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Best Business Crypto Accounts. Best Crypto Screeners. Cannabis Cannabis Conference. TV Watch. My Stocks. Tools Calendars. The number of customers who are now deeply deployed on AWS, deployed in the cloud, in a way that's fundamental to their business and fundamental to their success surprised me. There was a time years ago where there were not that many enterprise CEOs who were well-versed in the cloud.

It's not just about deploying technology. The conversation that I most end up having with CEOs is about organizational transformation. It is about how they can put data at the center of their decision-making in a way that most organizations have never actually done in their history. And it's about using the cloud to innovate more quickly and to drive speed into their organizations. Those are cultural characteristics, not technology characteristics, and those have organizational implications about how they organize and what teams they need to have.

It turns out that while the technology is sophisticated, deploying the technology is arguably the lesser challenge compared with how do you mold and shape the organization to best take advantage of all the benefits that the cloud is providing. How has your experience at Tableau affected AWS and how you think about putting your stamp on AWS? I, personally, have just spent almost five years deeply immersed in the world of data and analytics and business intelligence, and hopefully I learned something during that time about those topics.

I'm able to bring back a real insider's view, if you will, about where that world is heading — data, analytics, databases, machine learning, and how all those things come together, and how you really need to view what's happening with data as an end-to-end story.

It's not about having a point solution for a database or an analytic service, it's really about understanding the flow of data from when it comes into your organization all the way through the other end, where people are collaborating and sharing and making decisions based on that data.

AWS has tremendous resources devoted in all these areas. Can you talk about the intersection of data and machine learning and how you see that playing out in the next couple of years? What we're seeing is three areas really coming together: You've got databases, analytics capabilities, and machine learning, and it's sort of like a Venn diagram with a partial overlap of those three circles.

There are areas of each which are arguably still independent from each other, but there's a very large and a very powerful intersection of the three — to the point where we've actually organized inside of AWS around that and have a single leader for all of those areas to really help bring those together.

There's so much data in the world, and the amount of it continues to explode. We were saying that five years ago, and it's even more true today. The rate of growth is only accelerating. It's a huge opportunity and a huge problem. A lot of people are drowning in their data and don't know how to use it to make decisions.

Other organizations have figured out how to use these very powerful technologies to really gain insights rapidly from their data. What we're really trying to do is to look at that end-to-end journey of data and to build really compelling, powerful capabilities and services at each stop in that data journey and then…knit all that together with strong concepts like governance. By putting good governance in place about who has access to what data and where you want to be careful within those guardrails that you set up, you can then set people free to be creative and to explore all the data that's available to them.

AWS has more than services now. Have you hit the peak for that or can you sustain that growth? We're not done building yet, and I don't know when we ever will be. We continue to both release new services because customers need them and they ask us for them and, at the same time, we've put tremendous effort into adding new capabilities inside of the existing services that we've already built. We don't just build a service and move on. Inside of each of our services — you can pick any example — we're just adding new capabilities all the time.

One of our focuses now is to make sure that we're really helping customers to connect and integrate between our different services. So those kinds of capabilities — both building new services, deepening our feature set within existing services, and integrating across our services — are all really important areas that we'll continue to invest in.

Do customers still want those fundamental building blocks and to piece them together themselves, or do they just want AWS to take care of all that? There's no one-size-fits-all solution to what customers want. It is interesting, and I will say somewhat surprising to me, how much basic capabilities, such as price performance of compute, are still absolutely vital to our customers. But it's absolutely vital. Part of that is because of the size of datasets and because of the machine learning capabilities which are now being created.

They require vast amounts of compute, but nobody will be able to do that compute unless we keep dramatically improving the price performance. We also absolutely have more and more customers who want to interact with AWS at a higher level of abstraction…more at the application layer or broader solutions, and we're putting a lot of energy, a lot of resources, into a number of higher-level solutions. One of the biggest of those … is Amazon Connect, which is our contact center solution.

In minutes or hours or days, you can be up and running with a contact center in the cloud. At the beginning of the pandemic, Barclays … sent all their agents home. In something like 10 days, they got 6, agents up and running on Amazon Connect so they could continue servicing their end customers with customer service. We've built a lot of sophisticated capabilities that are machine learning-based inside of Connect. We can do call transcription, so that supervisors can help with training agents and services that extract meaning and themes out of those calls.

We don't talk about the primitive capabilities that power that, we just talk about the capabilities to transcribe calls and to extract meaning from the calls. It's really important that we provide solutions for customers at all levels of the stack. Given the economic challenges that customers are facing, how is AWS ensuring that enterprises are getting better returns on their cloud investments? Now's the time to lean into the cloud more than ever, precisely because of the uncertainty.

We saw it during the pandemic in early , and we're seeing it again now, which is, the benefits of the cloud only magnify in times of uncertainty.

For example, the one thing which many companies do in challenging economic times is to cut capital expense. For most companies, the cloud represents operating expense, not capital expense. You're not buying servers, you're basically paying per unit of time or unit of storage. That provides tremendous flexibility for many companies who just don't have the CapEx in their budgets to still be able to get important, innovation-driving projects done.

Another huge benefit of the cloud is the flexibility that it provides — the elasticity, the ability to dramatically raise or dramatically shrink the amount of resources that are consumed.

You can only imagine if a company was in their own data centers, how hard that would have been to grow that quickly. The ability to dramatically grow or dramatically shrink your IT spend essentially is a unique feature of the cloud. These kinds of challenging times are exactly when you want to prepare yourself to be the innovators … to reinvigorate and reinvest and drive growth forward again.

We've seen so many customers who have prepared themselves, are using AWS, and then when a challenge hits, are actually able to accelerate because they've got competitors who are not as prepared, or there's a new opportunity that they spot. We see a lot of customers actually leaning into their cloud journeys during these uncertain economic times.

Do you still push multi-year contracts, and when there's times like this, do customers have the ability to renegotiate? Many are rapidly accelerating their journey to the cloud. Some customers are doing some belt-tightening. What we see a lot of is folks just being really focused on optimizing their resources, making sure that they're shutting down resources which they're not consuming. You do see some discretionary projects which are being not canceled, but pushed out. Every customer is free to make that choice.

But of course, many of our larger customers want to make longer-term commitments, want to have a deeper relationship with us, want the economics that come with that commitment. We're signing more long-term commitments than ever these days. We provide incredible value for our customers, which is what they care about. That kind of analysis would not be feasible, you wouldn't even be able to do that for most companies, on their own premises.

So some of these workloads just become better, become very powerful cost-savings mechanisms, really only possible with advanced analytics that you can run in the cloud. In other cases, just the fact that we have things like our Graviton processors and … run such large capabilities across multiple customers, our use of resources is so much more efficient than others. We are of significant enough scale that we, of course, have good purchasing economics of things like bandwidth and energy and so forth.

So, in general, there's significant cost savings by running on AWS, and that's what our customers are focused on. The margins of our business are going to … fluctuate up and down quarter to quarter. It will depend on what capital projects we've spent on that quarter.

Obviously, energy prices are high at the moment, and so there are some quarters that are puts, other quarters there are takes. The important thing for our customers is the value we provide them compared to what they're used to. And those benefits have been dramatic for years, as evidenced by the customers' adoption of AWS and the fact that we're still growing at the rate we are given the size business that we are.

That adoption speaks louder than any other voice. Do you anticipate a higher percentage of customer workloads moving back on premises than you maybe would have three years ago? Absolutely not. We're a big enough business, if you asked me have you ever seen X, I could probably find one of anything, but the absolute dominant trend is customers dramatically accelerating their move to the cloud.

Moving internal enterprise IT workloads like SAP to the cloud, that's a big trend. Creating new analytics capabilities that many times didn't even exist before and running those in the cloud. More startups than ever are building innovative new businesses in AWS. Our public-sector business continues to grow, serving both federal as well as state and local and educational institutions around the world.

It really is still day one. The opportunity is still very much in front of us, very much in front of our customers, and they continue to see that opportunity and to move rapidly to the cloud. In general, when we look across our worldwide customer base, we see time after time that the most innovation and the most efficient cost structure happens when customers choose one provider, when they're running predominantly on AWS.

A lot of benefits of scale for our customers, including the expertise that they develop on learning one stack and really getting expert, rather than dividing up their expertise and having to go back to basics on the next parallel stack. That being said, many customers are in a hybrid state, where they run IT in different environments. In some cases, that's by choice; in other cases, it's due to acquisitions, like buying companies and inherited technology.

We understand and embrace the fact that it's a messy world in IT, and that many of our customers for years are going to have some of their resources on premises, some on AWS. Some may have resources that run in other clouds. We want to make that entire hybrid environment as easy and as powerful for customers as possible, so we've actually invested and continue to invest very heavily in these hybrid capabilities. A lot of customers are using containerized workloads now, and one of the big container technologies is Kubernetes.

We have a managed Kubernetes service, Elastic Kubernetes Service, and we have a … distribution of Kubernetes Amazon EKS Distro that customers can take and run on their own premises and even use to boot up resources in another public cloud and have all that be done in a consistent fashion and be able to observe and manage across all those environments.

So we're very committed to providing hybrid capabilities, including running on premises, including running in other clouds, and making the world as easy and as cost-efficient as possible for customers. Can you talk about why you brought Dilip Kumar, who was Amazon's vice president of physical retail and tech, into AWS as vice president applications and how that will play out?

He's a longtime, tenured Amazonian with many, many different roles — important roles — in the company over a many-year period. Dilip has come over to AWS to report directly to me, running an applications group. We do have more and more customers who want to interact with the cloud at a higher level — higher up the stack or more on the application layer.

We talked about Connect, our contact center solution, and we've also built services specifically for the healthcare industry like a data lake for healthcare records called Amazon HealthLake. We've built a lot of industrial services like IoT services for industrial settings, for example, to monitor industrial equipment to understand when it needs preventive maintenance.

We have a lot of capabilities we're building that are either for … horizontal use cases like Amazon Connect or industry verticals like automotive, healthcare, financial services. We see more and more demand for those, and Dilip has come in to really coalesce a lot of teams' capabilities, who will be focusing on those areas.

You can expect to see us invest significantly in those areas and to come out with some really exciting innovations. Would that include going into CRM or ERP or other higher-level, run-your-business applications? I don't think we have immediate plans in those particular areas, but as we've always said, we're going to be completely guided by our customers, and we'll go where our customers tell us it's most important to go next. It's always been our north star. Correction: This story was updated Nov.

Bennett Richardson bennettrich is the president of Protocol. Prior to joining Protocol in , Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group.

Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB. Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University.

Prior to joining Protocol in , he worked on the business desk at The New York Times, where he edited the DealBook newsletter and wrote Bits, the weekly tech newsletter. He has previously worked at MIT Technology Review, Gizmodo, and New Scientist, and has held lectureships at the University of Oxford and Imperial College London. He also holds a doctorate in engineering from the University of Oxford.

We launched Protocol in February to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication. As of today, we will not publish any more stories. All of our newsletters, apart from our flagship, Source Code, will no longer be sent. Source Code will be published and sent for the next few weeks, but it will also close down in December. Building this publication has not been easy; as with any small startup organization, it has often been chaotic.

But it has also been hugely fulfilling for those involved. We could not be prouder of, or more grateful to, the team we have assembled here over the last three years to build the publication. They are an inspirational group of people who have gone above and beyond, week after week.

Today, we thank them deeply for all the work they have done. We also thank you, our readers, for subscribing to our newsletters and reading our stories. We hope you have enjoyed our work. As companies expand their use of AI beyond running just a few machine learning models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

As companies expand their use of AI beyond running just a few machine learning models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems. Kate Kaye is an award-winning multimedia reporter digging deep and telling print, digital and audio stories. She covers AI and data for Protocol.

Her reporting on AI and tech ethics issues has been published in OneZero, Fast Company, MIT Technology Review, CityLab, Ad Age and Digiday and heard on NPR. Kate is the creator of RedTailMedia. org and is the author of "Campaign ' A Turning Point for Digital Media," a book about how the presidential campaigns used digital media and data.

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. And he said that while some MLops systems can manage a larger number of models, they might not have desired features such as robust data visualization capabilities or the ability to work on premises rather than in cloud environments.

As companies expand their use of AI beyond running just a few ML models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, many machine learning practitioners Protocol interviewed for this story say that they have yet to find what they need from prepackaged MLops systems. Companies hawking MLops platforms for building and managing machine learning models include tech giants like Amazon, Google, Microsoft, and IBM and lesser-known vendors such as Comet, Cloudera, DataRobot, and Domino Data Lab.

It's actually a complex problem. Intuit also has constructed its own systems for building and monitoring the immense number of ML models it has in production, including models that are customized for each of its QuickBooks software customers. The model must recognize those distinctions. For instance, Hollman said the company built an ML feature management platform from the ground up. For companies that have been forced to go DIY, building these platforms themselves does not always require forging parts from raw materials.

DBS has incorporated open-source tools for coding and application security purposes such as Nexus, Jenkins, Bitbucket, and Confluence to ensure the smooth integration and delivery of ML models, Gupta said. Intuit has also used open-source tools or components sold by vendors to improve existing in-house systems or solve a particular problem, Hollman said. However, he emphasized the need to be selective about which route to take.

I think that the best AI will be a build plus buy. However, creating consistency through the ML lifecycle from model training to deployment to monitoring becomes increasingly difficult as companies cobble together open-source or vendor-built machine learning components, said John Thomas, vice president and distinguished engineer at IBM. The reality is most people are not there, so you have a whole bunch of different tools.

Companies struggling to find suitable off-the-shelf MLops platforms are up against another major challenge, too: finding engineering talent. Many companies do not have software engineers on staff with the level of expertise necessary to architect systems that can handle large numbers of models or accommodate millions of split-second decision requests, said Abhishek Gupta, founder and principal researcher at Montreal AI Ethics Institute and senior responsible AI leader and expert at Boston Consulting Group.

For one thing, smaller companies are competing for talent against big tech firms that offer higher salaries and better resources. For companies with less-advanced AI operations, shopping at the existing MLops platform marketplace may be good enough, Hollman said. To give you the best possible experience, this site uses cookies. If you continue browsing. you accept our use of cookies. You can review our privacy policy to find out more about the cookies we use. Workplace Enterprise Fintech China Policy Newsletters Braintrust Podcast Events Careers About Us.

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As electronic technology continues to rush forward, MAME prevents this important "vintage" software from being lost and forgotten. This is achieved by documenting the hardware and how it functions. The source code to MAME serves as this documentation. The fact that the software is usable serves primarily to validate the accuracy of the documentation how else can you prove that you have recreated the hardware faithfully? Over time, MAME originally stood for Multiple Arcade Machine Emulator absorbed the sister-project MESS Multi Emulator Super System , so MAME now documents a wide variety of mostly vintage computers, video game consoles and calculators, in addition to the arcade video games that were its initial focus.

The MAME project as a whole is distributed under the terms of the GNU General Public License, 2 GPL Please note that MAME is a registered trademark of Gregory Ember, and permission is required to use the "MAME" name, logo or wordmark. On the arcade side, the third and fourth player positions are supported in NBA Play By Play, and lots of regional variants have been added for games running on Hornet hardware. com title in the same series. MSX computer emulation has had a major overhaul, with more supported systems and peripherals, including lots of cartridge port floppy drives.

As a bonus, the Fujitsu FM Towns family gained support for more controllers, including the Marty Pad and the twin-stick Libble Rabble joypad. Hard disk issues affecting the FM Towns family were also tracked down and fixed.

Atari 8-bit computer cartridge emulation has been modernised, and a few more unlicensed Game Boy cartridges are supported you can now play some very famous unauthorised translations in MAME. The Quantel DPB is looking much better, with lots of progress on video output and peripheral support. Support for Italian versions of Quizard has been added, and German versions of Quizard 3 and Quizard 4 Rainbow are now working, as well as a Czech version of Quizard 4 Rainbow.

Other improvements include lots of fixes for invalid memory accesses, function keys for the Franklin Ace Apple II clone computers, proper DIP switch labels for Nintendo Vs. Mahjong, and much, much more. You can read about all the changes this month in the whatsnew. txt file , and you can download the source code and bit Windows binary packages from the download page.

After a whirlwind four weeks of development, MAME 0. Highlights this month include improved Atari 8-bit family emulation, a newer version of Kyukyoku Tiger with a two-player cooperative mode, another version of The Crystal Maze promoted to working, and lots of prototype cartridge dumps for consoles including the Atari Lynx, Nintendo Game Boy and Super Nintendo Entertainment System.

There are also eight e-kara cartridges, including a rare e-kara Web cartridge containing twelve youth-oriented songs. The modernisation of Apple II and Macintosh emulation is progressing steadily. Brian Johnson has added some hard disk and sound cards for the Epson QX and improved the keyboard support. Thanks to holub, MAME now emulates the ZX Evolution: BASECONF, another successor to the Sinclair ZX Spectrum. All the little fixes and newly supported features this month add up to make this a must-have release.

txt file. As always, you can download the source and bit Windows binary packages from the download page. It must be that time of month again — time for MAME 0.

The Hartung Game Master was one of several hand-held game consoles positioned as low-cost alternatives to the Nintendo Game Boy. It was notable for its somewhat unconventional choice of an NEC µPD78C11 CPU, its low screen resolution, and the poor quality of its software library. And now, for the first time, you can relive the disappointment of all eighteen games released for the system in emulation! Still on the topic of Nintendo, MAME now emulates the earliest version of the RP2A03 audio processing unit, used on arcade boards as well as early production runs of the Famicom console.

Several games play sounds incorrectly with the later RP2A03G used in the NES and the majority of Famicom consoles. Several issues with Famicom peripherals have been fixed, too. You can read about all the exciting development this month in the whatsnew. txt file , or download the source and bit Windows binary packages from the download page.

This is a huge release, and should have something for everyone! System and PlayChoice Several ZX Spectrum derivatives from the Eastern Bloc are in better shape.

The Atari POKEY sounds better. The PC Engine pachinko controller from Coconuts Japan is now supported. The stream of prototype cartridges is still flowing, with a number of Atari , Game Boy Color, NES, and Super NES additions landing this month. The new VGMPlay music rips include music from the recently-emulated Poly-Net Warriors arcade game.

Just in time for the end of July, MAME 0. The biggest upheaval this month was the reorganisation of the source code to match the project structure. Apart from that, it should be transparent to users, while simplifying life for developers. Several audio issues have been fixed this month, including a big overhaul for Fairlight CMI IIx synthesiser channel card emulation, and DAC sound for JPM Lucky Casino fruit machines.

The latest enhancements for the crt-geom and crt-geom-deluxe shaders have been belatedly integrated, and the Chinese and Brazilian Portuguese user interface translations are once again up-to-date and complete. Software list updates this month include more prototype console cartridges, half a dozen newly dumped e-kara cartridges, and quite a few metadata cleanups and corrections, as well as the usual batches of Apple II floppies, Commodore 64 tapes and vgmplay music rips.

You can read all the details about development activity this month in the whatsnew. Until next time, happy MAMEing! The highly-anticipated release of MAME 0. Input options have been moved off the main menu to a submenu of their own. Megumi Rescue was exhibited at a trade show, but apparently never sold as an arcade game.

A home system port was released, but only in Japan. The original arcade game uses a vertically-oriented monitor, and lacks the life bar system and vertical scrolling found in the home version. Despite the arcade version remaining unreleased, and the home version never being widespread, the game was widely copied for TV game systems.

Marble Madness II was considered a failure on location test. A few examples survived in the hands of collectors, but the game was never seen widely.

Polygonet Commanders was added to MAME almost twenty years ago, and saw sporadic progress for a few years after that. Regular contributor Ryan Holtz has written an engaging blog post about his adventures bringing it up to a playable state this month.

The Macintosh Display card, which MAME uses by default for the Mac II, now supports configuring the amount of video RAM installed, as well as a selection of monitors with correct resolutions, refresh rates and colour profiles. Virtual desktop panning and desktop zoom are hardware-accelerated.

The Spectrum PDQ supports resolutions up to ×, with hardware acceleration for things like moving windows in colour modes. Thanks in large part to the efforts of Ignacio Prini and Manuel Gomez Amate, the ZX Spectrum cassette software list now includes the Spanish MicroHobby magazine cover tape and type-in program collection.

A number of prototypes cartridges have been added for the Game Boy, Super NES and other consoles. Commodore 64 tapes, Apple II floppies, and game music rips in VGM format have each seen a batch of additions. txt file , or grab a source or bit Windows binary package from the download page. Given how many exciting updates have gone into MAME 0. Only one disk has been added to the Apple II software lists, but it comes with a very engaging story involving physically damaged media and manual data repairs.

The Zilog Z80 CPU has had a bit of an overhaul this month, allowing more accurate memory access timings for the ZX Spectrum family. This fixes a lot of broken visual effects and other glitches.

Four games are now playable, albeit with minimal internal artwork. SDL builds the default for Linux and macOS now detect game controller reconnection. Note that due to limitations of SDL itself, MAME may confuse similar controllers, potentially causing issues if multiple controllers are disconnected at the same time.

Issues using MIDI input or output with bit Windows builds should be fixed. As always, the source and bit Windows binary packages are available from the download page.

Copyright © Toggle navigation dev. Information About History Legal Logo Contact Resources Downloads Latest Release Previous Releases ROMs Documentation MAME Documentation MAMEdev Wiki Frequently Asked Questions Emulated System Guides Community Official Forums Support Forum Chat on IRC MAME on Twitter MAME on Facebook MAME on imgur MAME on Instagram Development MAME on GitHub Compiling MAME Technical Specifications Browse Source Code Development Tools Search.

Welcome to The Official Site of the MAME Development Team What is MAME? MAME is a multi-purpose emulation framework. Supported Platforms. MAME 0. Read the rest of this entry ». This version was presumably poorly received due to the need for an expensive dedicated cabinet.

An initial driver for second-generation Sony NEWS workstations based on MIPS processors. The Dracula and Game Pachinko — two Tsukuda hand-held games with vacuum fluorescent displays.

Micom Mahjong — an example of an early CPU-based TV game, and possibly the first dedicated electronic mahjong system. Three new Casio synthesisers. Several Impera Magic Card games. A few Astro Corp. gambling games, including Dino Dino, Magic Bomb, Stone Age, and Zoo.

A team effort to fix some performance bottlenecks, particularly affecting the IGS PolyGame Master. SD Card reader support for Acorn computers from Ramtop and our very own Nigel Barnes. Working light gun inputs for Rapid Fire not that anyone wants to play it. Fixes for more glitches in the ZX Spectrum family from holub. Major improvements to several IGS games from Luca Elia.

Prior to joining Protocol in , Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Profession What is your profession? Digital Securities. A number of prototypes cartridges have been added for the Game Boy, Super NES and other consoles. Some of these revenues would support increased state regulatory and enforcement costs that could reach the low tens of millions of dollars annually. In other cases, just the fact that we have things like our Graviton processors and … run such large capabilities across multiple customers, our use of resources is so much more efficient than others.

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