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The new Amazon Prime Vision broadcast is awesome. They have a machine learning model that collects 300 million data points per season to highlight open receivers, predict defensive coverage, recommend plays, and more. It's a look into the future. (📹: christrapasso/TT)

3,563,823 Aufrufe • vor 2 Jahren •via X (Twitter)

10 Kommentare

Profilbild von Steven Frith
Steven Frithvor 2 Jahren

Can they maybe use some of that tech to fix the sound so it feels like there are more than 4 people in the stadium watching the game?

Profilbild von Antonio Collins
Antonio Collinsvor 2 Jahren

Yet they still use the chains for important measurements 🤦🏻‍♂️

Profilbild von Mike Sowers
Mike Sowersvor 2 Jahren

Every game should show me all 22 players.

Profilbild von Nik Sharma
Nik Sharmavor 2 Jahren

It’s like watching live football madden style!

Profilbild von Street Clothes 🧢
Street Clothes 🧢vor 2 Jahren

This technology is fully enhancing the capabilities of the Monday Morning Quarterback

Profilbild von dax
daxvor 2 Jahren

And we need this why? Leave football alone!

Profilbild von Gannon Breslin
Gannon Breslinvor 2 Jahren

This is going to change live sports betting

Profilbild von Brian Burgett
Brian Burgettvor 2 Jahren

I hate the white line of scrimmage line. Hope they change the color. It confuses the yard lines. I love Al Michaels doing the games. Feels like a big game.

Profilbild von w2truong
w2truongvor 2 Jahren

AI analytics going to take over play calling

Profilbild von Evan McPhee
Evan McPheevor 2 Jahren

@Scobleizer They slip you a $50 Amazon gift card code for this one, rock star?

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César A. Hidalgo

54,332 Aufrufe • vor 1 Jahr

The Machine That Learns The Law Behind The Data A very very interesting US Patent US10963540B2 - Physics Informed Learning Machine describes a learning system that does not begin with data alone. It begins with a physical model, usually written as a differential equation (or PDE) dx/dt = f(x,t) A normal Machine Learning model sees scattered data and tries to fit it. A physics-informed learning machine starts with a law. Then it treats the data as evidence that updates what the model believes about the physical system. For this application, I use the patent idea on NASA C-MAPSS Turbofan engine data. The machine watches multivariate telemetry from a degrading engine and infers a hidden health state that is not measured directly. From that posterior belief, it estimates the engine’s remaining useful life. In the main 3D scene, the engine lifetime is turned into a tunnel. The spiral ribbons are real sensor channels evolving over cycle-time. The glowing core is the inferred health state. The surrounding cloud is uncertainty. The orange wall ahead is the predicted failure horizon. So the big picture is: sensor evidence comes in, posterior belief tightens, and the machine moves from uncertainty toward a concrete failure prediction. The inset posteriors make that explicit. The health posterior shows where the model believes the hidden engine condition sits at the current moment, and how sharply it believes it. The RUL posterior shows the same idea for remaining life... early on it is broad, later it shifts left and narrows as the machine becomes more certain about how close failure is. This idea is not limited to engines. The same idea can apply to data centers, CPUs, GPUs, cooling systems, power grids, robotics, batteries, and any machine that produces telemetry while obeying physical constraints. In an age where machine learning runs on massive hardware infrastructure, this kind of model matters: it can turn noisy sensor streams into early warnings before expensive systems fail.

Mathelirium

17,843 Aufrufe • vor 2 Monaten

RE: Data Center purpose. In addition to building a Digital Enslavement Grid—which is obvious—I think the larger thing they're building is a Machine that predicts AND creates the future. Because a machine that can predict the future is also essentially able to create the future simply by adjusting the inputs. They're trying to make a world that's currently indeterminate & uncertain into one that's determinate & certain—through the power of modeling & simulating entire worlds and entities billions of times, and creating a Future-Making All-Seeing-Eye Super Intelligence. Cyber god. If Your Future Machine is better, faster & smarter than The Other Guy's, your future wins. If Your Cyber god is more powerful than The Other Guy's, Your vision wins. Reality becomes what you decide. You can cripple all opposition, and subdue all others beneath you. Think of the world like a giant game of chess. If Your Machine plays better chess than The Other Guy's Machine, it's checkmate for him every time. To use another analogy: think of the classic idea that a butterfly flapping its wings in one part of the world creates a storm in another part of the world. We're talking about the power to know which butterfly, and where, is needed to create said storm, when and where. And the power to defeat The Other Guy's butterfly. Unfortunately, we Americans are all "the other guy" in this scenario (along with virtually every other people in the world). And the power of the future and reality will reside with who controls The Machine, who commands Cyber god. This "Data Center" push is nothing less than building the ability to seize absolute power over the world and shape the future into whatever vision the Tech Oligarchs desire for us, and we won't be able to do anything about it. Checkmate. Right now, they're positioning the pieces. Our window is limited. We're on the clock. Thoughts? What else do you think the implications are for the hyper-massive amount of computing power they're assembling?

Sam Parker 🇺🇸🧯

41,190 Aufrufe • vor 2 Monaten

This is very alarming Housing developers are realizing that selling parcels to data center developers is far more profitable than building homes “AI data centers aren't just using electricity and water. They're using land previously planned for homes” - 55 homes were purchased for nearly $1 million per house and knocked down to build data centers outside of Chicago - Amazon paid $700 million for land so they could build a data center instead of homes - Meta, Amazon, Microsoft, and Alphabet are spending more money on data centers than the US spent on railroads in the the interstate highway system in the 1950s, and more than the US spent on the Apollo space program States are choosing data centers over homes. There are real examples of this Northern Virginia is the center of this phenomenon known as Data Center Alley, even though the region has a shortage of more than 75,000 homes I found real devastating examples of this happening: Prince William County / Bristow, Virginia (Northern Virginia “Data Center Alley”) The homebuilder Steve Alloy’s company was preparing to develop 516 new homes when surrounding land was rapidly bought up by Microsoft, Google, and other data center operators instead. Nearby, the Village Place housing project entitled for 250 additional units had its land sold to a data center developer for $31 million Stanley Martin Homes Land Flip to Amazon, Prince William County, Virginia Residential homebuilder Stanley Martin Homes assembled 270 acres for about $51 million. They flipped most of it to Amazon for $700 million In Suburban Chicago Illinois. Stream Data Centers bought a 55 home subdivision for nearly $1 million per home, demolished the houses, and built a 2.1 million sq ft data center campus This must be stopped. We have starter home affordable crisis already

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