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Do you think AI and Machine learning are being overhyped?

Do you think AI and Machine learning are being overhyped?

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We have been talking about the power of machine learning and AI all over the year. AI is described as the super intelligence that can think, learn, and reason about the world. It seems like we sometimes forget that AI, to its nature, is just code and statistics with various limitations.

Data scientists are building machine learning algorithms to understand the world and extract marketable/profitable insights from the big data humankind is generating. In many cases, AI is painted as a living entity that has its own thoughts about the world while in fact, it is machine algorithms that can find patterns in big data through analytics and programming. AI creators say that their AI can learn while all they do is providing machine algorithms with new sets of data that they have picked and curated.

It is misleading when data scientists claim that algorithms have “created” something while all they do is to use statistics they get from training data to generate some unexpected results. If that is what makes AI the superhuman entity that can end human civilization, we don’t need to worry about that illusional prospect.

As the research and development on AI and machine learning progress, some developers and businesses even bring their success in AI further by exaggerating the ability of their AI algorithms. It is understandable that they want to make people think of AI as the superpower that can change the world for marketability and profits. However, such marketing tactics can be dangerous and harmful if those machine learning algorithms are rushed to production into products that can affect human life like those applications in healthcare, driverless car, or government operations.

Nobody can deny the power of AI and deep learning; nonetheless, they should be seen as they are so that they can be properly developed and used. AI, even when placed into a silicon body, or an artificial brain, is still a mathematical incarnation, not an intelligent entity. Algorithms can be trained to analyze and make sense of the big data from the world, but they are purely machine instruction that humans need to guide and manually tune for each application. They can’t learn to adapt themselves to the new environment as living entities can.

Many people may argue that the above issues are simply the matter of terminology and shouldn’t be taken too seriously. But we should. Because we are deploying AI applications into many areas that can directly affect human life. If we continue to praise AI and machine learning as the almighty, we may overlook their limitations and risks when adopting them. The consequences of a single mistake in AI deployment can be severe, dependent on the scale of the operation.

AI and machine learning will go far beyond their current states, bringing critical changes to the world. We should not deter their advance and development; however, we should stop overhype about them. The key to successfully developing and deploying AI is to be realistic about both its abilities and its limitations. That is the only we can leverage the technology for our sake without risking our own safety.

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What is new about Huawei’s “big data” chip?

What is new about Huawei’s “big data” chip?

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Earlier this week, Huawei — the world’s largest vendor of telecoms equipment — introduced its new CPU and server series for handling big data. The release is another move to increase its independence of imports from the US as the trade tension between China and the US is escalating.

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According to Huawei, the new Kunpeng 920 CPU has a 7-nanometer process which enhances the processor performance by 25 percent compared to the industry benchmark. The cutting-edge CPU helps to reduce power consumption by up to 30 percent. The company also opened its new series of servers named TaiShan which use the Kunpeng 920.

These new releases target the demand for corporate data centers that use algorithms to process big data to generate customer insights and improve business performance. Huawei’s new big data chip uses the ARM architecture.

In a press release, Huawei representative said that its new Kunpeng 920 CPU and TaiShan servers primarily serve the big data industry, the distributed storage sector, and ARM native applications. As it believes in the development opportunity of the ARM industry, the company is open to collaborating with partners around the world to nurture the ARM ecosystem and expand the computing space to prepare for a more diversified computing era.

Huawei’s new products are among many new releases by Chinese tech companies, following the Chinese government’s push for the leading position of innovative technologies including artificial intelligence, automation, chip design, and next generation of mobile network. With its ambitious “Made in China 2025” plan, China is aiming to transform its manufacturing power, focusing on 10 emerging hi-tech sectors like next-generation IT, clean-energy vehicles, biotech, and robotics.

Huawei, as well as other China-based tech companies like Alibaba or Tencent, have made enormous investments in the hi-tech industries like cloud computing, big data, artificial intelligence, automation, etc. They have the support from the Chinese government as well as a giant domestic market to back them. These companies are growing rapidly, being the main competitors of other tech businesses, including some giants from the US.

The US government sees the plan as a threat to its leadership in the tech world in particular and in the world in general. The White House finds China’s state-led plan violating WTO rules and is potentially unfair for foreign investors in China. Amid the trade tension between two superpower nations, Huawei was dragged into the war when Washington said that Huawei’s network equipment posed significant security risks.

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Last October, Huawei revealed two AI-enabled microchips, Ascend 910 and Ascend 310, which were claimed to open the door for AI application to enter all walks of life. Earlier last year, Huawei also introduced the Kirin 980 chipset for its mid-to-high-end smartphone handsets. With the continuous releases of chips and processors, Huawei is provings its chipset design capacity and less dependent on foreign suppliers like Nvidia, AMD, and Qualcomm.

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