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Congratulations to the authors of "Understanding Deep Learning Requires Rethinking Generalization", an #ICLR2107 Best Paper 

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16 Video Marketing Stats You Need to Know (infographic)

With video streaming websites like YouTube skyrocketing in popularity, an increasing number of businesses have taken advantage of this booming marketing opportunity. Videos might be more expensive to produce than tweets and graphics, but they also offer much more flexibility that you can't get with a static image. Whether you're looking for an advertisement, a how-to video, a product demo, or just a fun video to catch your clients' attention, you can do just about anything with this exciting art form.

In this study, +Vidyard analyzed over 500 businesses and over 250,000 videos to see how businesses use #videomarketing to their advantage. Shorter videos tend to attract more viewers, but longer videos can still serve a purpose. Businesses have an average of almost 300 videos in their library, showing how vital they are to modern #contentmarketing strategies. If you're interested in video marketing, read on to discover how you can use videos to your advantage.

#marketing #infographic

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Search engine optimization is the process of improving the visibility of a website.......

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What's Coming Next? How the Brain Predicts Speech

An international collaboration of neuroscientists has shed light on how the brain helps us to predict what is coming next in speech.

The research is in PLOS Biology. (full open access)

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Check out 7 most important thing in Social Media marketing which will boost your Business...

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How To Use Live Streaming For Business?
Live streaming has opened new avenues for businesses to educate their audience and market their products. This form of marketing gives a new dimension to brand management and provides a more organic way for a business to engage their leads. Whether it is ab...

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Brain-Computer Interface and Elon Musk's Neuralink Venture

Tim Urban truly is one of those writers who is a joy to read. Here, he explains what Elon Musk is aiming to do with his brain-machine interface (BMI) venture, Neuralink, and does so with some really deep background into the human brain.

This article will take a little while to get through (I mean, this thing is a small book), but it is completely worth it. The illustrative capacity of Urban's prose is captivating. I learned a ton about brains and the technology for conversing with them simply by reading this piece.

Phew, I better stop selling, and just let you read a few samples that I found particularly intriguing. But then, I've included so much that you might as well just read the article:

Computers can compute and organize and run complex software—software that can even learn on its own. But they can’t think in the way humans can. The Human Colossus knows that everything it’s built has originated with its ability to reason creatively and independently—and it knows that the ultimate brain extension tool would be one that can really, actually, legitimately think. It has no idea what it will be like when the Computer Colossus can think for itself—when it one day opens its eyes and becomes a real colossus—but with its core goal to create value and push technology to its limits, the Human Colossus is determined to find out.

On the goals of BMI
There are many kinds of potential brain-machine interface (sometimes called a brain-computer interface) that will serve many different functions. But everyone working on BMIs is grappling with either one or both of these two questions:

1) How do I get the right information out of the brain?
2) How do I send the right information into the brain?

These two things are happening naturally in your brain all the time. Right now, your eyes are making a specific set of horizontal movements that allow you to read this sentence. That’s the brain’s neurons outputting information to a machine (your eyes) and the machine receiving the command and responding.

Explaining EEG
Imagine that the brain is a baseball stadium, its neurons are the members of the crowd, and the information we want is, instead of electrical activity, vocal cord activity. In that case, EEG would be like a group of microphones placed outside the stadium, against the stadium’s outer walls. You’d be able to hear when the crowd was cheering and maybe predict the type of thing they were cheering about. You’d be able to hear telltale signs that it was between innings and maybe whether or not it was a close game. You could probably detect when something abnormal happened. But that’s about it.

On how many simultaneous neural connections are needed
We need higher bandwidth if this is gonna become a big thing. Way higher bandwidth.

The Neuralink team threw out the number “one million simultaneously recorded neurons” when talking about an interface that could really change the world. I’ve also heard 100,000 as a number that would allow for the creation of a wide range of incredibly useful BMIs with a variety of applications.

... Sometimes called Stevenson’s Law, this research suggests that the number of neurons we can simultaneously record seems to consistently double every 7.4 years. If that rate continues, it’ll take us till the end of this century to reach a million, and until 2225 to record every neuron in the brain and get our totally complete wizard hat.

Whatever the equivalent of the integrated circuit is for BMIs isn’t here yet, because 7.4 years is too big a number to start a revolution. The breakthrough here isn’t the device that can record a million neurons—it’s the paradigm shift that makes the future of that graph look more like Moore’s Law and less like Stevenson’s Law. Once that happens, a million neurons will follow.

On the cyborg we already are
In that sense, your phone is as much “you” as your vocal cords or your ears or your eyes. All of these things are simply tools to move thoughts from brain to brain—so who cares if the tool is held in your hand, your throat, or your eye sockets? The digital age has made us a dual entity—a physical creature who interacts with its physical environment using its biological parts and a digital creature whose digital devices—whose digital parts—allow it to interact with the digital world.

But because we don’t think of it like that, we’d consider someone with a phone in their head or throat a cyborg and someone else with a phone in their hand, pressed up against their head, not a cyborg. Elon’s point is that the thing that makes a cyborg a cyborg is their capabilities—not from which side of the skull those capabilities are generated.

In other words, putting our technology into our brains isn’t about whether it’s good or bad to become cyborgs. It’s that we are cyborgs and we will continue to be cyborgs—so it probably makes sense to upgrade ourselves from primitive, low-bandwidth cyborgs to modern, high-bandwidth cyborgs.

Omni Sense
But in the same way we can currently hook an implant, for example, into someone’s cochlea—which connects a different mic to their auditory cortex—down the road we’ll be able to let sensory input information stream into your wizard hat wirelessly, from anywhere, and channel right into your sensory cortices the same way your bodily sensory organs do today. In the future, sensory organs will be only one set of inputs into your sense—and compared to what our senses will have access to, not a very exciting one.

Hearing like a dog
Want to hear what a dog hears? That’s easy. The pitch range we can hear is limited by the dimensions of our cochlea—but pitches out of the ear’s range can be sent straight into our auditory nerve.

A revolution in knowing
Level 1: I want to know a fact. I call on the cloud for that info—like googling something with my brain—and the answer, in text, appears in my mind’s eye. Basically what I do now except it all happens in my head.

Level 2: I want to know a fact. I call on the cloud for that info, and then a second later I just know it. No reading was involved—it was more like the way I’d recall something from memory.

Level 3: I just know the fact I want to know the second I want it. I don’t even know if it came from the cloud or if it was stored in my brain. I can essentially treat the whole cloud like my brain. I don’t know all the info—my brain could never fit it all—but any time I want to know something it downloads into my consciousness so seamlessly and quickly that it’s as if it were there all along.

Level 4: Beyond just knowing facts, I can deeply understand anything I want to, in a complex way. We discussed the example of Moby Dick. Could I download Moby Dick from the cloud into my memory and then suddenly have it be the same as if I had read the whole book? Where I’d have thoughts and opinions and I could cite passages and have discussions about the themes?

On controlling AI
And since Elon sees AI as the ultimate power, he sees AI development as the ultimate “play it safe” situation. Which is why his strategy for minimizing existential AI risk seems to essentially be that AI power needs to be of the people, by the people, for the people.

On extending our minds...
And just like the feelings and urges of the limbic system and the thoughts and chattering voice of the cortex all feel to you like parts of you—like your inner essence—the activity that flows through your wizard hat will feel like a part of you and your essence.

...And our sense of self
This makes sense on paper. You do most of your “thinking” with your cortex, but then when you get hungry, you don’t say, “My limbic system is hungry,” you say, “I’m hungry.” Likewise, Elon thinks, when you’re trying to figure out the solution to a problem and your AI comes up with the answer, you won’t say, “My AI got it,” you’ll say, “Aha! I got it.” When your limbic system wants to procrastinate and your cortex wants to work, a situation I might be familiar with, it doesn’t feel like you’re arguing with some external being, it feels like a singular you is struggling to be disciplined. Likewise, when you think up a strategy at work and your AI disagrees, that’ll be a genuine disagreement and a debate will ensue—but it will feel like an internal debate, not a debate between you and someone else that just happens to take place in your thoughts. The debate will feel like thinking.
And what he says is that this is all about bandwidth. It’s obvious why bandwidth matters when it comes to making a wizard hat useful. But Elon believes that when it comes to interfacing with AI, high bandwidth isn’t just preferred, but actually fundamental to the prospect of being AI, versus simply using AI.Here he is walking through his thoughts:

The challenge is the communication bandwidth is extremely slow, particularly output. When you’re outputting on a phone, you’re moving two thumbs very slowly. That’s crazy slow communication. … If the bandwidth is too low, then your integration with AI would be very weak. Given the limits of very low bandwidth, it’s kind of pointless. The AI is just going to go by itself, because it’s too slow to talk to. The faster the communication, the more you’ll be integrated—the slower the communication, the less. And the more separate we are—the more the AI is “other”—the more likely it is to turn on us. If the AIs are all separate, vastly more intelligent than us, how do you ensure that they don’t have optimization functions that are contrary to the best interests of humanity? … If we achieve tight symbiosis, the AI wouldn’t be “other”—it would be you and with a relationship to your cortex analogous to the relationship your cortex has with your limbic system.

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