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Internet of Things: “Connected” Does Not Equal “Smart” | InFocus

Internet of Things: “Connected” Does Not Equal “Smart” | InFocus | IT News | Scoop.it

The hype is huge around the Internet of Things (IoT) and the Internet of Everything (IoE), but the potential often gets lost in endless discussions about the technologies that underpin the IoT and IoE (sensors, beacons, telematics, fitness trackers, mobile apps, global positioning devices, etc.). Millions of different “connected” devices + massive amounts of data = lots of confusion, unless you first determine what you are trying to do with that wealth of data.

John Lasschuit ®™'s insight:

By Bill Schmarzo. Connected does not necessarily mean smart.

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What Microsoft and Google Are Not Telling You About Their A.I.

Most A.I. companies reveal very little about their algorithms in the name of intellectual property protection. How much of A.I. is “artificial,” and how much is manual labor?
John Lasschuit ®™'s insight:

Good article by Lance Ng. How intelligent is AI? Well, not too intelligent. And far, far away from general AI (AGI). 

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9 Innovations Creeping Us Out in 2019 – Fast Company –

New laws were important victories for personal privacy in a year that was otherwise marred by tech industry scandals, blunders, and all kinds of reminders of innovation’s creepy side. Here are a few recent developments worth keeping an eye on this year.

John Lasschuit ®™'s insight:

The technology that deserves our vigilance before “creepy” creeps into “dangerous”

by Ruth Reader - @FastCompany. And yes: AI is very, very dangerous.

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A Radical New Neural Network Design Could Overcome Big Challenges in AI

Researchers borrowed equations from calculus to redesign the core machinery of deep learning so it can model continuous processes like changes in health

John Lasschuit ®™'s insight:

Good explanation of Duvenaud's ODE principle. Discrete steps versus continious and possible endless variations.

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The Age of the Troll –

As I reflect on 2018, a thought keeps occurring to me. History will probably regard this as the age of the troll. Not just this year — maybe this whole decade. It was a time when the world got…
John Lasschuit ®™'s insight:

Fact or fiction?

Read Jonas Jonassons 

The Accidental Further Adventures of the Hundred-Year-Old Man

It will surpirse you how accurate it is.

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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.
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.
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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Criteria for Artificial General Intelligence –

The search for artificial general intelligence has been focused on various ways to mimic the human brain. This works for certain aspects of intelligence, yet we have failed to replicate the right parts of brain-like behavior necessary for all the powers we find in ourselves.

John Lasschuit ®™'s insight:

What must a general intelligence be able to do? By Anthony Repetto. Recognition, hypothesis testing, imagination, recall, analogy and implication, are only some of the properties we should hope for in a general intelligence. 

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AI Thinks Like a Corporation — and That’s Worrying – The Economist –

Artificial intelligence was born of organisational decision-making and state power; it needs human ethics, says Jonnie Penn of the University of Cambridge.

John Lasschuit ®™'s insight:

Capitalism in the code. The politics of corporate and computational identity become the poloitcs of the new era.

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How to Prepare for the AI Apocalypse – AI’s Dirty Little Secret –

“The development of full artificial intelligence could spell the end of the human race…It would take off on its own and redesign itself at an ever-increasing rate. Humans, who are limited by slow biological evolution, couldn’t compete and would be superseded.” — Stephen Hawking

John Lasschuit ®™'s insight:

We've been warned. Over and over. But no one listens.

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Facebook’s Plan To Swallow The Whole Internet – Fast Company –

Over the past few years, the Facebook feed has become a reviled part of pop culture–a symbol of everything people complain about when they think of the company, from opaque algorithms to political…
John Lasschuit ®™'s insight:

I think we should prevent this from happening and just quit Facebook (and other social media).

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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, 2018 6:57 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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