MIT’s Artificial Brain-On-A-Chip Could Bring Supercomputing to Mobile Devices

Researchers fit tens of thousands of artificial brain synapses onto a single chip.

Stephanie Mlot   By Stephanie Mlot  – Re-Blogged From PC Magazine

What’s smaller than a piece of confetti, covered in artificial synapses, and may change the future of artificial intelligence? MIT’s new “brain-on-a-chip,” an engineering feat that could bring supercomputer smarts to mobile devices.

Researchers placed tens of thousands of tiny memristors (memory transistors)—silicon-based components that mimic the human brain’s information-transmitting synapses—onto a single chip which, when run through various tasks, was able to “remember” and reproduce stored images.

While artificial synapse networks currently exist only as software, the MIT team wants to build a hardware equivalent for portable artificial intelligence systems. The results, published this week in the journal Nature Nanotechnology, highlight the new memristor design—ideal for carrying out complex tasks on mobile devices that only supercomputers can handle.

Scientists Debut System to Translate Thoughts Directly Into Text

Brain Reader

Researchers say they’ve built a system that can translate brain signals directly into text — a promising step toward a “speech prosthesis” that could effectively allow you to think text directly into a computer.

“We are not there yet,” University of California researcher Joseph Makin told The Guardian, “but we think this could be the basis of a speech prosthesis.”

AI Power

Makin and his collaborators described the new system in a paper published in the journal Nature Neuroscience.

Neural Network Transforms 124-Year-Old Film Into Crisp HD

Movie Magic

When it premiered in 1896, the silent short film “L’Arrivée d’un train en gare de La Ciotat” was a cinematic wonder. Compared to today’s motion pictures, though, the quality of the black-and-white clip is downright primitive.

But now, YouTuber Denis Shiryaev has found a way to show what the film might have looked like if it had been recorded using more modern technology — by using artificial intelligence to upscale it to 4K resolution at 60 frames per second.

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Google’s New AI is Great at Spotting Breast Cancer in X-Rays

By Victor Tangermann – Re-Blogged From Futurism

Could this AI reduce our dependence on human radiologists?

A team of UK researchers at Google Health and Google’s AI lab DeepMind has created a tool that can successfully identify breast cancer in X-ray mammograms, Wired reports.

It’s so successful, according to the paper published in the journal Nature this week, that it could one day rival or even outperform human radiologists.

The researchers trained their AI using mammograms from nearly 91,000 women in the US and UK — and the results were impressive. Compared to human radiologists, the AI model flagged 9.4 percent fewer false negatives and 5.7 percent fewer false positives in the US dataset, and 2.7 and 1.2 percent respectively for the much larger UK dataset.

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Watch a Dog-Like Robot Climb Straight up a Ladder

By Kristin Houser – Re-Blogged From Futurism

We’ve seen four-legged robots dance, crank out some push-ups, and even backflip through autumn leaves.

But now, IEEE Spectrum reports that a team of Japanese roboticists has taught a dog-like robot a new trick: how to autonomously climb a vertical ladder.

Thumbs Up

The team from Tokyo Metropolitan University and Okayama University presented their quadruped robot at the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems on November 5.

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Robots Recreating Past Temperatures

From Jennifer Marohasy’s Blog – Re-Blogged From WUWT

AI research over the last couple of years at the University of Tasmania could have been a check on the existing mess with historical temperature reconstructions. Reconstructions that suggest every next year is hotter than the last the world over. Except that Jaco Vlok began with the Australian Bureau of Meteorology’s temperature datasets without first undertaking adequate quality assurance (QA).

BlueTeam-LookingDown-copy-1024x819

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This Robotic Warehouse Fills Orders in Five Minutes, and Fits in City Centers

By  – Re-Blogged From Singularity Hub

Shopping is becoming less and less of a consumer experience—or, for many, less of a chore—as the list of things that can be bought online and delivered to our homes grows to include, well, almost anything you can think of. An Israeli startup is working to make shopping and deliveries even faster and cheaper—and they’re succeeding.

rows of shelves goods in boxes modern industry

Why You (Probably) Have Bought Your Last Car Already

By Justin Rowlatt – Re-Blogged From BBC News

[If the images don’t show up, please see the original article. -Bob]

I’m guessing you are scoffing in disbelief at the very suggestion of this article, but bear with me.

A growing number of tech analysts are predicting that in less than 20 years we’ll all have stopped owning cars, and, what’s more, the internal combustion engine will have been consigned to the dustbin of history.

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Google’s AI Bots Invent Ridiculous New Legs to Scamper Through Obstacle Courses

By George Dvorsky – Re-Blogged From Gizmodo

[If animations don’t display, pleas go to original article. -Bob]

Left: An unmodified walker learning how to navigate challenging terrain. Right: A self-modified walker, using new limbs and walking strategy, working through the same obstacle course.
GIF: David Ha/Google Brain/Gizmodo

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Artificially Intelligent Investors Rack Up Massive Returns in Stock Market Study

 By -Re-Blogged From Seeker

An international team of researchers showed that artificial intelligence can make a killing on the stock market — and some real-world hedge funds are already trying it.

Artificial Intelligence, Or Can Machines Think?

By Alasdair Macleod – Re-Blogged From Goldmoney

Artificial intelligence (AI) is seen as both a boon and a threat. It uses our personal data to influence our lives without us realising it. It is used by social media to draw our attention to things we are interested in buying, and by our tablets and computers to predict what we want to type (good). It facilitates targeting of voters to influence elections (bad, particularly if your side loses).

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Your Shopping Experience Is on the Verge of a Major Transformation. Here’s Why.

By Peter H Diamandis – Re-Blogged From Singularity Hub

Exponential technologies (AI, VR, 3D printing, and networks) are radically reshaping traditional retail.

E-commerce giants (Amazon, Walmart, Alibaba) are digitizing the retail industry, riding the exponential growth of computation.

Many brick-and-mortar stores have already gone bankrupt, or migrated their operations online.

Massive change is occurring in this arena.

For those “real-life stores” that survive, an evolution is taking place from a product-centric mentality to an experience-based business model by leveraging AI, VR/AR, and 3D printing.

Let’s dive in.

E-Commerce Trends

Last year, 3.8 billion people were connected online. By 2024, thanks to 5G, stratospheric and space-based satellites, we will grow to 8 billion people online, each with megabit to gigabit connection speeds.

These 4.2 billion new digital consumers will begin buying things online, a potential bonanza for the e-commerce world.

At the same time, entrepreneurs seeking to service these four-billion-plus new consumers can now skip the costly steps of procuring retail space and hiring sales clerks.

Today, thanks to global connectivity, contract production, and turnkey pack-and-ship logistics, an entrepreneur can go from an idea to building and scaling a multimillion-dollar business from anywhere in the world in record time.

And while e-commerce sales have been exploding (growing from $34 billion in Q1 2009 to $115 billion in Q3 2017), e-commerce only accounted for about 10 percent of total retail sales in 2017.

In 2016, global online sales totaled $1.8 trillion. Remarkably, this $1.8 trillion was spent by only 1.5 billion people — a mere 20 percent of Earth’s global population that year.

There’s plenty more room for digital disruption.

AI and the Retail Experience

For the business owner, AI will demonetize e-commerce operations with automated customer service, ultra-accurate supply chain modeling, marketing content generation, and advertising.

In the case of customer service, imagine an AI that is trained by every customer interaction, learns how to answer any consumer question perfectly, and offers feedback to product designers and company owners as a result.

Facebook’s handover protocol allows live customer service representatives and language-learning bots to work within the same Facebook Messenger conversation.

Taking it one step further, imagine an AI that is empathic to a consumer’s frustration, that can take any amount of abuse and come back with a smile every time. As one example, meet Ava. “Ava is a virtual customer service agent, to bring a whole new level of personalization and brand experience to that customer experience on a day-to-day basis,” says Greg Cross, CEO of Ava’s creator, a New Zealand company called Soul Machines.

Predictive modeling and machine learning are also optimizing product ordering and the supply chain process. For example, Skubana, a platform for online sellers, leverages data analytics to provide entrepreneurs constant product performance feedback and maintain optimal warehouse stock levels.

Blockchain is set to follow suit in the retail space. ShipChain and Ambrosus plan to introduce transparency and trust into shipping and production, further reducing costs for entrepreneurs and consumers.

Meanwhile, for consumers, personal shopping assistants are shifting the psychology of the standard shopping experience.

Amazon’s Alexa marks an important user interface moment in this regard.

Alexa is in her infancy with voice search and vocal controls for smart homes. Already, Amazon’s Alexa users, on average, spent more on Amazon.com when purchasing than standard Amazon Prime customers — $1,700 versus $1,400.

As I’ve discussed in previous posts, the future combination of virtual reality shopping, coupled with a personalized, AI-enabled fashion advisor will make finding, selecting, and ordering products fast and painless for consumers.

But let’s take it one step further.

Imagine a future in which your personal AI shopper knows your desires better than you do. Possible? I think so. After all, our future AIs will follow us, watch us, and observe our interactions — including how long we glance at objects, our facial expressions, and much more.

In this future, shopping might be as easy as saying, “Buy me a new outfit for Saturday night’s dinner party,” followed by a surprise-and-delight moment in which the outfit that arrives is perfect.

In this future world of AI-enabled shopping, one of the most disruptive implications is that advertising is now dead.

In a world where an AI is buying my stuff, and I’m no longer in the decision loop, why would a big brand ever waste money on a Super Bowl advertisement?

The dematerialization, demonetization, and democratization of personalized shopping has only just begun.

The In-Store Experience: Experiential Retailing

In 2017, over 6,700 brick-and-mortar retail stores closed their doors, surpassing the former record year for store closures set in 2008 during the financial crisis. Regardless, business is still booming.

As shoppers seek the convenience of online shopping, brick-and-mortar stores are tapping into the power of the experience economy.

Rather than focusing on the practicality of the products they buy, consumers are instead seeking out the experience of going shopping.

The Internet of Things, artificial intelligence, and computation are exponentially improving the in-person consumer experience.

As AI dominates curated online shopping, AI and data analytics tools are also empowering real-life store owners to optimize staffing, marketing strategies, customer relationship management, and inventory logistics.

In the short term, retail store locations will serve as the next big user interface for production 3D printing (custom 3D printed clothes at the Ministry of Supply), virtual and augmented reality (DIY skills clinics), and the Internet of Things (checkout-less shopping).

In the long term, we’ll see how our desire for enhanced productivity and seamless consumption balances with our preference for enjoyable real-life consumer experiences — all of which will be driven by exponential technologies.

One thing is certain: the nominal shopping experience is on the verge of a major transformation.

Implications

The convergence of exponential technologies has already revamped how and where we shop, how we use our time, and how much we pay.

Twenty years ago, Amazon showed us how the web could offer each of us the long tail of available reading material, and since then, the world of e-commerce has exploded.

And yet we still haven’t experienced the cost savings coming our way from drone delivery, the Internet of Things, tokenized ecosystems, the impact of truly powerful AI, or even the other major applications for 3D printing and AR/VR.

Perhaps nothing will be more transformed than today’s $20 trillion retail sector.

Hold on, stay tuned, and get your AI-enabled cryptocurrency ready.

Join Me

Abundance Digital Online Community: I’ve created a digital/online community of bold, abundance-minded entrepreneurs called Abundance Digital.

Abundance Digital is my ‘onramp’ for exponential entrepreneurs — those who want to get involved and play at a higher level. Click here to learn more.

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Why Businesses Need Artificial Intelligence For Marketing

By Gloria Kent – Re-Blogged From https://www.websitesthatsell.com.au

The ways that businesses operate today is not the same as 30 years’ ago. Today, businesses operate based off data-driven reasoning. With that, one of the most effective means to generate revenue growth is through marketing. Now, if a company wants to take their success to new heights, they need to begin using AI for marketing. Here are five reasons behind how AI marketing can transform your marketing efforts.

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Who Is Going to Suffer From Automation?

By Kristin Houser – Re-Blogged From Futurism

Educated Guesses

Thanks to rapid advances in the fields of artificial intelligence (AI) and robotics, smart machines that would have once been relegated to works of science-fiction are now a part of our reality.

Today, we have AIs that can pick apples, manage hotels, and diagnose cancer. Researchers at MIT have even developed an algorithm that can predict the immediate future. If only they could train it to predict how automation is going to impact the human workforce…

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Epochal Stock Market Flash Crash

By David Haggith – Re-Blogged From http://www.Silver-Phoenix500.com

It took sixteen months to build the exceptionally steep Trump Rally, and just one week to eliminate a quarter of it. While I wouldn’t call that jolting reversal a stock-market crash in the ordinary sense, the largest one-day point fall in the history of the market (by far) certainly marks a massive change in market conditions. From this point forward, it won’t be the same market it was.

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Artificially Intelligent Investors Rack Up Massive Returns in Stock Market Study

An international team of researchers showed that artificial intelligence can make a killing on the stock market — and some real-world hedge funds are already trying it.

Living with the Exponential – I

By George Smith – Re-Blogged From Barbarous Relic

Before the middle of this century, the growth rates of our technology— which will be indistinguishable from ourselves— will be so steep as to appear essentially vertical. From a strictly mathematical perspective, the growth rates will still be finite but so extreme that the changes they bring about will appear to rupture the fabric of human history. That, at least, will be the perspective of unenhanced biological humanity.

Kurzweil, Ray. The Singularity Is Near: When Humans Transcend Biology, September 26, 2006

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The Forces Driving Democratic Recession

By Jay Ogilvy – Re-Blogged From Stratfor

Liberal democracy is in retreat across the globe. Following decades of expansion since the 1950s, the spread of democracy hit a wall in the new millennium. Freedom House, using carefully crafted metrics, has measured a decline in democracy and freedom worldwide. Definitions are important: Does the fact of elections, even where the outcome is autocratically determined, qualify a country as a democracy? By most measures and definitions, there are now about 25 fewer democratic countries than there were at the turn of the millennium.

Founding co-editor of the Journal of Democracy Larry Diamond wrote a 2015 paper, “Facing up to the Democratic Recession.” Diamond asks, reasonably enough, “Why have freedom and democracy been regressing in many countries? The most important and pervasive answer is, in brief, bad governance.” But this tells us very little. How and why has governance been so bad?

Tech Experts Disagree Wildly on the Future Impact of AI

By Tom Ward – Re-Blogged From Futurism

In Brief
  • Elon Musk has given a doomsday prophecy on the topic of AI, going as far as to invest $1 billion into researching how to use it safely.
  • Other experts have different perspectives on the future of AI, but all are agreed that this is an important topic, and how we use this powerful technology must be thoroughly thought through.

The AI Debate

Our technology prophets are talking in the lexicon of magic, gods, and monsters when it comes to artificial intelligence (AI). They predict every scenario from utopias to apocalypses, overlords to angels.

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Scientists Are Using CRISPR To “Program” Living Cells

By Dom Galeon – Re-Blogged From Futurism

Scientists from the University of Washington have constructed digital logic gates in living cells. Though they’re not the first to do so, the researchers’ living circuitry is the largest and most complex of any created thus far.

Living Circuits

Thanks to projects like Elon Musk’s Neuralink, a future in which humankind merges with machines is on everyone’s minds. While a brain computer interface (BCI) like the one Musk is proposing would involve making a computer function as part of a human body, other researchers are taking an opposite route. Instead of making machines that can imitate biology, they’re looking for ways to make biological systems function more like computers.

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AI and Robots Will Change the Way We Create and Consume Content

By Benjamin Stecher – Re-Blogged From https://futurism.com
The future of entertainment in on its way toward some major changes. The rapid pace of technological advancement is allowing more content to be
created in more ways. Also, with the rise of automation, more people will be able to pursue creative endeavors.