[Inventory] 15 open source top artificial intelligence tools
Artificial intelligence, AI is one of the most popular directions in scientific research. Companies like IBM, Google, Microsoft, Facebook, and Amazon are investing heavily in research and development, or acquiring startups that have made progress in machine learning, neural networking, natural language, and image processing. Given the level of interest in this, we will not be surprised by the conclusions of Stanford's experts in the artificial intelligence report: "The increasingly powerful artificial intelligence application may have far-reaching implications for our society and economy. Positive impact, this will appear in the time period from now to 2030." In a recent article, we outlined 45 very interesting or promising artificial intelligence projects. In this article, we will focus on open source artificial intelligence tools to learn more about the 15 most famous open source artificial intelligence projects. The following open source artificial intelligence applications are at the forefront of artificial intelligence research. Caffe It was created by Jayan Yang at the University of California at Berkeley, and Caffe is a deep learning framework based on expression architecture and extensible code. What makes it famous is its speed, which makes it popular with researchers and business users. According to its website, it can process more than 60 million images with just one NVIDIA 40 40 GPU in one day. It is managed by the Berkeley Vision and Learning Center (BVLC) and is funded by companies such as NVIDIA and Amazon to support its growth. 2.CNTK It is the abbreviation of Computational Network Tool kit, a computing network toolkit. CNTK is a Microsoft open source artificial intelligence tool. It performs well on a single CPU, a single GPU, multiple GPUs, or multiple machines with multiple GPUs. Microsoft mainly uses it for speech recognition research, but it has a good application in machine translation, image recognition, image subtitles, text processing, language understanding and language modeling. 3.Deep learning 4j Deep learning 4j is an open source deep learning library for the Java Virtual Machine (JVM). It runs in a distributed environment and is integrated into Hadoop and Apache Spark. This allows it to configure deep neural networks and is compatible with Java, Scala and other JVM languages. The project was managed by a commercial company called Skymind, which provides support, training and a corporate distribution for the project. 4.DMTK DMTK is the abbreviation of Distributed Machine Learning Toolkit, which is a distributed machine learning tool. Like CNTK, it is Microsoft's open source artificial intelligence tool. As an application designed for big data, its goal is to train artificial intelligence systems faster. It consists of three main components: the DMTK framework, the Light LDA topic model algorithm, and the distributed (poly) word embedding algorithm. To prove its speed, Microsoft claims that on an eight-cluster machine, it can "train a topic model with a vocabulary of 1 million topics and 10 million words (a total of 10 trillion parameters), collecting 1000 in one document. Billions of symbols,". This achievement is unmatched by other tools. 5.H20 Compared to research, H2O pays more attention to serving AI to corporate users. Therefore, H2O has a large number of corporate customers, such as First Capital Financial, Cisco, Nielsen Catalina, Pay Pal and Pan American. It claims that anyone can harness the power of machine learning and predictive analytics to solve business problems. It can be used for predictive modeling, risk analysis and fraud, insurance analysis, advertising technology, health care, and customer intelligence. It comes in two open source versions: the standard version of H2O and the Sparking Water version, which is integrated into Apache Spark. There are also paid enterprise user support.
24HR Electronic timer socket with photocell.
â‘ Light intensity setting
â‘¡ Light intensity detection
â‘¢ Countdown Timer ON & OFF
â‘£ 4 MODES:
Set > Detected: When the light intensity detection value is less than the set value, switch ON or OFF.
Detected > Set: When the light intensity detection value is greater than the set value, switch ON or OFF
ON : Always ON
OFF : Always OFF
NOTED:
1. The light intensity displayed by this machine is not the standard light intensity value (Lux), only the relative light intensity value.
2. The light intensity value is affected by the placement position and direction. Please determine the position first and then set it according to the actual light intensity detected. If you change the position or change the orientation, you need to reset the light intensity setting value suitable for the new position.
3. This product has built-in rechargeable battery. If it is not connected to AC for a long time, you need to connect the power supply to charge until the LCD can display normally.
MANUAL OPERATION
1. Press [UP" or [DOWN" to set the LUX value.
2. Press the [SET" key to start setting, and the P1 settable items will be flashed.
3. Press [UP" or [DOWN" to adjust the value.
4. Press [SET" key again to exit setting or enter next setting for countdown timer.
5. Repeat the [SET" key to start setting, and the P2 & P3 settable items will be flashed.
6. Press the [FUN" key to switch the working state in the following:
Set > Detected -> Detected > Set -> ON -> OFF
Set > Detected: Automatically switches when the detected ambient light intensity is darker than the set value
Detected >Set: Automatically switch when the detected ambient light intensity is brighter than the set value
When the brightness meets the setting conditions, the countdown starts as below:
Note:when the countdown is ON, the detected value is not displayed.
When the brightness does not meet the setting conditions, the countdown stops and waits:
After the countdown ON is reduced to 0, the countdown OFF starts immediately and the power is OFF.
A. If the light intensity meets the set conditions, a new round of countdown will be started;
NOTE:
1. If the power is cut off while the countdown is running, the countdown will be terminated immediately and the relay output will be off. After the power is turned on again, a new round of brightness detection will start.
2. Modifying the brightness value in the countdown operation will not affect the current countdown operation. After the off time of the current countdown, the new brightness setting value will take effect.
3. In the countdown on operation, change the setting value of the countdown on, this countdown will still be timed according to the original setting value; the new setting value will take effect when the next countdown on starts.
Manual Control
Power Detection and Standby Mode
Photocell Timer, Photocell Timer Socket, Photocell Sensor, Photocell Sensor Socket, Sensor Plug, Sensor Switch Socket, Digital Photocell Timer, Digital Sensor Timer NINGBO COWELL ELECTRONICS & TECHNOLOGY CO., LTD , https://www.cowellsockets.com
After the countdown OFF is reduced to 0:
B. If the light intensity does not meet the set conditions, keep the power off and wait for the light to meet the conditions before turning on automatically.
4. In the countdown off operation, change the setting value of countdown off, this countdown will still be timed according to the original setting value; the new setting value will take effect when the next countdown off is started.
NOTE: the brightness setting value, countdown ON or countdown OFF, any one of which is equal to 0, cannot be switched ON or OFF automatically.
When ON or OFF is displayed, it means that the power supply remains ON or OFF, as shown in the figure below:
With AC power supply, the icon 
lights up and works normally.
When there is no AC power supply, the icon goes out, the brightness is not detected at this time, and the system enters the standby mode.