What do you want to know today? Everything Binary. This is the best site for everything binary. From Gadgets, to Software and everything in-between.
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Its that time of the year again. Apple is going to announce their latest and greatest iPhone in the Apple Event 2023 aka Wonderlust Event
Expect to see periscope lens to upgrade the Pro Max phone with extreme zoom capabilities. The built of the phone will likely have a redesign- featuring titanium built and perhaps some sparkle effect (hence the name wonderlust - i wonder)
Also, the long awaiting USB C iphone may make its debut this round.
Artificial Intelligence (AI) has come a long way in recent years, and the field is now advancing at a rapid pace. One of the key drivers of this progress is the development of sophisticated algorithms and techniques that allow machines to learn and make decisions in ways that were once thought impossible.
One of the most notable examples of this is the rise of deep learning, which has allowed computers to perform tasks such as image and speech recognition with near-human accuracy. This has led to the development of a wide range of applications, from self-driving cars to virtual assistants, and has the potential to revolutionize many industries.
Another area where AI has made significant progress is in natural language processing (NLP). The ability to understand and generate human language has long been a goal of AI research, and recent advances in this field have led to the development of chatbots and other applications that can hold sophisticated conversations with users.
Despite these advances, there are still many challenges that need to be addressed before AI can reach its full potential. One of the main challenges is the lack of understanding of how AI systems make decisions, which makes it difficult to ensure that they are behaving in an ethical and responsible manner.
Another major challenge is the issue of bias, which can occur when AI systems are trained on biased data sets. This can lead to unfair or discriminatory results, and it is a problem that researchers are working to address.
Overall, while there is still much work to be done, the progress that has been made in AI over the past few years is nothing short of impressive. With continued research and development, it is likely that we will see even more exciting and transformative applications of AI in the future.
There are several advanced applications of AI that have been developed or are currently in development. Some examples include:
Autonomous vehicles: Self-driving cars and drones are examples of AI systems that can navigate and make decisions without human intervention. This technology has the potential to revolutionize transportation and logistics.
Medical diagnosis and treatment: AI systems are being used to analyze medical images and make accurate diagnoses, as well as to assist in surgical procedures.
Drug discovery: AI is being used to analyze large amounts of data in the search for new drugs and treatments. This can speed up the process of discovering new therapies and make it more cost-effective.
Robotics: AI is being used to develop robots that can perform tasks such as cleaning, cooking, and manufacturing. These robots can work alongside humans or in place of them, improving efficiency and safety.
Finance: AI is used in various financial applications such as fraud detection, risk assessment, and financial forecasting.
Cybersecurity: AI is being used to detect and respond to cyber threats in real-time, by analyzing large amounts of data and identifying patterns that indicate a potential attack.
Natural Language Processing: AI systems are being used to understand and generate human language, which enables them to communicate with users in human-like ways.
Climate and environmental monitoring: AI is being used to monitor and analyze data from sensors and cameras in order to track changes in the environment and predict future weather patterns.
These are just a few examples of the many ways in which AI is being used to solve complex problems and improve our lives. With continued research and development, it is likely that even more advanced applications will be developed in the future.
One of the most promising applications of AI in green energy generation is the use of machine learning algorithms to optimize the performance of renewable energy systems such as solar and wind power. These algorithms can be used to predict and adjust for factors such as weather patterns, power demand, and equipment failures, which can help to improve the overall efficiency and reliability of the system.
For example, AI can be used to predict the output of solar panels based on weather data, and adjust the power grid accordingly. This can help to ensure that the right amount of energy is being generated at the right time, reducing the need for fossil fuel-based power plants to provide backup energy.
AI can also be used to optimize the control of wind turbines, by analyzing sensor data and adjusting the pitch of the blades to maximize energy production. This can help to reduce the wear and tear on the turbines and improve their overall efficiency.
Another application of AI in green energy generation is the use of computer vision to monitor the condition of solar panels and wind turbines. This can help to identify potential problems before they become serious, which can reduce downtime and repair costs.
Lastly, AI can also be used to optimize energy storage systems, such as batteries, by predicting energy demand and adjusting the charging and discharging of the batteries accordingly. This can help to ensure that energy is available when it is needed and reduce the need for expensive grid-scale energy storage systems.
Overall, the use of AI in green energy generation has the potential to significantly improve the performance, efficiency and reliability of renewable energy systems and help to accelerate the transition to a more sustainable energy mix.
It’s been a long time. The blog has been left untouched for some time due to lots of personal problems and health related stuff (including Covid-19).
I’m thinking if the site should be rebooted. Or migrated to Web3.0 platforms like Steemit or Hive.
Blockchain is kinda the future of the internet right ? BinaryEverything on the Blockchain. Has a ring to it.
An AI art generator is a computer program that can generate images based on tinput. This input can be a number, a word, an image, or even an audio file. The artist has to provide the art generator with these inputs and it will generate the artwork based on them.
There are many different types of AI art generators that people can use. Some of them are more popular than others because they have been around for longer and have better features. These include Generative Adversarial Networks (GANs), Artificial Neural Networks (ANNs), and Deep Learning Neural Networks (DLNNs).
Currently 10 best AI generators include
I came across this software that will facilitate adding any Wired USB device into a wireless one.
The software is called VirtualHere : https://virtualhere.com/home
VirtualHere allows USB devices to be used remotely over a network just as if they were locally connected!
but the server can accept multi-USB devices... say if you have a RASP Pi with a USB hub HAT, you can just have one license to cover multiple devices. neat.
Tuesday, May 18th:
What’s new in Android (1:30PM PDT/4:30PM EDT)
What’s new in Google Play (2:00PM PDT/5:00PM EDT)
What’s new for the web platform (2:15PM PDT/5:15PM EDT)
Wednesday, May 19th:
Progressing Progressive Web Apps (8:00AM PDT/11:00AM EDT)
What’s new in machine learning (9:00AM PDT/12:00PM EDT)
What’s new in Google Assistant (9:45AM PDT/12:45PM EDT)
What’s new in Material Design (10:15AM PDT/1:15PM EDT)
What’s new in ChromeOS (10:45AM PDT/1:45PM EDT)
What’s new in Android Accessibility (12:00PM PDT/3:00PM EDT)
What’s new in Google Pay (2:15PM PDT/5:15PM EDT)
New capabilities in ARCore (3:15PM PDT/6:15PM EDT)
What’s new in smart home (4:15PM PDT/7:15PM EDT)
Thursday, May 20th:
Live chat with Android Developers (4:00AM PDT/7:00AM EDT)
Project Fugu and you (9:00AM PDT/12:00PM EDT)
Building trusted AI products (9:00AM PDT/12:00PM EDT)
A all in one computer
As you know Huawei has been under attack by US using banning tactics to prevent gett chips made, and support for software components developed by US (ie Google)
Huawei response so far is to abandon Android, and pursue it's own mobile OS called HarmonyOS (ver 2.0 at current time).. which is based on LiteOS that could integrate with IoT.
The problem is whether they can encourage enough developers to port the Apps over to their new platform.
I believe Huawei need a killer App that is missing from iOS of Android platform... that may force people onto the HMS platform. An incremental HMS that is super powerful? if there are API that photography apps can hook into to do new capabilities that werent easily done before?
As an existing camera app on iOS or Android can not only easily port to HMS/HarmonyOS, but also can add new features without much effort. The App would then look superior on the HMS platform.
Also, currently Huawei is still focused on ARM and possibly JAVA... Any possibility they will go RISC V?
What kind of killer app can Huawei launch ? Perhaps getting EPIC onboard may also be one interesting area they can look at.
| 80系列驱动 | 80mm芯烨打印机所用驱动 |
| 打印方式Printing method | 直接行式热敏 (direct thermal) | |
| 打印宽度 (print width) | 72mm 纸宽 | |
| 点密度 (resolution) | 576点/行或512点/行 | |
| 打印速度 (print speed) | 160毫米/秒 | |
| 接口类型 (connection type) | USB、网口、USB+蓝牙、9P串口+USB、25P并口 (USB, Ethernet port, Bluetooth) | |
| 打印纸 (Paper) | 79.5±0.5毫米×φ80毫米 (80mm width) | |
| 行间距 | 3.75毫米（可用命令调整行间距） | |
| 列数 | 80mm 纸 : 80mm 纸:Font A - 42列或48列/Font B - 56列或64列 / 简、繁体 - 21列或24列 | |
| 字符大小 | ANK字符，Font A：1.5×3.0mm（12×24点） Font B：1.1×2.1mm（9×17点） 简/繁体：3.0×3.0mm（24×24点） | |
| 条码字符 | 扩展字符表 | PC347（Standard Europe）、Katakana、 PC850（Multilingual）、PC860（Portuguese）、 PC863（Canadian-French）、PC865（Nordic）、 West Europe、Greek、Hebrew、East Europe、Iran、WPC1252、PC866（Cyrillic#2）、PC852（Latin2）、PC858、IranII、Latvian、Arabic、PT151（1251） |
| 条码类型 | UPC-A/UPC-E/JAN13（EAN13）/JAN8（EAN8）/ CODE39/ITF/CODABAR/CODE93/CODE128 | |
| 缓冲 | 输入缓冲 | 64k bytes |
| NV Flash | 256k bytes | |
| 电源 (power) | 电源适配器 Input Power | 输入：AC 110V/220V, 50～60Hz |
| 电源 Output power | 输出：DC 24V/2.5A | |
| 钱箱输出 Cash register Power | DC 24V/1A | |
| 物理特性 | 重量 | 1.03千克 |
| 外观尺寸 | 190×140×131毫米 (深×宽×高) | |
| 环境要求 | 工作环境 | 温度: 0～45℃, 湿度: 10～80% |
| 存储环境 | 温度: -10～60℃, 湿度: 10～90%（不结露） | |
| 寿命 | 切刀寿命 | 100万次 |
| 打印头寿命 | 100公里 |
