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Seattle Seahawks’ deep dive into analytics begins with a ‘knowledge lake’ constructed by Amazon Net Companies

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Seattle Seahawks quarterback Russell Wilson. (GeekWire File Picture / Kevin Lisota)

It’s stylish today to show to sports activities knowledge analytics for a deep dive into how a crew is about as much as compete and what metrics take advantage of sense for a way gamers carry out in a recreation. For the Seattle Seahawks, that dive begins with a “knowledge lake” constructed with Amazon Net Companies.

A knowledge lake is a “centralized repository that permits organizations to retailer, govern, uncover, and share all of their structured and unstructured knowledge at any scale,” says Werner Vogels, chief know-how officer at Amazon and author of a new blog post that ought to make any soccer fan geek out far past the X’s and O’s of typical analytics.

Amazon expanded its partnership with the NFL when it secured a cope with the Seahawks final 12 months to grow to be the crew’s official cloud providers supplier.

Vogels, a fútbol fan at coronary heart, has a rising ardour for American soccer primarily due to the way in which know-how is impacting the game’s development and the way the Seahawks most notably are on the forefront of adopting new tech akin to machine studying, web of issues and serverless structure to make enhancements from participant security to efficiency on the sector.

All of it begins with knowledge, Vogel writes, and the impression is felt throughout plenty of key areas associated to the crew:

  • Expertise analysis and acquisition: Conventional scouting is supplemented with AWS analytics because the Seahawks gather knowledge akin to the scale of the varsity a participant comes from, place they play, and roles they’ve performed inside that school crew’s type of play. Together with knowledge in regards to the Seahawks, together with their type of play and present gamers on the crew, an ML mannequin evaluates whether or not or not a participant is an efficient match. The modeling is used in the course of the NFL draft and in free company.
  • Participant well being and restoration occasions: Every participant receives an preliminary baseline well being evaluation, and the crew collects ongoing details about gamers, like exertion degree, pattern of reps in apply, explosive actions, how usually they work out, and extra. Monitoring this knowledge permits the Seahawks to maximise a participant’s beneficial properties, scale back gentle tissue accidents, and higher perceive their load from apply to video games. With the information lake on AWS, the knowledge is extra simply accessible in a single place.
  • Sport planning: Video evaluation is essential to the prep work that goes into analyzing expertise or preparing for an opponent. The Seahawks have labored with the Amazon Machine Studying Options Lab to construct customized ML fashions that routinely establish gamers on the sector and the kind of play. Seahawks knowledge scientists can load performs from a participant’s profession and see what they’ve been most profitable doing, which might assist combine that participant into sure schemes and maximize their outcomes quicker than earlier than.

It’s debatable how a lot all of this tech and knowledge really equates to wins. Whereas we all know, as we’ve heard someplace, that the separation is within the preparation, few followers will probably be wishing for higher knowledge evaluation if the Seahawks don’t simply come out and win with the human expertise assembled.

However so far as Vogels is worried, you don’t must fish far for solutions as to why the crew is tied for first place within the NFC West — the Seahawks are “aided by the entire meticulous preparation put into each recreation day, a few of which is coming straight from this knowledge lake.”

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On October 25, Apple will release iOS 15.1 and iPadOS 15.1. What we know so far

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Apple released important updates for iOS 15 and iPadOS 15 on Tuesday, to address several issues and a severe security hole affecting the two platforms. Now, according to reports, Apple is working on iOS 15.1 and iPadOS 15.1 builds for iPhone, iPod touch, and iPads.

Also, Twitter user named RobertCFO received confirmation from an Apple Product Security Team member about the final build’s release date. On October 25th, according to a leaked email that was then deleted from Twitter, iOS 15.1 and iPadOS 15.1 will be released, a week after Apple holds its conference.

This follows Apple’s general software upgrade policy, which is to release new updates a week after its events.

SharePlay, which allows you to remotely watch and listen to streaming material with your friends via FaceTime, ProRes video support, as well as Covid-19 vaccination document support in the Wallet app, are all expected features of iOS 15.1.

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PSA: Mining Chia on an SSD Will Completely Wreck It in No Time Flat

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When SSDs first started transport in shopper merchandise, there have been comprehensible issues about their longevity. Time, steadily enhancing manufacturing methods, and a few low-level OS enhancements have all contributed to solid-state storage’s popularity for sturdiness. With experiences praising SSDs as provisionally extra dependable than arduous drives even beneath heavy utilization, it’s straightforward to see how individuals may not see the brand new Chia cryptocurrency as a serious trigger for concern.

It’s. Chia is first plotted after which farmed, and whereas farming Chia takes little or no in the way in which of processing sources, plotting it should completely hammer an SSD.

It’s been years since we talked about write amplification, but it surely’s a difficulty that impacts all NAND flash storage. NAND is written in 4KB pages and erased in 256KB blocks. If 8KB of information must be changed out of a 256KB block, the drive might want to learn the unique 256KB block, replace it, write the brand new block to a unique location on the drive, after which erase the earlier block.

Write amplification has been an issue for NAND for the reason that starting and a substantial amount of work has gone into addressing these issues, however Chia represents one thing of a worst-case situation. Right here’s an excerpt from a latest Chia blog post:

Producing plot recordsdata is a course of known as plotting, which requires short-term space for storing, compute and reminiscence to create, kind, and compress the information into the ultimate file. This course of takes an estimated 256.6GB of short-term house, very generally saved on SSDs to hurry up the method, and roughly 1.3TiB of writes in the course of the creation.

The ultimate plot created by the method described above is simply 101.3GB. There seems to be an order of magnitude of distinction between the full quantity of drive writes required to create a Chia plot and the storage capability mentioned plot requires when accomplished.

Motherboard producers have gotten in on the motion, with one Chia-compliant board providing 32 SATA backplanes.

Right here’s what this boils right down to: A number of shopper SSDs are actually unhealthy decisions for mining Chia. TLC drives with SLC / MLC caches will not be really useful as a result of they provide poor efficiency. Low-end and midrange shopper drives will not be really useful, as a result of they don’t provide excessive sufficient endurance. It’s important to watch out through which SKUs you buy and enterprise and enterprise drives are extra extremely really useful normally.

Don’t purchase a QLC drive to mine Chia.

Optane would appear to be a near-perfect match for Chia, given its a lot greater endurance, however I can’t discover any data on whether or not individuals have tried deploying it in massive sufficient numbers to have some concept of what efficiency and endurance seem like beneath the 24/7 load Chia plotters are placing on their hardware. Possibly any individual will put a rig collectively utilizing it, as a lot out of curiosity as the rest.

Past that, ExtremeTech recommends customers not try and plot Chia on any SSD they aren’t snug with dropping, and to not purchase an SSD for the aim until you don’t thoughts throwing it away if it dies far more rapidly than anticipated. Chia plotting is a worst-case situation for SSD longevity and it needs to be handled as such.

One notice of fine information: To this point, Chia mining has had a a lot stronger affect on high-capacity arduous drive costs than on SSDs and smaller drives. Hopefully, this continues to be the case.

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Microsoft adapts OpenAI’s GPT-Three pure language expertise to mechanically write code

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Microsoft CEO Satya Nadella introduces the brand new GPT-Three integration into Energy Apps in a recorded keynote tackle for the corporate’s digital Construct convention.

Microsoft unveiled new tools for automatically generating computer code and formulation on Tuesday morning, in a brand new adaptation of the GPT-Three natural-language expertise extra generally identified for replicating human language.

The aptitude, to be supplied as a part of Microsoft’s Power Platform, is among the fruits of the corporate’s partnership with OpenAI, the San Francisco-based synthetic intelligence firm behind GPT-Three. Microsoft invested $1 billion in OpenAI in 2019.

“The code writes itself,” stated Microsoft CEO Satya Nadella, saying the information in a recorded keynote tackle to open the corporate’s Build developer conference.

The characteristic is named Power Apps Ideas. It’s a part of a broader push by Microsoft and different expertise corporations to make software program growth extra accessible to non-developers, often called low-code or no-code growth.

Microsoft fine-tuned GPT-Three to “leverage the mannequin’s current strengths in pure language enter to offer Energy Apps makers the power to explain logic similar to they’d to a good friend or co-worker, and find yourself with the suitable system for his or her app,” says Ryan Cunningham of the Energy Apps staff in a publish describing the way it works.

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