Podcasts about machine language

Software-defined manufacturing (SDM)offers a way to organizations to better orchestrate work between man and machine and kickstart the long game of effective technology investment to future-proof IT and OT operations. It has the potential to help manufacturers address challenges, satisfy customer needs and create competitive advantage. In this episode of Machine Language, Tim Gaus, Smart Manufacturing Leader at Deloitte, joins us to discuss how software-defined manufacturing can be a game changer. He explains why Software-Defined Manufacturing (SDM) is gaining traction in the manufacturing industry, how it helps manufacturers create smart factories, its key benefits, how it can address long-term issues such as supply chain challenges and more.

There are different types of maintenance strategies for a manufacturing facility. Predictive maintenance is a condition-based type of strategy, focused on implementing IoT sensors that read data at all times, enabling an intelligent data acquisition that helps address the issue of having a maintenance worker onsite to monitor or read specific data out of a machine. Industries are looking to implement IIoT strategies through data acquisition, cloud monitoring and big data. In this episode of Machine Language, Juan Carlos Garcia from Omron Automation joins us to discuss how predictive Maintenance helps address the initial stages of moving towards IIoT by acquiring data. We discuss role of IoT sensors in predictive maintenance, communication protocols, the concept of on-the-go analytics, examples where predictive maintenance has led to significant cost and time savings, how predictive maintenance acts as a crucial stepping stone for industries looking to implement IIoT strategies, and more.

When you use the term “data scientist” you normally think of an inarticulate introvert who is dazzled by numbers and has week social skills.  Well, this interview with Aaron Pujanandez from Excella may change the preconception.  We start off with referencing an article from the Harvard Business Journal from 2012.  This was probably a conceit eleven years ago, but in the last decade we have seen cheap storage, available compute, and ubiquitous fast Internet.  Perhaps the title is getting closer to the truth. We begin the interview with having Aaron differentiate “data analyst” from “data scientist.”  Many common themes including Python and being part of a team.  From Aaron's view, a data analyst may be charged with providing a visual depiction of data elements where a data scientist may delve into mor advanced topics like subtleties of Extract, Transform, Load, Machine Language, and code review.  One of the challenges faced by federal information professionals is the volume of data to ingest.  During the interview, Aaron talked about many of the aspects of selecting data and making sure it is safe in transit. Aaron provides the listener with his thoughts on selecting the right data, data quality, handling large volumes of data, data access and, finally, the all-important concept of being able to communicate findings to non-technical stakeholders. There are no silver bullets here – just an opportunity to approach large data sets and artificial intelligence from a perspective that will give actionable results. Follow John Gilroy on Twitter @RayGilray Follow John Gilroy on LinkedIn  https://www.linkedin.com/in/john-gilroy/ Listen to past episodes of Federal Tech Podcast  www.federaltechpodcast.com      

About my tumultuous week and how wonderful Mary Robinette Kowal is. Also, by request, an explanation of what AI is and isn't, and what it has to do with writing stories and creating art.Join my Patreon and Discord for mentoring, coaching, and conversation with me! Find it at https://www.patreon.com/JeffesClosetROGUE FAMILIAR out now! https://jeffekennedy.com/rogue-familiar The Audiobook is also out here https://www.audible.com/pd/Rogue-Familiar-Audiobook/B0CB1Y9B7Q?source_code=AUDFPWS0223189MWT-BK-ACX0-357495&ref=acx_bty_BK_ACX0_357495_rh_usRead the Falling Under books  in Kindle Unlimited! https://www.amazon.com/gp/product/B0C1ZMDW1YIf you want to support me and the podcast, click on the little heart or follow this link (https://www.paypal.com/paypalme/jeffekennedy).Sign up for my newsletter here! (https://landing.mailerlite.com/webforms/landing/r2y4b9)You can watch this podcast on YouTube here https://youtu.be/ssFN82taD00Support the showContact Jeffe!Tweet me at @JeffeKennedyVisit my website https://jeffekennedy.comFollow me on Amazon or BookBubSign up for my Newsletter!Find me on Instagram and TikTok!Thanks for listening!

Future automation systems need to be more intelligent and interconnected. An advanced control platform to create an environment that integrates logic, motion and drives, robotics, safety, visualization, sensing and information technologies in a single project, could drastically reduce the learning curve and the intra-operative software costs. Thomas Kuckhoff from Omron Automation joins us for this episode of Machine Language to discuss advanced system control platforms and their role in improving efficiencies in a discrete manufacturing setting. Thomas Kuckhoff has pioneered the design and performance of innovative products across business portfolios in industrial automation. His current role at Omron Automation is to lead the automation and controller business as product manager for the Americas. While Kuckhoff's role is product manager, his passion is to grow his team to achieve world-class results as a respective and inclusive collective.

Just like parents, machines just don't understand. At least, not without first compiling data into 0s and 1s. So how can systems like ChatGPT seemingly understand what we want and present results? We take a look at natural language processing and how it can create the illusion of comprehension.See omnystudio.com/listener for privacy information.

Machine Language by Annex Business Media

Ed Choom tries to be everything to everyone and Charlotte finally remembers to do her job.  Written and Created by Jeremy Ellett. CAST: Charlie Wes as Ed Choom Zane Schacht as Randy Dunning Lauren Grace Thompson as Gayle Kruger Jack Carmichael as The Narrator Lindsay Zana as Camille Danyelle Ellett as Destiny Jordan Stillman as Judy Michelle Kelly as Charlotte Phil Sherwood as Jay Kale Brown as Jimmie Kristian Lawrence as Neil Jessa Jordan as Tasha Mike Paul as the Worshipful Master Mason Actor Direction by Danyelle Ellett This episode included the songs Social Kapital, U Think U, Ode to a Dandelion and Tick-Tock by Glad Rags. Nettle Swarm by Randy Greer. Breakfast by Damian Baldano. HappyFBirthday by The Danimald. And a short sample from Machine Language by Mystery Mammal.  Episode Transcripts Good Pointe is independent, underfunded and fueled by caffeine. If you enjoyed the show you can easily help us out in a big way by leaving us a one-time tip in our tip jar on our Ko-Fi page. Want to help Good Pointe make more weird Audio Fiction? Consider becoming a Patron at Patreon.com/goodpointe.  For All Business Inquiries, contact Jeremy at: info@goodpointepodcasts.com Post Show Promo Trailer: Hit The Bricks

The Canadian manufacturing industry is facing unprecedented challenges. IIOT solutions can prove to be of great help in speeding up the recovery process and equipping manufacturers with the tools to grow further. Bassam Zarkout, chair of the digital transformation working group at the Industry IoT Consortium joins Manufacturing AUTOMATION for this episode of Machine Language to discuss how IIOT solutions can help Canadian manufacturers stay competitive even in trying times.

Lauren Tedesco, senior vice-president at the Automotive Parts Manufacturers' Association or APMA joins as the guest for this episode of Machine Language. Tedesco discusses APMA's Digital Learning Program. She explains how this program benefits the workforce in the auto parts manufacturing space by offering certification and courses that can be pursued without any time constraints. She talks about who can participate, how they can do so and the program's role in strengthening the automotive manufacturing sector.

Subscribe to the channel : @muhammadanway Android App - https://play.google.com/store/apps/details?id=com.nurmuhammad.muhammadanway IPhone App - https://itunes.apple.com/us/app/muhammadan-way/id1244297852?mt=8 Facebook - www.facebook.com/shaykhnurjanmirahmadi Donate - www.nurmuhammad.com/donate Website - nurmuhammad.com TV Show - www.huberasul.net The Noble Naqshbandi Order proudly presents the ancient Islamic teaching and realities of the Prophetic Kingdom. Known as the Muhammadan Reality Mawlana Shaykh Hisham Al Qabbani Representing the Sultan al Awliya of The Naqshbandiyya Order Mawlana Shaykh Muhammad Nazim al Haqqani Shaykh Sayed Nurjan MirAhmadi student of the way The Seekers of The Heart, The Lovers of the Prophetic Reality As ancient as time itself, seek to be a servant of the light and lovers. Naqshbandi, Qadiri, Chistiyya, Shadiliya, Rifai, Inyat Khan, Alawi and many more All are the Muhammadan Representatives to Creation nurmuhammad.com is pleased to present the Muhammadan TV. Network Donations https://www.nurmuhammad.com/donate to support These works nurmuhammad.com/ Shaykh sayed nurjan mirahmadi

This episode of Machine Language features an interview with Melonee Wise, CEO of Fetch Robotics, who discusses key features of the new ANSI standard for industrial mobile robots. Wise discusses what R15.08 means for mobile robot manufacturers, end users and the market, plus misconceptions about mobile robot safety.

This special episode of Machine Language celebrates International Women’s Day on March 8 by focusing on some of the challenges and opportunities for women in the sector. Jenan Abderrahman, an engineer and part-time robotics teacher, discusses her work in engineering, process control and automation, the challenges she's faced along the way, and the role she currently plays in getting kids and young women interested in robotics and science.

This episode of Machine Language features an interview with Mihaela Vlasea, an assistant professor at the University of Waterloo in the Multi-Scale Additive Manufacturing Laboratory, and Diana Facchini, team leader at the National Research Council in Mississauga, Ont. They discuss a new seven-year research partnership aimed at reducing the cost of metal additive manufacturing for manufacturers, and walk through the challenges and benefits of the production with 3D printing.

This episode of Machine Language features an interview with Dana Parmenter, vice-president, industrial at CSA Group, which recently opened a dedicated lab in Toronto for manufacturers to get personal protective equipment (PPE) tested and certified by CSA for sale in Canada. Parmenter discusses why Canada needed its own PPE testing facility, the process for manufacturers to certify their PPE and things manufacturers should keep in mind as they ready their products for certification.

This episode of Machine Language features an interview with Francois Simard, co-founder of Omnirobotic, a Quebec-based start-up that has developed technology to give vision to industrial robots using artificial intelligence. We discuss the use of AI in the robotics space, and how companies looking to automate for high-mix, low-volume custom manufacturing processes will benefit from this made-in-Canada solution.

This episode of Machine Language features an interview with Michelle Chrétien, director of the Centre for Advanced Manufacturing and Design Technologies at Sheridan College, which connects SMEs with manufacturing partners and students to advance industry projects. She discusses innovation in automation, how post-secondary institutions can play a valuable role in ideating, testing and developing new concepts, and provides some key tips on how to establish partnerships.

This episode of Machine Language features an interview with Sundeep Ravande, CEO of Innovapptive Inc. Ravande discusses how the proliferation of technologies such as the cloud, wearables, AI and machine learning will result in “the connected worker.” We explore the business challenges of communication in factories, how the COVID-19 era has affected standard operating procedures – and what can be done to move your machines into Industry 4.0 without forgetting your plant’s most valuable asset – its workforce.

This episode of Machine Language features an interview with Jonathan Gross, managing director of Pemeco Consulting. We discuss how the pandemic is necessitating digital transformation projects, what short-term changes manufacturers can make as they work on developing long-term digitalization plans that incorporate automation, software, and supply chain needs, and how to pay for it all.

This episode of Machine Language features an interview with Andre Vittorio, president and founder of Idealogical Systems Inc., a Toronto-area IT services provider for manufacturers. We discuss the rise in cybercrime during COVID-19, the weakest links in factory networks, the steps manufacturers need to take to make threat detection part of their network architecture, and new technologies that SMEs should be aware of when it comes to cybersecurity.

The debut episode of Machine Language features an interview with Shelley Fellows, chair of Automate Canada, and Mike Bilton, chair of the Canadian Association of Mold Makers. The sister associations have been working together to assess the impacts of COVID-19 on the mold, tool and die, and industrial automation sectors through weekly surveys of their members. Fellows and Bilton discuss some of the major concerns brought forth by manufacturers, and some unexpected positive impacts of the coronavirus crisis. They also highlight health and safety best practices, and dig in to how Industry 4.0 technologies will help manufacturers become more resilient long-term.

Azizi Seixas, PhD

Azizi Seixas, PhD

Technology is always improving and now the FDA has approved a new x=ray technology that can save lives and it is using some machine-language algorithms to do it.  Want to know more... listen in For more tech tips, news, and updates visit - CraigPeterson.com --- Related Articles: FDA Approves New X-ray Technology System That Implements Machine Learning Algorithms.  --- Automated Machine-Generated Transcript: Craig 0:11 Hello, hello Craig Peterson here on WGAN and online Craig Peterson. dot com, you can catch me streaming almost anywhere, including the tune in app, just go to Craig Peterson com slash tune in, in order to listen to me right there. Of course I'm on with our friends Ken and Matt during their drive time shows, every Wednesday morning at 738, we usually take about most of that half hour to talk about the latest news. And of course, you always get a little bit of Ken and Matt in there as well, I don't know if you could ever, you know, kind of get away from having them with their two cents in there. So I think that's pretty normal. And I appreciate everybody that's been listening to the show here on the week. And for those of you who are new, I have been an entrepreneur now for many decades, for decades, plus now so long time. And as part of that I had to become security aware, because I did get hacked one of these days, we'll have to talk about that in some more detail. But that was over 20 years ago. And I've been on the internet now for about 30 years and ran training programs for the FBI infra guard program and, and continue to do trainings and, and all kinds of things for my customers. And that's what I do for a living and have for many years now we're new, Northern New England's, in fact, all of New England's oldest managed security services provider is my company as well. And you can find me online at Craig Peterson. com, if you have questions or comments, you can email me at Craig peterson.com. Now, I have never done this before. I mentioned this almost an hour ago now. But I have a phenomenal Quick Start Guide for you, you are going to love it. We've got some stepping stones in here what to do to get going on your security for your business, cyber security. We have nine stepping stones, we've got checklists in here, we've got the key points for every small business looking at your hardware, your people, your security information assets. This is something that I have charged for before security endpoints. This is just incredible. Okay, and there's so much more in here. This is a 32 page guide. And it's all about quick starting the cyber security for your business. And I have never given this away before, it's always been something that's been paid. And I may never give this away again. But you can get it as a loyal listener to me here, you can get by going to Craig peterson.com slash Quick Start. So you'll go to slash Quick Start, you'll see my picture there in In fact, it's kind of cool, because that's an insider shot of me, you can see me in my natural habitat there. And you can give me your name and your email address. And I will immediately provide for you the quick start guide so that you'll have it. And I'll also put you on my weekly mailing list. So you get all of the articles I talked about here, every Saturday afternoon, you'll get links to all of those. So you can read them more in depth as well as I have free classes that I give other free giveaways that I have, I have dozens of cheat sheets and special report that I make available for free to people. Of course, I have courses that are paid courses to. And I also have the done it for you when it comes to managed security, which is way cheaper than trying to do it for yourself. If you're a business, if you're a small business at all, really under 10 to $20 million in annual income, you really shouldn't be trying to do this yourself. And you really need to go to a specialist when it comes to the security stuff. So that's what I do. I've been doing this for a long time, I'm quite good at it. And I hope that I'm going to be able to help you out here. And that's my ultimate goal. Okay, obviously, I have to keep my lights on. But I think you're going to be very impressed with all the stuff that I'm going to be providing for you once you sign up. In fact, once you sign up, I've even got more stuff that's going to be coming your way. So it's it's absolutely phenomenal. I got lots of great feedback, and so many people thanking me for what I do. And I've already gotten some of that from you guys. So I appreciate that. Now, when there is a major security problem, that is kind of, you know, one of those world changing things. Yeah, kinda like that. You hear the horn going off in the background, then I will send you a text, but you have to be on my text list. I'll also remind you when I have a show coming up so you can listen live. But you can just text My name or text WGAN, which Danny did that last week, apparently, as well. WGAN just texted to me. So the easy way to do that is to open your texting and text the word WGAN to 855-385-5553. That's 855-385-5553. And once you have sent that off, I'll add you to that list. So you get all of those emergency warnings when they come up. So now on to GG health. You know, this is according to CNBC one the first FDA clearance for an artificial intelligence powered X ray system. Now, if you've been listening to me for a while, you know, my definition of artificial intelligence tends to disagree with some of the other experts out there. There is something known as machine learning and then something that's known as artificial intelligence. I have yet to see any artificial intelligence I, I use a test that was derived about 80 years ago, that says artificial intelligence basically has to pass the Turing test, which means you should be able to have a conversation with it, it should be able to learn, anticipate, understand, and you don't even know you're talking to a machine. Now, there have been some that have kind of fooled people, but they didn't really pass the Turing test. So anyhow, be that as it may, I tend to call these machine learning things. But CNBC is reporting that the Food and Drug Administration is cleared new artificial intelligence powered X ray device, the GE Healthcare says, reduces the time to detect a collapsed lung from eight hours to as little as 15 minutes. Now, that is critical. And now you probably know I was involved in emergency medicine for about 10 years. And having a collapsed lung is a very, very bad thing. And being able to properly diagnose it is very important when it happened. So this thing uses AI algorithms to scan these x ray images and detect detect a new more thorax. Now, I don't know how detailed Should I get here, the difference between a new more thorax and the chemo thorax, basically, numeral four, x is when you have air in your lungs just isn't supposed to be there or in your chest cavity. And a Hema thorax is when you have blood in either the lungs or the chest can just kind of make this simple here, from a typically a piercing wound that like you might get in a car accident. So there are all kinds of potential benefits to this type of, frankly, artificial intelligence. And let's see here, they're saying that works by using AI to analyze images and the X ray, if a condition is suspected. And all it can diagnose right now is a new, more thorax, the image is sent directly to the radiologist for review. And it functions outside the cloud is not dependent on an internet connection runs locally. And currently, 62% of portable chest exams are marked stack or urgent, but they aren't all critical. So this creates a delay in the turnaround for truly critical patients can be a serious issue. So this is interesting, primarily because of the fact now that the FDA is expanding the allowed use of artificial intelligence across the medical field. So this is really aimed at helping doctors really quickly recognize diagnose various types of illnesses and disease. And that's going to allow them to give more timely treatment to patient, it's going to hopefully help reduce costs and inefficiencies. So you know, we've been talking for a long time about people losing their jobs to automation. And, you know, that's certainly been happening already. And there are some estimates that we could lose, you know, 10% of the jobs in the next 12 months, I've seen that that's kind of the worst case scenario. And what jobs are we losing, we're losing the jobs that can easily be automated. This changes the whole definition of easily automated, doesn't it? Because we're talking about something that takes a true specialist, a radiologist who reads these things all day long and analyzes with analyzes those things. So our radiologists, maybe another job that's going to go away soon. How about anesthesiologists, the people that are putting you under for surgery, even surgeons, I think are in for a little bit of trouble. Because of the remote technology. Now, it's all better for us in many, many ways that in most cases, the computers, the artificial intelligence is not making the same mistakes. It has a wider breadth of knowledge than the doctor does that might have gotten out of school six months ago, or 60 years ago, it doesn't matter the machine can keep up to date and understand the techniques a little bit better. So for some basic surgeries, you know, removal of skin cancer, you know, the questionable moles or various other things. That that I think we're going to start seeing more and more of being done in an automated fashion. And as we as consumers demand, better treatment, faster treatment, and less expensive treatment. This is really going to take off. Of course right now, consumers are isolated and insulated from the actual costs involved. But we'll see where this all goes. By the way. This year, GE announced plans to sell its biopharma portion to industrial firm, Danny or for $21.4 billion. Oh, and when we're talking about accuracy, I member Well, I wasn't on these stations, I was on some other stations. But there was a very interesting study looking at doctors and their outcomes. And they found that younger doctors tended to have patients that had better outcomes. Now what does that mean? Well, younger doctors probably aren't seen the older patients like the older doctors are right? We just don't feel comfortable with a young guy still wet behind the ears. But so far, the accuracy of this large animal thorax with this machine is at 96% with a very low number of false positives. And that is a phenomenal thing. So it'll continue to get better as time goes on. Well, when we get back we're going to talk about Words with Friends. Have you ever played that game? Yeah, that one that got Alec Baldwin? I think it was in trouble on the airplane. Remember all of that, dear. Okay, stick around. You're listening to Craig Peterson on WGAN. And we'll be right back after this course online. Craig Peterson calm Transcribed by https://otter.ai --- More stories and tech updates at: www.craigpeterson.com Don't miss an episode from Craig. Subscribe and give us a rating: www.craigpeterson.com/itunes Follow me on Twitter for the latest in tech at: www.twitter.com/craigpeterson For questions, call or text: 855-385-5553

As Google will be quick to point out, yes, a machine can more quickly identify shapes, categorize things, and not miss any. Much better than our feeble human brains can do these simple tasks. But here comes the million dollar question — IF marketing organizations had more personalized, custom information about their customers, would it REALLY matter? Would we REALLY be smarter? Or would we still send out more e-mails, cram people into funnels and really use the technology to just do more stuff, more frequently and poorly. Because as I see it, that’s what is happening with machine learning.  Listen to me rage against this machine that will be used to further destroy marketing’s reputation out there.  Oh, and of course, we’ll bake up a fresh batch of Winning and Losing this week as you join me for another fantastical episode of May the Best Brand Win on Entertalk.  

Segment 1: With special guest ZAK PINES, DIRECTOR, SALES & MARKETING, FORMSTACK Zak Pines shares his experience as leader of Sales and Marketing; his personal evolution with using data to inform his decisions in both those roles, the proper approach to building a Customer Data Management Stack, and Revenue Marketing. His tips? • Don’t overly complicate data or attribution – keep it simple • Get a reality check around effectiveness of your stack components • Sales people are as important as your digital marketing stack when it comes to creating value in B2B marketing Segment 2: REPORT OR TREND OF THE WEEK B2C marketers are using Machine Language and Artificial Intelligence to formalize the ingestion of customer reviews and UGC into marketing intelligence. Consider these news items: - Walmart acquisition of Aspectiva (NLP specialist analyzes customer reviews and uses results to fine-tune ecommerce search results for higher conversion rates. - Zenloop funding (for a Customer Feedback Analysis solution) - SurveyMonkey just acquired Usabilla (to offer “the most comprehensive portfolio of enterprise-grade solutions for collecting and analyzing real-time feedback from customers and users.” - Domino’s fun new ad campaign is actually mining your preferences - By leveraging these technologies, Domino’s can analyze thousands of submitted pictures to learn customers’ preferences for ingredients, pizza style, dimensions and competitors. - RichRelevance Unveils Hyper-Personalization with Deep Learning — A Level up in AI for Customer Experiences AI has the power to draw patterns across customer feedback, reviews, UGC, social media chatter etc. to help Brands understand customers better. Is this manipulative or just good marketing? What can B2B marketers learn from this trend, when it comes to personalizing experiences? Segment 3: NEWS MAKER(S) OF THE WEEK: Duck Duck Go! for breaking 9 billion searches in 2018; and Mark Zuckerberg, for his announcement of a ‘privacy-focused vision’ for Facebook Are brands that are using PRIVACY as a positioning plank on to something? How do you navigate that space? Our panelists suggest it’s about finding the balance between the net positives, business value and CX and data stewardship. Simple, right? DuckDuckGo has been challenging Google since 2012..but now people are paying attention. Is there such a thing as Privacy on the internet? According to our panelists, brands need to understand what the notion of ‘net positives’ means to the customer in the context of their business – when making tradeoffs between privacy and experience. With Facebook, there was a strong front-facing ‘illusion of control’ over your own data – being able to choose and change your user settings at will. Unfortunately, the real control over customer data at the back end was another story. Now, Facebook wants to be more ‘privacy focused’ because that’s what, apparently, you want. Is privacy a strong enough point of differentiation? How many of your customers are truly obsessed with privacy? Will your Brand approach privacy as a threat or an opportunity?

In this episode I’ll show you how to create the iconic flashing borders on Commodore machines. Back in the day, when the system was loading, this was a nice way to indicate that the computer is busy doing something rather than being dead. I’ll show you the principle both in BASIC and in Machine Language … Continue reading Flashing Border Colors on the Commodore 128 in Machine Language →

The Commodore 128 has a built-in machine language monitor which makes it ideal for ML development. However, most (or pretty much all) documentation on this subject is geared towards the Commodore 64, making it slightly difficult to get a head start in writing ML code for the 128. Before I forget how to do it, … Continue reading Writing HELLO WORLD in Machine Language on the Commodore 128 →

0: Tillbaka på jobbet 1:45: Spotlight är bråkigt 5:40: Essential phone - nyfiken i en lur 21:15: Crashplan - och Backblaze 28:25: SGI O2! 39:15: Favoritdatorer 1:03:43: Fredrik spelar Warframe, lär sig (kanske) acceptera och uppskatta välgjorda free to play-spel 1:11:51: Medium ska börja betala skribenter, på nya sätt 1:17:18: Nästa gubbighetsutmaning för Fredrik Länkar Gagat - artisten även känd som beckkol Sid Meier’s railroads! mdutil Essential phone Andy Rubin Nest Material Andy Rubin om varför han startade Essential Oreo kommer nu Crashplan lägger ner för privatpersoner Backblaze Backblaze skriver mycket om sina erfarenheter Hur Backblaze hanterade hårddiskbrist 2012 Origin 3200 O2 Pfsense Irix Liten demo av 3d-miljön Upgrade om favorit-Apple-produkter Imac G4 - “solros-Imacen” Imac G5 Macbook air Tolvtums-powerbook Commodore 128D Torx CP/M Compis Satandisk Göteborg lounge hackers - hacka på dina egna projekt Alienware Craylink: Warframe Destiny Recensionsvideon Fredrik fick se Videon om det fantastiska uppdraget Medium ska ge skribenter betalt efter hur många prenumeranter som klappar händerna 128 machine language for beginners Jockes favoritlänk från archive.org Night of the living dead Foyle’s war Se avsnittet Casualties of war Hastings Fullständig avsnittsinformation finns här: https://www.bjoremanmelin.se/podcast/avsnitt-91-oerhorda-mangder-kaffe.html.

Richard Mansfield: Compute! Magazine, 6502 Machine Language Books Richard Mansfield is author of the best-selling book Machine Language For Beginners, and its sequel, Compute!'s Second Book Of Machine Language, both published by Compute! books. He also wrote Apple Machine Language for Beginners, Commodore 128 Machine Language for Beginners, and a bevy of other computer books continuing right up through today. Richard was also a long-time editor of Compute! magazine. This interview took place on March 17 2016. Teaser quotes: "It was kind of a lucky thing for me, the timing was right. I had the writing skill and I also had an intense curiosity and interest about computers and programming." "Unfortunately, the amateur computer programmer is a memory, really. If some kid gets into computing now he basically has a lot of algebra, a lot of other hurdles that are meaningless, but they're there." Full text of Machine Language For Beginners: http://www.atariarchives.org/mlb/ Machine Language For Beginners at archive.org Full text of Second Book Of Machine Language: http://www.atariarchives.org/2bml/ Second Book Of Machine Language at archive.org Compute! magazine issues at Archive.org: https://archive.org/details/compute-magazine Richard's articles in Compute!: http://www.atarimagazines.com/compute/index/index.php?author=Richard+Mansfield

Welcome to episode 56 of the Floppy Days Podcast where old computers come to life again.  I’m Randy Kindig.  I want to thank Ian Baronofsky and Rick Reynolds for providing their thoughts and memories of the TI-99 computer.  This is the fifth and final installment in a series of episodes on the TI-99/4A home computer.  This episode will cover TI-99 ads, user groups and shows, emulation, buying one today, community, and Web sites.  My very special co-hosts for this episode are again two well-known figures in the TI-99 community: Chris Schneider, who produces the SHIFT838 newsletter and Rich Polivka, who manages the popular 99er.net Web site.  They provide a ton of information about the amazing TI-994/A home computer.  I hope you enjoy this. Links Mentioned in the Show: New Acquisitions Juiced.GS Apple II Newsletter - https://juiced.gs/ Commodore 64 Machine Language for the Absolute Beginner by Danny Davis - http://www.amazon.com/dp/0861611454/?tag=flodaypod-20 The ZX81 Pocket Book by Trevor Toms - http://www.amazon.com/dp/095073022X/?tag=flodaypod-20 Introduction to Machine Code for Beginners (Usborne Computers & Electronics) - Lisa Watts, Mike Wharton - http://www.amazon.com/dp/0860207358/?tag=flodaypod-20 News Bill Degnan’s “History of Commodore Computers” Poster - http://www.vintagecomputer.net/poster_detail.cfm Floppy Days Logo Contest Poll - https://www.facebook.com/groups/floppydays/permalink/1699121653679601/?qa_ref=qd TRS-80 Trash Talk Podcast with Peter Cetinski - http://www.trs80trashtalk.com Stan Veit’s History of the Personal Computer Podcast with David Greelish - http://www.classiccomputing.com/CCPodcasts/Stan_Veit/Stan_Veit.html VCF Southeast 4.0 - April 2 & 3 2016, Roswell, GA - http://vcfed.org/wp/festivals/vintage-computer-festival-southeast-4-0/ VCF East - April 15-17, 2016 - InfoAge Science Center, 2201 Marconi Rd., Wall, NJ, 07719 - http://vcfed.org/wp/festivals/vintage-computer-festival-southeast-4-0/ 25th Annual Last Chicago CoCoFest - http://www.glensideccc.com/cocofest/ - April 23 & 24, 2016, Heron Point Convention Center, Lombard, IL, Sat. 9-5, Sun. 9-3 TI Fest West 2016 - http://atariage.com/forums/topic/248617-pnw-ti-994a-fest-west-2016-april-30th/ - April 30, Centralia WA KansasFest, 28th edition - https://www.kansasfest.org/ - Rockhurst University in Kansas City, Missouri, from Tuesday, July 19, through Sunday, July 24 Atari Party = http://www.newbreedsoftware.com/atariparty/ - Saturday, July 30th, 2016, 12 p.m -5 p.m., Yolo County Public Library, Davis, CA Vintage Computer Festival West - August 6-7 at the Computer History Museum, in Mountain View, California. - http://vcfed.org/wp/festivals/vintage-computer-festival-west-xi/   VCF MIDWEST 11 September 10-11, 2016, Elk Grove Village, IL - http://www.vcfmw.org/ Portland Retro Gaming Expo - 11th annual Expo at the Oregon Convention Center on October 21-23, 2016 - http://www.retrogamingexpo.com/ Feedback Retrocomputer Museum - http://retrocomputermuseum.co.uk/ Web browser project on the TI written by Stuart Conner - http://www.avjd51.dsl.pipex.com/ti/ti.htm#internet_web_browser TI game that allows people to play chess against each other on the web by Corey Anderson - http://myti99.com Ads “TI’s Home Computer. This is the one!” Ad - https://www.youtube.com/watch?v=DlU4HTefxmc Another Bill Cosby video ad - $100 rebate (1983) - https://www.youtube.com/watch?v=a1nB71Ndmvs Another video ad - https://www.youtube.com/watch?v=trNcXw6nRU0 User Groups and Shows Chicago TI-99/4A Users Group - http://www.chicagotiug.com/tiki-index.php Chicago TI International World Faire - http://www.chicagotiug.com/tiki-index.php?page=Faire Rich attended the 18th faire in 2000 - http://www.99er.net/chicago/chicago.html TI99ers On-Line User Group - http://www.ti99ers.org/news.php TI-99 Club in Vienna, Austria still has regular meetings - http://ti99blog.webs.com/ TI User Group (UK) - In operation for 27 years - http://www.ti99ug.co.uk/index.php TI-99 Italian User Club - http://www.ti99iuc.it/ Emulation Classic99 by Harmless Lion - www.harmlesslion.com/software/classic99 MESS (Multiple Emulator Super System) - http://www.ninerpedia.org/index.php/MESS Using MESS along with TIIMAGETOOL - http://www.ninerpedia.org/index.php/TIImageTool Win994a - TI99/4A Simulator for Windows by Cory Burr - http://www.99er.net/win994a.shtml ‘ASM994A’ program - http://atariage.com/forums/topic/229206-using-asm994a/ TI-99 For Windows (TI99W) by Fred Kaal - http://www.ti99-geek.nl/ JS99er - http://www.js99er.net V9T9 Emulator - http://eswartz.github.io/emul/ TIGAMEROOM - http://www.ti99iuc.it/web/go?94RUNC PC99 from CaDD electronics - http://www.cadd99.com Community TI 99er’s Facebook - https://www.facebook.com/groups/2209774843/ 99er.net Facebook - https://www.facebook.com/The-Ti-994a-Home-Computer-Page-196432643721232/timeline/ Yahoo Online Groups - https://groups.yahoo.com/neo/groups/ti99-4a/info , https://groups.yahoo.com/neo/groups/TI994A/info AtariAge - http://ti99.atariage.com/ Google+ - TI99 Videos (YouTube) - https://plus.google.com/+Globeron-TI99VIDEOS/videos Web Sites TI Magazines - http://www.mainbyte.com/ti99/micro/micro.html TI-99/4A Home Computer Page (Rich Polivka) - http://www.99er.net/ (or .org, but not .com) Bill Gaskill’s TI Timeline - http://www.ti99ers.org/timeline/ , http://www.99er.net/hist1.html TI-99/4A Home Computer Book Archive - http://www.hexbus.com/tibooks/ Archive.org - http://archive.org Mainbyte - http://mainbyte.com  - great reference site for TI-99/4A material hardware and command references as well as hardware projects for building and upgrades Video Game House - http://www.videogamehouse.net/ - Covers game carts for the TI; Manuals, boxes, screenshots, trivia TI Tech Pages - http://www.nouspikel.com/ti99/titechpages.htm - Architecture, processor, memory, peripherals, upgrades, programming. TI-99/4A Game Shelf - http://tigameshelf.net/ - Collection of disk/cassette images for use with emulators.  Frequently updated, good instructions. WikiPedia for the TI-99 - http://Ninerpedia.org Hexbus - http://www.hexbus.com/TI-99_4A_Home_Computer_Page/The_TI-99_4A_Home_Computer_Page.html - John Guidry’s site for hardware and software for the TI-99/4a TI99 Geek - http://www.ti99-geek.nl/ - Fred Kaals site.  Designer of the HDX upgrade (store files on a PC via serial connection); many good projects and programs. Arcade Shopper - http://www.arcadeshopper.com   Original carts (Rasmus), cartridge boards, eproms Tex*In Treasures - http://www.texintreasures.com/ - Used to have NOS & used TI and CC40 items. Site still available, but has been showing maintenance message for months. Rabbit Engineering - http://www.rabbitengineering.com/ has mini TI99 ‘models’ Zazzle - http://www.zazzle.com/jchildre has Alpiner and Wumpus shirts/hats; Cafe press stores (search TI-99) Terry Stewart (Tezza) video - https://www.youtube.com/watch?v=p6VjsVwRXYk The TI99ers Online User Group - http://www.ti99ers.org.  It is intended to be a "clearinghouse" for TI-99/4A and compatibles information. TI99ers Hall of Fame - http://www.ti99hof.org/ The Western Horizon Technologies FTP server - ftp://ftp.whtech.com - maintained by Don O'Neil and, through the efforts of many but most notably Charles Good, has become the premiere archive of TI-99 and related material TOSEC collection at archive.org - https://archive.org/details/Texas_Instruments_TI-99_4a_TOSEC_2012_04_23

Wouldn’t it be great if you could put whatever machine language you wanted into a standard Applesoft program with practically no performance, dependency, or stability issues? With Ivan Drucker’s Slammer, you can! Slammer is a new method for installing and executing machine language routines, at machine language speed, using 100% legal Applesoft. This presentation introduces […]