In August last year, IBM announced chips that operate in a similar way to human brain neurons and synapses. According to the MIT Technology Review website, IBM has begun to develop a new generation of human brain analog chips, enabling mobile devices to better accomplish tasks that are fairly easy for the human brain but difficult for computers. , for example, speech recognition and interpretation of pictures. John Kelly, senior vice president of IBM Research, said, "We are developing a new generation of chips, but the most important thing now is to find a business partner. Companies can use this chip for all kinds of mobile devices. , machines, cars and other products."
According to the MIT Technology Review, Curley calls products such as mobile phones with brain-inspired chips that allow them to recognize what the owner is saying and track what is happening around them. The products closest to this technology can "understand" a few keywords. Users can wake up Apple's latest iPhone by saying "Hey Siri", and "OK Google" can wake up some Android phones.
IBM's TrueNorth chip architecture was developed through a project funded by the US Department of Defense's Advanced Research Projects Agency to enable portable computers to run advanced image or speech recognition without the need for cloud computing technology and with very low power consumption. Machine intelligence software.
Collie said that IBM is negotiating with the well-known computer system manufacturers to apply TrueNorth, but did not disclose specific partners, "we are negotiating with manufacturers in the mobile and IoT sectors." The TrueNorth chip can be used as a "coprocessor" in the device.
The TrueNorth chip, released in August last year, is about the size of a stamp, with 1 million silicon "neurons" and 256 million synapses. TrueNorth's energy consumption is less than one-thousandth of the cost of a conventional chip. In IBM's demonstration, its neural network can perform tasks such as identifying different vehicles in the video in real time.
However, because the TrueNorth chip is very different from existing computer chips, it requires a new approach to software development. Its pseudo-neurons work differently than software-based artificial neural networks. Recently, through a method called "deep learning," Google, Facebook, and Microsoft have made breakthroughs in using artificial neural networks to process speech and images.
According to the MIT Technology Review, neurons in the IBM TrueNorth architecture use electronic switches "spikes" to encode data that mimics the spikes in biological neurons. The simulated neurons used in deep learning do not use spikes.
In terms of tasks such as speech recognition or image processing, artificial neural networks that use spiked neurons—including IBM's technology—are not as good at performing similar techniques as deep learning. Yann LeCun, head of Facebook's artificial intelligence lab and deep learning expert, questioned the practicality of artificial neural networks using spiked neurons.
Dharmendra Modha, who is responsible for IBM brain-inspired chip development, argues that spikes are critical for neural networks running on low-power chips. He said his team has begun to develop tools to port a well-trained deep learning neural network to the TrueNorth chip. "The chip is a matrix that maps a wide variety of neural networks."
Terrence Sejnowski, head of the computational neurobiology laboratory at the Salk Institute for Biological Research, says that portable computers can be intelligent without consuming large amounts of energy or using cloud computing technology. Tasks, spike neurons are important.
The MIT Technology Review points out that even if IBM's brain-inspired chip architecture and deep learning technology are "reconciled," they will face competition. Google is already developing artificial neural networks that can run on existing mobile devices. Several companies, including well-known mobile chip maker Qualcomm, are developing chips to run existing deep learning software on computing devices such as mobile phones and on-board computers.
Concerned about surprises
This classification including Rectangular Hollow Section Steel Pipe, usually they are used for construction purpose, also some customer use them for car , billboard, stents, fence etc.
Jinan Xin Jiyuan is specialized in ERW and Seamless square&rectangular tube/pipe, hollow section structure pipe, and galvanized pipe in China. Annual output reaches 1.5 million tons. We have 2 production lines, could producte square pipe from 20*20*1mm to 600*600*35mm, rectangular pipe from 20*30*1.2mm to 600*800*35mm. Xin Jiyuan can manufacture square rectangular pipes as per the standards of ASTM A500, JIS G3466, EN10219, EN10210,DIN2240, BS1387, AS1163. Steel Grade: A500 GR.A/B/C/D, SS400, STKR490, S355JR, S275JO, S275J2, S355J0, S355J2, C350, C350 L0 ect.
We have three heat treatment furnace, two furnace of 100 mt, and one furnace of 300mt, that means we could finish 500mt goods at the same time.
Rectangular Hollow Section Steel Pipe
Rectangular Hollow Section Steel Pipe,Rectangular Hollow Section Steel Pipe Tube,Square Hollow Section Steel Pipe,Quality Hollow Section Steel Pipe
JINAN XIN JIYUAN SPECIAL SECTION TUBE CO., LTD. , https://www.squarepipes.com