade ago but organizations were deploying mainframes that provided the same benefits long before that.

Via Tony Shan
John Lasschuit ®™'s insight:

You can disagree, be he sure has a point. And what's the difference between a server farm and mainframe anyway?

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Blockchain explained in 1000 words –

Has trying to understand blockchain ever left you dazed and confused? Sick of hearing nonsense like SHA256 algorithms and byzantine fault tolerance? Just want to know what the hell blockchain is and why people keep talking about it?

John Lasschuit ®™'s insight:

Very readable explanation of how blockchains work and why fraud is almost impossible. By Jack Dossman.

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Why We Need Web 3.0 

Why We Need Web 3.0  | IT News | Scoop.it

It was over four years ago that I coined the term “Web 3.0.” Back then, it was clear to me: Ethereum — the platform I cofounded — would allow people to interact in mutually beneficial ways without anyone needing to trust each other. With technologies for message passing and data publication, we hoped to construct a peer-to-peer web that lets you do everything you can now, except there would no servers and no authorities to manage the flow of information.


Via Ana Cristina Pratas
John Lasschuit ®™'s insight:

By Gav Would. He has a point. And I believe it's time to make the move.

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Blockchain and Data Storage: A Perfect Match? – Data Driven Investor –

Data. It’s fast becoming one of the world’s most highly-prized resources. Indeed, its recent proliferation is virtually our raison d’être here at Data Driven Investor.

John Lasschuit ®™'s insight:

Is blockchain suited for decentralized storage? The answer is: not by far at the moment.

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The race to make the world's most powerful computer ever

The race to make the world's most powerful computer ever | IT News | Scoop.it

Quantum computers have long been touted as incredibly powerful machines that will be able to solve hugely complex computational problems much faster than any computer we have available today. But no-one can agree on the best way to make them. Who will win the race?

John Lasschuit ®™'s insight:

While we wait for quantum computers, what's the future for conventional, or classical, computing?

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Let’s take a crack at understanding distributed “consensus”

After reading this post, you’ll walk away with a stronger grasp of the following:

  • What a distributed system is
  • The properties of a distributed system
  • What it means to have consensus in a distributed system
  • An understanding of foundational consensus algos (e.g. DLS & PBFT)
  • Why Nakamoto Consensus is a big deal
John Lasschuit ®™'s insight:

Really great piece on the fundamentals of distributed computing and consensus. For everyone who's interested.

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Blockchain Consensus Algorithm: PoW, PoS and Beyond

The Byzantine Generals’ Problem is analogous to solving consensus issues on the blockchain. The nodes must all agree on a certain set of rules, and be able to move forward by agreeing on a particular assessment of transaction information before it is added onto the chain. This is not easy — thousands of people use the network and must ensure that they agree on the validity of new information that’s to be added, on top of preventing bad actors from sabotaging the ledger and rewriting history. So, a specific type of consensus mechanism/algorithm must be adopted. This protocol enables a coherent group of network entities to work together in order to update the ledger in a secure fashion.

John Lasschuit ®™'s insight:

Prroof of Work (POW) or Proof of Stake (POS)? The last seems better when a Distributed (DPOS) algorithm is used.

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Fundamental challenges with public blockchains – Preethi Kasireddy –

blockchains have several major technical barriers that make them impractical for mainstream use today.

John Lasschuit ®™'s insight:

Limited scalability, Limited privacy, Lack of formal contract verification, Storage constraints, Unsustainable consensus mechanisms, Lack of governance and standards, Inadequate tooling, Quantum computing threat and more.

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A Technical Look at How Criminals Use AI – Predict –

Machine learning is one of the most exciting new features used in technology today. However, it is undoubtedly controversial too. At the moment, this controversy does not really come from the prospect of ultra-intelligent robots dramatically taking over the human race; instead, it’s because powerful technology like this can be used just as negatively by criminals, as it can be used positively by those with good intention. In this piece, I would like to explore the darker side: how criminals use AI illegally.

John Lasschuit ®™'s insight:

The dark side of AI and machine learning. It's not the question if it will be misused, but when and on what scale.

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Artificial Personhood is the Root Cause Why A.I. is Dangerous to Society

I have now come to the realization that human compatible AI is a problem that is inextricably intertwined with human civilization. It cannot be solved because present human civilization isn’t structured in a manner that is aligned with the needs of humanity. 

John Lasschuit ®™'s insight:

You cannot achieve human beneficial A.I. without drastically remaking human civilization. By Carlos E. Perez.

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A new brain-inspired architecture could improve how computers handle data and advance AI

A new brain-inspired architecture could improve how computers handle data and advance AI | IT News | Scoop.it
IBM researchers are developing a new computer architecture, better equipped to handle increased data loads from artificial intelligence. Their designs draw on concepts from the human brain and significantly outperform conventional computers in comparative studies. They report on their recent findings in the Journal of Applied Physics.

Via THE OFFICIAL ANDREASCY, Patrick Bouillaud
John Lasschuit ®™'s insight:

Forget Von Neumann principles and switch to phase-change memory.

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Doug Stewart's curator insight, October 5, 1:57 PM
IBM researchers are developing a new computer architecture, better equipped to handle increased data loads from artificial intelligence.
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Facebook is a Warning of What Will Occur with AI – Michael K. Spencer –

It’s as if Big Tech has hacked the political system and the politicians themselves. Zuckerberg’s testimony shows how little American leaders even understand the new world of algorithms, Ad-platforms, and AI.

John Lasschuit ®™'s insight:

As tech firms using algorithms (that they don’t even understand) become more powerful, the question remains should we break up with them, or should they be regulated and broken up? How do you break-up with a monopoly that spans many of the apps you use in your everyday life?

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When Will We Have Artificial Intelligence As Smart as a Human? Here’s What Experts Think

When Will We Have Artificial Intelligence As Smart as a Human? Here’s What Experts Think | IT News | Scoop.it
Human-level artificial intelligence (HLAI) is a holy grail of AI research. But no one knows how to make it. Here's when the experts think it'll happen.

Via Enzo Calamo, massimo facchinetti
John Lasschuit ®™'s insight:

In general: it will take some time to go from ANI to AGI. Over a decade at least. Somewhere around 2030-2035. But nevertheless, we need to adept to it and starting now may be a good idea. 

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We’re living in the Last Era Before Artificial General Intelligence

An Artificial General Intelligence is coming, and we have no clue how homo sapiens might be impacted. When we think of preparing for our future, we used to think about going to good college and…
John Lasschuit ®™'s insight:

Is this the road to #singularity? I doubt that AGI will occur around 2030, it's far more complicated. But when it does, I'm not certain such will be a profit for mankind.

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Mark Zuckerberg, Elon Musk and the Feud over Killer Robots

As the tech moguls disagree over the risks presented by something that doesn’t exist yet, all of Silicon Valley is learning about unintended consequences of A.I.

John Lasschuit ®™'s insight:

By Cade Matz - New York Times. Among AI scientists, the notion that we should start worrying about superintelligence is “very much a fringe argument.” And that is the real problem. As history tells us, scientists are in general not the ones that see the long term consequences of their inventions. I think Musk maybe right: “We are headed toward either superintelligence or civilization ending.”

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Convolutional Neural Networks: The Biologically-Inspired Model

“At its most basic, convolutional neural networks can be thought of as a kind of neural network that uses many identical copies of the same neuron. This allows the network to have lots of neurons and express computationally large models while keeping the number of actual parameters — the values describing how neurons behave — that need to be learned fairly small.”

John Lasschuit ®™'s insight:

A deep insight on how convolutional Neural Networks work and why these are needed for the next step in #AI.

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Writing a smart contract? Look at the (legal and computer) codes.

The basic idea of smart contracts is that many kinds of contractual clauses (such as liens, bonding, delineation of property rights, etc.) can be embedded in the hardware and software we deal with, in such a way as to make breach of contract expensive (if desired, sometimes prohibitively so) for the breacher.

— Nick Szabo, creator of the smart contract concept in 1997

John Lasschuit ®™'s insight:

Despite their name, smart contracts are not actually legally binding contracts. They are actually computer programs, which, when certain pre-specified conditions are met, trigger an event. Though not strictly necessary, they are often implemented with Blockchain technology

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