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#collaborativeR&D#cross-bordercollaboration#hardwareacceleration#innovationecosystems#QuantumComputing#regionalspecialization#talentdevelopment#technologyroadmapping
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https://electronicsbuzz.in/hardware-acceleration-enhancing-performance-in-industrial-computing/
#hardware acceleration#precision#GPUs#automation#reduce downtime#HardwareAcceleration#ManufacturingTech#Industry40#AI#SmartFactories#Automation#powerelectronics#powermanagement#powersemiconductor
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How To Turn On Or Off Hardware Acceleration In The DuckDuckGo Web Brows...
How To Turn On Or Off Hardware Acceleration In The DuckDuckGo Web Browser Using A PC
Learn how to enable or disable hardware acceleration in the DuckDuckGo web browser on your PC with this step-by-step tutorial. Adjusting hardware acceleration can improve performance or fix issues like screen glitches or lag. Follow along to optimize your browsing experience in the DuckDuckGo browser.
Simple Steps
1. Open DuckDuckGo Desktop App: Launch the DuckDuckGo Desktop App on your computer.
2. Click On The 3 Dot Menu: You will find the menu in the upper right corner. Click on it to open the dropdown menu and choose "Settings".
3. Within the browser settings, in the left side pane select the "Advanced" tab.
4. In the center pane, under "Hardware Acceleration", uncheck the box next to "Use Hardware Acceleration When Available".
5. Click on the "Relaunch" button.
#duckduckgo #videotutorial #instructionaldesign
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AI + Semiconductor Manufacturing = A $9.8B Market by 2034! 🚀
AI for Semiconductor Manufacturing Market is revolutionizing chip production by integrating artificial intelligence to enhance precision, efficiency, and yield. AI-driven solutions such as predictive maintenance, quality control, process optimization, and supply chain management are pivotal in addressing the growing demand for advanced semiconductor devices.
To Request Sample Report : https://www.globalinsightservices.com/request-sample/?id=GIS10040 &utm_source=SnehaPatil&utm_medium=Article
The market is experiencing strong growth, driven by advancements in automation and precision manufacturing. Machine learning dominates with a 45% market share, optimizing production efficiency and yield. Predictive maintenance ranks second, reducing downtime and operational costs through real-time analytics. AI-powered quality control ensures defect-free production, elevating semiconductor standards.
North America leads due to robust technological infrastructure and R&D investments, followed closely by Asia-Pacific, with China and South Korea driving growth through AI-driven manufacturing initiatives. Europe also sees expansion, fueled by semiconductor demand in automotive and industrial sectors.
The industry is forecasted to process 320 million chips in 2024, with an expected surge to 550 million by 2028. Major players like IBM, NVIDIA, and Intel lead AI-driven semiconductor innovations.
#ai #semiconductors #machinelearning #deeptech #computervision #predictivemaintenance #qualitycontrol #waferfabrication #neuralnetworks #automation #datadriven #chipmanufacturing #foundries #nanotechnology #electronics #smartmanufacturing #deeplearning #aioptimization #geneticalgorithms #fuzzylogic #lithography #etching #deposition #semiconductorindustry #chipdesign #artificialintelligence #cloudcomputing #digitaltransformation #iot #bigdata #edgeai #manufacturingai #supplychainoptimization #processautomation #industrialai #automotivechips #advancedanalytics #smartfactories #integratedcircuits #hardwareacceleration #aihardware #aichips
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🧠 AI + Semiconductors = Predicting the Future of Tech Like Never Before!
AI for Predictive Semiconductor Trends Market : The semiconductor industry is evolving rapidly, and Artificial Intelligence (AI) is playing a crucial role in forecasting market trends, optimizing chip design, and enhancing manufacturing efficiency. AI-driven predictive analytics helps semiconductor companies stay ahead by identifying emerging technology shifts, market demands, and supply chain disruptions before they occur.
To Request Sample Report :https://www.globalinsightservices.com/request-sample/?id=GIS32975 &utm_source=SnehaPatil&utm_medium=Linkedin
How AI is Transforming Semiconductor Trend Prediction
AI-powered systems leverage machine learning, deep learning, and big data analytics to analyze vast amounts of semiconductor industry data. Key AI applications include:
✔ Market Demand Forecasting — AI models predict global semiconductor demand based on economic indicators, consumer behavior, and technological advancements. ✔ Design Optimization — AI accelerates chip design simulations, reducing time-to-market for next-gen processors and SoCs. ✔ Predictive Supply Chain Analytics — AI-driven forecasting minimizes component shortages and disruptions in semiconductor manufacturing. ✔ Defect Detection & Yield Optimization — AI-based computer vision improves wafer inspection and enhances production yield.
Key Benefits of AI in Semiconductor Trend Prediction
📌 Early Trend Identification — AI detects upcoming shifts in semiconductor demand for AI chips, 5G, IoT, and automotive electronics. 📌 Data-Driven Decision Making — AI-driven insights enable chipmakers to adapt production strategies and R&D investments. 📌 Improved Manufacturing Efficiency — AI optimizes fab operations, reducing defects and energy consumption. 📌 Enhanced Supply Chain Resilience — AI models forecast raw material availability, geopolitical risks, and logistics delays.
AI-Powered Trends Shaping the Semiconductor Industry
🔹 AI-Driven Chip Design — AI is revolutionizing EDA (Electronic Design Automation) for faster and more efficient semiconductor design. 🔹 Edge AI & Neuromorphic Computing — AI predicts the rise of brain-inspired processors for real-time AI applications. 🔹 Quantum Computing Integration — AI anticipates breakthroughs in quantum semiconductors for next-gen computing. 🔹 Sustainability & Green Semiconductors — AI forecasts trends in low-power and eco-friendly chip manufacturing.
Future Trends in AI-Powered Semiconductor Insights
🔸 Generative AI for Chip Innovation — AI models will autonomously design and optimize semiconductor architectures. 🔸 AI for Silicon Photonics — Predicting the rise of optical computing for ultra-fast data processing. 🔸 AI-Powered Semiconductor Market Analytics — Advanced AI algorithms will refine demand prediction accuracy. 🔸 AI in 3D & Advanced Packaging — AI-driven insights will shape chiplet-based architectures and heterogeneous integration.
As AI continues to transform predictive semiconductor analytics, chipmakers gain a strategic edge in forecasting industry trends, boosting innovation, efficiency, and market competitiveness.
#artificialintelligence #semiconductors #ai #predictiveanalytics #machinelearning #chipdesign #bigdata #eda #supplychain #iot #aihardware #5g #neuromorphiccomputing #quantumcomputing #siliconphotonics #waferinspection #smartmanufacturing #futuretechnology #autonomoussystems #generativeai #fabautomation #deeptech #aiinsupplychain #nextgensemiconductors #predictivemaintenance #datacenters #hardwareacceleration #sustainability #lowpowerchips
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شتاب سخت افزاری و اهمیت آن


شتاب سخت افزاری قابلیتی است که بخشی از بار پردازشی واحد پردازش مرکزی را به سایر سختافزارها محول میکند. شتاب سخت افزاری (Hardware Acceleration) قابلیتی است که شاید در منو برنامههای مختلف خیلی از دستگاهها مانند گوشیهای اندروید مشاهده کرده باشید. این ویژگی همیشه در برنامههای گوشیهای هوشمند دردسترس نیست؛ اما تعدادی از برنامههای محبوب اندروید مانند یوتیوب و کروم و فیسبوک از آن استفاده میکند. شتاب سخت افزاری کاربردهای مختلفی دارد؛ از رندرینگ کارآمدتر صدا و ویدئو تا خواناترکردن متن و افزایش سرعت گرافیک دوبعدی و انیمیشنهای رابط کاربری. چنانچه این ویژگی دردسترستان قرار دارد، بهتر است از آن استفاده کنید؛ اما در برخی از مواقع ممکن است موجب نقص و باگ شود. اگر سؤالات مختلفی دربارهی آن در سر دارید و در استفاده از آن مردد هستید، ادامهی این مقاله را دنبال کنید.
شتاب سخت افزاری چیست؟
شتاب سخت افزاری از سخت افزار های بهخصوصی استفاده میکند تا کارایی و سرعت اجرای وظایف را در مقایسه با زمانی افزایش دهد که فقط از پردازنده استفاده میشود. معمولا این کار ازطریق واگذاری بخشی از وظیفهی پردازش به واحد پردازش گرافیکی و پردازندهی سیگنال دیجیتال و سایر بلوکهای سختافزاری انجام میشود که ویژهی انجام وظایف خاص هستند. روند کار شتاب سخت افزاری تقریبا مشابه رایانش ناهمگن بهنظر میرسد. بهجای اتکا بر SDK پلتفرمی خاص برای دسترسی به قطعات پردازشی مختلف، سیستمعامل انواع مورداستفاده تسریع کارایی را دراختیار توسعهدهندگان نرمافزار قرار میدهد. هنگامیکه شتاب سخت افزاری غیرفعال باشد، پردازنده هنوز میتواند عملکرد لازم در نرمافزار را اجرا کند؛ اما با سرعتی کُندتر از زمانیکه این قابلیت فعال است. یکی از رایجترین موارد استفاده از آن ، رمزگذاری و رمزگشایی ویدئو است و بخشی از بار پردازشی CPU را به سایر سختافزارها محول میکند. برای مثال، بهجای رمزگشایی استریم ویدئو بهوسیله واحد پردازندش مرکزی که خیلی کارآمد نیست، کارتهای گرافیک یا سایر سختافزارها اغلب بلوکهای اختصاصی برای رمزگذاری و رمزگشایی ویدئو دارند که میتوانند این وظیفه را بسیار کارآمدتر انجام دهند. بهطور مشابه، خارجکردن فایل صوتی از حالت فشرده ازطریق پردازندهی سیگنال دیجیتال، بسیار سریعتر از واحد پردازش مرکزی انجام میشود. یکی دیگر از رایجترین استفادههای شتاب سخت افزاری ، تسریع گرافیک دوبعدی است؛ مثلا رابطهای کاربری تعداد زیادی اشکال گرافیکی و متن و انیمیشن را باید رندر کنند. این کار را میتواند واحد پردازش مرکزی انجام دهد؛ اما واحد پردازش گرافیکی چنین عملیاتی را سریعتر انجام میدهد. چنین وظایفی میتواند اعمال فیلتر ضدپلهگی (Anti-aliasing) به متن باشد تا صافتر بهنظر برسد یا قراردادن پوشش نیمهشفاف روی ویدئو را شامل شود. برای سایر اعمال گرافیکی پیشرفته، میتوان تسریع فیزیک و نوردهی رهگیری پرتو را مثال زد.

چرا شتاب سخت افزاری مهم است؟
پردازنده نیروی کار عمومی سیستمهای رایانهای محسوب میشود و طوری طراحی شده است تا هر وظیفهای را انجام دهد که به آن واگذار میشود؛ اما این انعطاف به آن معنا است که پردازنده همیشه کارآمدترین قطعه برای انجام وظایف خاص نیست؛ مثلا وظایفی مانند رمزگشایی ویدئو یا رندر گرافیکی که انبوهی از عملیات ریاضی پیاپی را شامل میشوند. شتاب سخت افزاری وظایف رایج را از واحد پردازش مرکزی به سختافزاری خاصی محول میکند که آنها را نهتنها سریعتر، بلکه کارآمدتر انجام میدهند و باعث خنکترشدن سیستم و دوام بیشتر باتری میشود. هنگام استفاده از بلوکهای اختصاصی رمزگشایی ویدئو بهجای اجرای الگوریتم روی پردازنده، کاربر با یک بار شارژ، میتواند تعداد بیشتری ویدئو باکیفیت تماشا کند. ناگفته نماند این کار پردازنده را آزاد میکند تا کارهای دیگری انجام دهد و سرعت پاسخدهی اپلیکیشنها را افزایش دهد. بهرهگیری از سختافزاری بیشتر برای انجام عمل پردازندش هزینه دارد؛ بنابراین، باید تصمیم گرفت چه ویژگیهایی ارزش پشتیبانی بهوسیلهی سختافزار خاصی را دارند. برای مثال، میتوان کُدکهای محبوب ویدئو را ذکر کرد که در مقایسه با هزینه تمامشده، فواید مطلوبی ندارند. شتاب سخت افزاری از کامپیوترهای شخصی قدرتمند گرفته تا گوشیهای هوشمند، به ابزار مهمی در سیستمهای رایانهای تبدیل شده است. موارد استفاده سختافزارهای اختصاصی با معرفی کاربردهای یادگیری ماشین درحال افزایش است. با این اوصاف، اغلب اوقات فقط برای کاهش مصرف باتری هنگام تماشای ویدئو از یوتیوب استفاده میشود. Read the full article
#Acceleration#centralprocessingunit#Hardware#Hardwareacceleration#performance#processor#youtube#پردازنده#سختافزار#شتاب#شتابسختافزاری
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Google Chrome slow performances issue - 100% CPU or memory usage - How to Fix

I personally think that Google Chrome is a great browser and I tend to use it over Mozilla Firefox and other great alternative: not only for its speed and reliability, yet also for the awesome plugin & extensions marketplace it has. Conversely, its support (the Google Help Website and the Google Chrome Help Forum) is quite bad, expecially if we compare it to the great support provided by the Firefox Community Forums: the overall technical experience of the contributors may vary, but it's mostly low: from my experience, I can say that the vast majority is composed of "average users" more than willing to help each other out, yet often unable to provide the right answer(s). This isn't a big deal when everything works as it should, however it can easily become a problem when you're struggling with some issue related to Google Chrome functions or behaviours - expecially the performance-related issue such the one mentioned above: overall slowness, 100% CPU usage, 100% memory usage, and so on. I stumbled upon these issues a number of times and I rarely found something useful in the community forums - thus having to solve it alone, with my own research. By doing that I was able to find three simple yet critical issues that are behind most of the Google Chrome performance problems: Resource-heavy extensions Background Tabs Background Pages and Apps Hardware acceleration In the following paragraph we're dealing with them in details. Before starting, it's worth noting that some of these topics are also mentioned in the Speed up Google Chrome official tutorial, a short article released by Google some years ago - acknowledging the fact that Chrome has a bad reputation for hogging system resources. However, the "how to fix" part of that post could be better - which led me to write this post.
Resource-Heavy Extensions
The first thing to do when you're dealing with Chrome performance issues is to carefully check all of your installed extensions to see how much they "cost" in terms of system resources. Luckily enough, there are two easy ways you can figure out how much RAM, CPU and Disk Chrome is using in real-time. If you're using Windows, the first of them is obviously the built-in Task Manager, which offers a decent overview:

As you can see, Chrome appears a number of times there - one for each active tab and/or process: since extensions are also processes, you can already have a good general glimpse of how your system is going. However, the Task Manager is unable to show you the process names, at least in a readable format: for this very reason, it's not the proper tool to individually check out your installed extensions. To drill down further and understand exactly how much RAM each site, extension, or plugin is using, you can opt instead for Chrome’s very own Task Manager, which you can access by clicking SHIFT+ESC (or by using the More Tools menu):

Using the Chrome built-in task manager you can analyze the behaviour of each individual extension: it also allows you to use the Terminate Process button to instantly kill RAM-hogging processes. This could be very useful to perform your performance tests, as you'll be able to see & measure the outcome in real-time. Once you've completed your check-up phase, you can go to More tools > Extensions and disable the extensions you found to be critical for your system performance - assuming that you can live without them.
Background Tabs
As you might already know, keeping a lot of open tabs in Google Chrome is a bad behaviour (performance-wise, at least) that can easily waste your machine's resources: if you're on a laptop or a mobile device, these tabs will drain your battery life; however, the real problem about that is that they will also degradeyour OS performance, as these websites will most likely keep loading tasks and fetching data. This can cause serious CPU and/or memory issues, expecially if you're leaving Google Chrome open for a long time. To fix that, you can use one of the many existing Google Chrome extensions that can shut down and/or put to sleep the unused tabs. Here's a list of the one which I liked the most: The Great Suspender Tab Suspender TooManyTabs TabMemFree All these extensions can be configured to automatically (or manually) "freeze" the background tabs, thus saving up most of their memory: this is a real lifesaver by all means, considering the impact they have on Google Chrome and on the operating system resources. If you're either working with a lot of tabs and/or leaving Google Chrome always open I strongly suggest you to try one of them to see if it can help you solve your performance issues. If you want a slightly different approach you can also try OneTab, which works in a slightly different way: it basically gives you a "panic button" that you can click when you think you're dealing with too many tabs, which will convert all of your tabs into a "list": when you need to access the tabs again, you can either restore them individually or all at once. When your tabs are in the OneTab list, you will save up to 95% of memory because you will have reduced the number of tabs actually open in Google Chrome. Since I always have a whole lot ot tabs, I personally use The Great Suspender combined with OneTab and I can say that they perform great together: you can try this setup of experiment with other combos, but you'll be mostly fine even with installing a single one of them. IMPORTANT NOTE: using these extensions might be not needed in a near future, at least for mobile devices: XDA Developers reports that Chrome for Android will soon choke off background tabs after five minutes of inactivity. That's a great news, considering how much Google Chrome impacts the mobile device's battery life nowadays.
Background Pages and Apps
Many extensions and web apps use background pages that do their work where you can't see them. for example, if you use Google Mail Checker, a background page works to send new message alerts. Background apps work entirely in the background and will definitely drain your system resources. Most of them do have a lifetime bound to their "master" page, tab or extension, yet ther are some that can keep running even after you close the Chrome browser. As a matter of fact, you wouldn't want to kill these background apps while Google Chrome is open, as doing that will most likely cripple your active tabs: however, ensure that they will be shutdown when you close the browser window is almost always a good choice - unless you have valid reasons (and installed extensions) to do otherwise. In case you don't, I strongly suggest you to turn off such feature by following these steps: From the Google Chrome's menu, go to the Settings page. At the bottom, click Show advanced settings (or just Advanced, depending on your OS). In the System section, uncheck the Continue running background apps when Google Chrome is closed option. That's it.
Hardware acceleration
Like most applications, Google Chrome has a neat hardware acceleration feature that - when enabled - passes most of the graphical intensive tasks within the browser to the GPU, meaning it makes the most of your hardware. This is generally a good thing, for at least two reasons: The GPU is natively designed to handle these tasks, hence so your browser will perform much better; Using the GPU for these graphical tasks will free up the CPU, which will be able to do other tasks. To enable hardware acceleration in Google Chrome perform the following steps: From the Google Chrome's menu, go to the Settings page. At the bottom, click Show advanced settings (or just Advanced, depending on your OS). In the System section, check the Use hardware acceleration when available option. Although having the hardware acceleration feature turned on is generally a good thing, there could be some scenarios where it might not be worth it or even slow down your system. There are numerous tests you can run to see if hardware acceleration is actually doing anything useful or not. The best way to check for that is to visit the Demos of open web technologies page, where you can find a lot of CPU-GPU related tests that you can run with-and-without GPU acceleration to see if you should enable or disable it. It's worth noting that, although being resources provided by Mozilla (the people behind Firefox), these tests work equally well in Chrome.
Conclusions
That's about it: I definitely hope that this small guide will help those who are struggling with Google Chrome's performance issues to fix their problems for good! Read the full article
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@GCPcloud: NVIDIA Tesla V100 GPUs are publicly available in beta on Compute Engine and #Kubernetes Engines, allowing up to 1 petaflop of mixed precision hardware acceleration performance → https://buff.ly/2vZ2pUN https://buff.ly/2KoH22u . . . . . . . . . . #nvidia #nvidiatesla #gpu #graphics #beta #computeengine #vm #virtualmachine #appengine #performance #hardwareacceleration #cloud #CloudComputing #cloudsecurity #cloudmarket #google #googlecloudplatform #gcp #gcpcloud #azurecloud #Microsoftazure #azure #office365 #aws #AmazonWebServices #awscloud #containers #dockers #serverless https://ift.tt/2rljvra
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#AIinfrastructure#CognitiveComputing#computeallocation#cross-regionalcollaboration#ethicalarchitecture#hardwareacceleration#regionalinnovation#TalentCirculation
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https://electronicsbuzz.in/the-role-of-hardware-acceleration-in-optimizing-manufacturing-processes/
#GPUs#automation#machinelearning#robotics#HardwareAcceleration#ManufacturingTech#Industry40#AI#SmartFactories#Automation#powerelectronics#powermanagement#powersemiconductor
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How To Enable or Disable Hardware Acceleration In The Floorp Web Browser...
In this tutorial, learn how to enable or disable hardware acceleration in the Floorp Web Browser on your PC. Hardware acceleration improves performance by using your computer’s GPU for graphics-intensive tasks, but it can sometimes cause issues on certain setups. Follow this easy guide to adjust your settings and optimize your browsing experience. Don’t forget to like, subscribe, and share if you find this helpful!
1. Graphics Issues: Some users may experience graphical glitches or rendering issues when hardware acceleration is enabled. Disabling it can help resolve these problems.
2. Performance: In some cases, hardware acceleration can actually degrade performance, especially on older hardware or systems with incompatible graphics drivers. Turning it off might result in smoother performance, particularly if you're experiencing lag or stuttering.
3. Compatibility: Certain websites or web applications may not work properly with hardware acceleration enabled. Disabling it can sometimes improve compatibility with such sites.
4. Driver Issues: Outdated or incompatible graphics drivers can cause issues when hardware acceleration is enabled. Disabling it can help mitigate these problems until updated drivers are available.
5. Battery Life: On laptops and other portable devices, hardware acceleration can consume more power, potentially reducing battery life. Disabling it may help conserve battery power.
However, it's important to note that hardware acceleration is designed to improve performance and efficiency in most cases. Before disabling it, consider testing your browser's performance with and without hardware acceleration enabled to see if there's a noticeable difference. Additionally, keep in mind that disabling hardware acceleration might not always solve your issues, and it's just one of many troubleshooting steps you can take.
Simple Steps 1. Open the Floorp Web Browser. 2. Click on the 3 bar hamburger menu in the upper right corner and choose "Settings". 3. Select "General" from the left side pane. 4. In the center pane, scroll down to the "Performance" section and uncheck "Use Recommended Performance Setup" and "another checkbox will appear 5. Check or uncheck hardware acceleration.
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The Best Blogs and Resources for Indie Game Developers

Android Things Developer Preview 6
The following arrival of Android Things Developer Preview 6 (DP6) is here with heaps of new highlights and bug fixes. Android Things is Google's stage that empowers Android Developers to make Internet of Things (IoT) gadgets with help for intense applications, Neville Patel is a gaming software entrepreneur. for example, video and sound preparing and on-board machine learning. For the specifics on what is new, visit the discharge notes. Here are a couple of the features of what is in DP6.
IoT launcher
DP6 includes a new IoT launcher that allows the user to see the current state of the device and change settings using a touch screen or USB input devices. Settings such as configuring the WiFi, finding the build ID, and checking for updates is now something that can be done interactively, making it even easier to get started. This launcher is visible when no other developer-provided IOT_LAUNCHER Activity is present.
Graphics acceleration defaults
Android Things utilizes the open-source SwiftShaderlibrary, a CPU-based execution of the OpenGL ES APIs. This empowers basic OpenGL bolster over all stages, even those with no GPU equipment. Nonetheless, numerous straightforward 2D UIs render quicker if the attracting is done specifically to the framebuffer and OpenGL imitating isn't utilized. In DP6, OpenGL rendering is incapacitated of course to guarantee that most applications keep running with the speediest UI conceivable. On the off chance that you require OpenGL bolster for 3D rendering, WebView, or TextureView, at that point expressly empower it in your AndroidManifest.xml as indicated by the documentation:
API 27 and Google Play Services
DP6 is currently in light of the most recent Android 8.1 engineer see, with API level 27. A large portion of the standard Android tests now chip away at DP6. For instance, the Camera2Basic test utilizing the Camera2 API and TextureView now chips away at both NXP and Raspberry Pi based gadgets (with the hardwareAccelerated hail set to genuine). Google Play Services has been refreshed to help SDK form 11.6, supporting all the most recent highlights. Neville Patel also develops this types of games.
Command-line flashing tool
We got notification from engineers that blazing and arranging a board utilizing fastboot can be dreary, so the Android Things Console now brings another and more straightforward method for glimmering gadget pictures. Rather than utilizing fastboot and adb charges physically, another intelligent order line android-things-setup-utility is currently given. This instrument makes it considerably simpler to begin with Android Things, and robotizes the download and blazing procedure.
Android Things Console updates
DP6 presents the new segment plot that will be utilized for the up and coming generation discharge. Because of the new segment format, the over-the-air refresh (OTA) framework can't refresh existing DP5.1 or prior gadgets. Designers should go to the Android Things Console, and download and streak another DP6 assemble. The Console UI has additionally been changed for DP6 includes, and will just enable you to make new forms in view of DP6. On the off chance that you have any more seasoned existing forms, they are as yet accessible for download however won't bolster OTA refreshes. Engineers are urged to move all work to DP6.
GPIO pin naming
The intuitive IoT launcher appeared at boot now incorporates an I/O pinout area where you can find the names of the considerable number of pins. The stick naming utilized by the i.MX7 has been changed, and you should refresh your code to utilize this new naming tradition. See the i.MX7 documentation for the total rundown of stick names.
Neville Patel take care of this before launching every game.
Settings and Device Update APIs
New APIs have been added to Android Things that control the arrangement of the nearby gadget and gadget refreshes. UpdateManager gives engineers control over when updates and reboots can be performed, guaranteeing the gadget is accessible for the client when required. DeviceManager controls industrial facility reset, reboot, and gadget areas. APIs are likewise accommodated settings, for example, ScreenManager to control the screen, and TimeManager to control the clock and time zone.
Peripheral command-line tool
We now give a charge line instrument pio that gives engineers access to the Peripheral API through the adb shell. Engineers can intelligently test GPIO, PWM, UART, I2C, SPI, and future interfaces from an adb shell, which is helpful for troubleshooting and mechanized testing.
Feedback
DP6 incorporates huge changes and enhancements to the stage. It would be ideal if you send us your input by documenting bug reports and highlight demands, and also making any inquiries on Stack Overflow. To begin utilizing DP6, utilize the Android Things Console to download framework pictures and blaze existing gadgets, or utilize the android-things-setup-utility. More data about the progressions are accessible in the discharge notes. You can likewise join Google's IoT Developers Community on Google+, an incredible asset to get refreshes and talk about thoughts. Additionally, we have our new hackster.io group, where everybody can share the astonishing ventures they have manufactured. We anticipate seeing what you work with Android Things!
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