Electronic enthusiasts eight o'clock: Continued increase in investment in artificial intelligence shows the adjustment of Qualcomm strategy, although mobile phone and communications patents are still the largest source of profit for Qualcomm.

A few days ago, Qualcomm announced that it would acquire the Dutch machine learning startup Scyfer. Scyfer is an artificial intelligence company based in Amsterdam that has been spun off from the University of Amsterdam (QUVA) and has focused on a wide range of machine learning technologies. Just last month, Qualcomm also invested in Brain Corp, an artificial intelligence company based in the United States.

"From my personal point of view, there are indeed many startups in the field of artificial intelligence. On this hand, Qualcomm will pay close attention to it and take action when necessary. On the other hand, Qualcomm itself has a very strong innovative research and development capability to maintain its position in the AI ​​field. Competitive." On the 23rd, Jeff Gehlhaar, vice president of engineering and technology at Qualcomm, told reporters including the First Financial News at a telephone communication meeting that the first personal intelligence project was launched in 2007. Qualcomm has been in the field for ten years. The research and development accumulation will continue to strengthen its research position in the field of artificial intelligence.

At the same time, he said that in the future, smart phones will become the biggest carrier of artificial intelligence.

"Scyfer can strengthen Qualcomm's research and development in the field of intelligence and complement Qualcomm's talent in the AI ​​field." Jeff Gehlhaar told reporters that Scyfer has been working for companies in the manufacturing, healthcare and finance industries, and in the Industrial Federation. The company has strong research and development capabilities, and its founder, Max Welling, is a well-known professor at the University of Amsterdam and a leading researcher in artificial intelligence.

Wang Yanhui, secretary general of the China Mobile Alliance, told reporters that the neural network systems of big companies like Google, Facebook and Microsoft can also run on standard computer chips such as CPU. Qualcomm needs to accelerate its field of mobile smart chips and artificial intelligence. Status, acquisition and investment are good paths.

In fact, Qualcomm's ambitions in the field of artificial intelligence have been not small. In 2007, it started the artificial intelligence project and began to explore the machine learning pulse neural method for computer vision and motion control applications, and then extended its research scope from the bionic method. Go to the artificial neural network.

Qualcomm believes that mobile phones will become the most popular artificial intelligence AI platform.

“Artificial intelligence provides an enhanced experience and new features for smartphones.” Jeff Gehlhaar told reporters that in the era of artificial intelligence, mobile phones will become true personal assistants, in addition to providing excellent photos, there is greater security. When it comes to data security, he deliberately cites Google's example. "Google has released an edge artificial intelligence solution, but it does not necessarily meet the privacy requirements."

But this does not prevent software vendors and Internet vendors from investing in AI.

For example, Microsoft’s fire in Nuno, Hawaii, announced that it will build artificial intelligence chips for the new Hololens AR device, and Google has its own artificial intelligence chip TPU, which is now widely used in Google’s numerous data centers. These data centers support Google's online empire. There are also Facebook, as well as companies such as Baidu and Ali in China, which also have a lot of action in the field of artificial intelligence.

Even the mobile phone manufacturer Huawei is also in the layout. The upcoming Huawei AI chip mainly involves algorithm optimization in computer vision, speech analysis and deep learning.

The way artificial intelligence hardware is presented in the future may be diverse, but in Qualcomm's view, artificial intelligence devices are first high-performance, low-power devices, and then can use existing wireless communication technologies to achieve the use of 5G devices and the cloud. Smart fit and connection. And these are the areas that have been focused on for a few years.

However, Jeff Gehlhaar also acknowledges that artificial intelligence is complex, inherently demanding, requires intensive computing, is always online and is a complex neural network model, and the computing environment like a smartphone is very limited, and needs to overcome battery life, memory and The problem of efficient heat dissipation. This also means that it is not easy to achieve “real” artificial intelligence.

Nano Atomizer

With more than 15+ yrs rich MFG experience, you can definitely trust in and cooperate with.
Provide you with the supply of Personal Protective Equipment. to help you safely get back to your daily routine.
Our products include pulse Oximeter Finger, Forehead Thermometer, Automatic foam soap dispenser, etc.
Our strict quality control protocol thoroughly vets every aspect of production, storage, and shipments all the way way to our end customers.


nano spray gun, nano spray gun disinfectant, nano spray machine

TOPNOTCH INTERNATIONAL GROUP LIMITED , https://www.micbluetooth.com