In recent years, “artificial intelligence” has gradually become one of the hottest concepts in the technology industry. Tech giants are chasing “artificial intelligence” one after another, leading to many acquisitions in this field. According to media reports, in the past five years, Apple ranked first in the technology industry in terms of the number of acquisitions of artificial intelligence companies.

A report released by GlobalData, a world-renowned data analysis company, shows that from 2016 to 2020, Apple has acquired a total of 25 artificial intelligence companies, more than Accenture, Google, Microsoft and Facebook. It is reported that the artificial intelligence companies acquired by Apple include Silk Labs, Turi,, Unductiv, Voysis, PullString, etc. Apple was relatively low-key when acquiring these companies and did not disclose the details, but its acquisitions are generally to obtain advanced technology or excellent talents, which will enhance Apple’s machine learning and Siri voice assistant product strength.

Among them, Unductiv’s technology can help improve Siri’s data, Voysis can improve Siri’s natural language processing technology, and PullString can help Siri integrate with third-party iOS applications.

The analyst who wrote the report, Nicklas Nilsson, said that in the field of voice assistants, Apple Siri was the first to be born, but it lags behind the two rivals in terms of intelligence. This disadvantage has also affected Apple’s performance in the smart speaker market. In order to catch up with Google’s “Google Assistant” and Amazon’s Alexa, Apple has launched a frantic acquisition in the field of artificial intelligence.

It is worth mentioning that Apple CEO Cook said in February this year that in the past six years, Apple has acquired about 100 start-up companies. Cook said that Apple remains open to mergers and acquisitions of companies of any size, but pays more attention to small-scale and innovative companies. Their technology can complement Apple’s products and the acquisition will also benefit the development of the target company.


By zhiwo

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6 months ago

Crazy? I don’t think so. The A11 Bionic with integrated NPU (Apple’s name is NE) was launched in 2017, and it has been three and a half years. After the A12, A13, A14, the NPU performance has improved considerably: A11 0.6T, A12 5T, A13 6T, A14 11T. Every year, Apple will show several examples of how neural networks can improve user experience. For example, in the iOS 14 press conference, there are several: Translate the new iOS 14 has a new translation App, you can start a completely disconnected local translation function by downloading data, support Chinese Mandarin, support historical records, support the same Screen translation, full-screen display, etc., convenient to use when communicating with people. The new map application of Maps is more intelligent, supports bicycle lane recognition, and can also see altitude, road conditions, charging stations and other information when planning a trip. Scribble This should be the biggest highlight of the iPadOS update, handwritten text It can be used as input method content for single-select and all-select copy operations. At the same time, the global text box supports direct handwriting recognition, and you can input content without even calling the input method. On the basis of Scribble, handwritten text can be intelligently selected and pasted into normal text. It also supports the shape recognition function that comes with other note-taking apps earlier. For example, lines that are not straight can be automatically modified into ideal shapes, etc. It can also intelligently recognize handwritten phone numbers, addresses and other information. An update that sports individuals like very much. On the basis of the original multiple sports, watchOS 7 adds a new dance mode, and includes multiple dance styles such as black fear and Latin. It can even recognize individual foot movements and Upper body movements, etc., are much smarter than Switch’s full dance, and they can also achieve good exercise effects. But the popularization of AI is still too slow, and many results are not satisfactory. I personally think that as far as personal terminals are concerned, the ultimate goal of AI should be able to play most of the role of the personal butler + secretary team. What I want to do, just order it; if I want to know, just ask Can someone tell me. Obviously, today’s smart terminals are still too far away from this goal. There are many scenarios because the current artificial intelligence technology is not mature enough; but there are more scenarios where the existing artificial intelligence technology has not been applied. Why is AI in the industry now the outlet? Because this industry sells computing power. To sell high-performance chips that represent more computing power, the premise is that users have computing power needs. The demand for computing power comes from two aspects: data volume and computational complexity. But at present, for individual users, the easiest to obtain and digest and the amount of data is large enough. There are only video content in general applications. The data volume of one-minute high-definition or even 4K video is between 6 and 76 GB, but this demand is currently Most people are satisfied enough, and then continue to improve the resolution, frame rate, color depth to increase the amount of data, “perception is not strong”, just like most people will not buy more than 300 yuan of wired headphones, 500 yuan of traditional speakers . As for more general applications, the single-core performance of the A14 is about to catch up with the desktop’s strongest Zen3 5950X (the A14 can’t keep up due to frequency issues, but the derivative 3.2 G M1 has played well with the 5950X), and What needs cannot be met? Without new computing power requirements, to whom will higher-performance terminal equipment be sold? Just a small group of wealthy enthusiasts? Or is it a business user who has a lot of money and a lot of things, or even no money and a lot of things? ——If you give enough money, Intel, Microsoft, and NV are still willing to wait for the uncle of these companies to die, Apple, how many enterprise-level products have you seen? What if individual users do not have new computing power requirements? Take a look at Intel today. After squeezing toothpaste for ten years, I still have to suck it back by myself. This is because people are willing to serve enterprise users. The data center department contributes half of the revenue. If the amount of data of the existing content cannot be increased, then increase the computational complexity-the current artificial intelligence, to be more specific, neural network is such an algorithm, 100 MB of data is iterated a hundred times to 10 GB (in fact, it can’t be counted as such. , Everyone can experience it), which can greatly increase the demand for computing power of individual users, provided that individual users can use it. Therefore, before the emergence of new applications with universal applicability, large enough data volume or more complex calculations, the rapid promotion of the use of AI in ordinary users’ daily use scenarios is naturally Apple’s primary goal, and it is better than other companies in the industry. Much more urgent. So, buying 25 companies in four years, with an average of more than 6 companies a year, crazy?

6 months ago

In the United States and in Silicon Valley, the average annual acquisition scale of 5 small companies is not really big. In the United States, large companies are keen to gather high-level talents through the acquisition of some start-ups and small companies, and high-level talents in the United States are also keen to start businesses to explore the commercial market. If there is resistance, as long as they have enough technical strength to wait for large companies to acquire them, they can also By allowing high-tech talents to obtain sufficient value to cash in, angel investors can also secure a bottom or make a small profit. But in China, there are fewer. First of all, large companies are more keen on digging corners to acquire talents, and regard copying existing technologies or not paying attention to original technologies as routine. Small businesses lack a general legal awareness of intellectual property and patent protection, and they cannot withstand the test of time and financial pressure of legal disputes. Therefore, even if you rarely hear of domestic leading companies acquiring small companies, don’t think that it is crazy for large American companies to acquire 25 small companies.

6 months ago

I remember that there is a law in the United States that I don’t remember. They are restricting the cash reserves of companies like Apple that have too much cash flow. Once they exceed a certain fixed ratio or amount limit, they have to pay particularly high taxes and fees, and the legend Apple has trillions of cash reserves, so it will inevitably face high taxes. This is why Apple’s crazy acquisition of companies happened. It’s not that they really want to buy, but the law forces them to spend money. The rest is the question of how to spend the money. Of course, Apple has many experts, and the bigwigs at all levels have their own judgments about the future. They are more optimistic about high-tech companies or high-quality companies. The only value of these companies is to enhance the product strength of the Apple brand, and let Apple personally All kinds of products have added value.

6 months ago

The upper-level management of the technology giants certainly has a forward-looking view of the development of science and technology to feed the market. Although artificial intelligence technology is hidden in the deep layer of the product, the causality is not so obvious, but according to the general trend, others are working hard. If you have money, you will not give up competition and pave the way for future capabilities. Apple lacks artificial intelligence technology, it must purchase more, and after the purchase, it must be digested and integrated into its own practice, otherwise it will be in vain.

Last edited 6 months ago by sina156
6 months ago

The micro-innovation ability of Apple Daddy’s technological improvement is the world’s first. At this stage, AI should be more positioned as a tool that assists humans, transcends human biological limits, and helps humans evolve. Instead of replacing humans. If Google’s Alpha Dog can replace human chess players, it is based on huge computing power and massive deep learning. If the same size and energy consumption hardware is still not as good as human computers, then the replacement of human AI will always be Disability. Therefore, Apple’s acquisition of so many AI companies does not mean that Apple wants to invent cross-generational products to replace humans, but to improve its software and hardware to make its own products more user-friendly and easier to use. So this doesn’t explain any problems, AI continues to develop, continue to play, MR is not good. As the current technology investment is booming and capital can accept a very low incubation rate, let the capital continue to burn money. Who knows where the next technology leader will be born? I hope that one day soon, I can put on the octopus suit in Crysis, then please call me a prophet.

6 months ago

In fact, we can see a trend. Domestic AI companies are generally cutting leeks in combination with big data. For example, face recognition is cutting leeks for buyers, and big data personalized recommendations squeeze profits and traffic. The live broadcast platform’s ten-level beauty is so that you don’t even know it. Engage in false prosperity. But Apple’s idea of doing these is completely different. Apple’s idea is to continuously integrate AI into the experience, and gradually cooperate with wearable devices to gradually integrate AI into the user experience without consciously using AI-supported products. The result of this idea may be that once you are familiar with the system, you will not be able to withdraw, and changing the platform will cause a very strong sense of inapplicability.

6 months ago

The part that can’t be innovated is that the acquisition of innovative companies will be their own industry. It’s very convenient, but it’s a bit expensive. Is it true? Then, are our browsing records and call voice content captured and analyzed by AⅠ, and sent to some sales companies related to the needs or related vocabulary, and then the customer service staff will call for communication (harassment)? Previously, it was said that various APPs steal information and resell them. AI is easy to use, but the humanistic philosophy for AI is not deep, and I can’t accept being monitored in my heart. ​

6 months ago

I have always felt that a high degree of intelligence is the future development direction of mobile phones. I have a weird standard for buying a mobile phone, which is to see if it can “smoothly use the voice assistant to send WeChat messages.” The reason is simple, I am lazy. After I received the WeChat message, I looked at the notification bar to know who posted what, and then I just said “Hey, send me a WeChat message to XXX, the content is…” It frees my hands perfectly and saves opening A series of steps to open a dialog box on WeChat to enter text and click to send. At present, only Apple has done a good job.

6 months ago

Looking at the development trend of the industry, the most authoritative information is the state’s support for the industry and favorable policies. From the perspective of our country’s national conditions, it is the 14th Five-Year Plan that was just released this year. The outline of the 14th Five-Year Plan and the long-term goals for 2035 In the article, artificial intelligence has been mentioned many times, which is enough to see the importance of artificial intelligence and the importance of the country. The excerpts are as follows: Chapter 9 Development and growth of strategic emerging industries focuses on seizing opportunities for future industrial development and cultivating pioneers and pillars Industries, promote the integration, clustering, and ecological development of strategic emerging industries, and the added value of strategic emerging industries accounted for more than 17% of GDP. Section 1 Establishing a new pillar of the industrial system focuses on a new generation of information technology, biotechnology, new energy, New materials, high-end equipment, new energy vehicles, color recording, environmental protection, aerospace, marine equipment and other strategic emerging industries will accelerate the innovative application of key core technologies, enhance the ability to maintain the array of factors, and cultivate new momentum for industrial development. Promote the integration and innovation of biotechnology and information technology, accelerate the development of biomedicine, biobreeding, biomaterials, bioenergy and other industries, and expand and strengthen the bioeconomy. Deepen the promotion and application of the Beidou system and promote the high-quality development of the Beidou industry. Deepen the development of national strategic emerging industrial clusters, improve the organizational management and professionalization of industrial clusters, build innovation and public service complexes, and build a number of strategic emerging industrial growth engines with their own characteristics, complementary advantages, and reasonable structure. Encourage technological innovation and enterprise mergers and reorganizations to prevent low-level redundant construction. Give full play to the guiding role of industrial investment funds, and increase financing guarantees and risk compensation. Preliminary planning for the second session of the future industry in the brain-like intelligence, quantum information, genetic technology, future networks, deep-sea aerospace development, hydrogen energy and energy storage and other cutting-edge technology and industrial transformation, organize and implement future industry incubation and acceleration plans to plan Layout a batch of future industries. In areas with outstanding scientific and educational resources and a strong industrial foundation, a number of national future industrial technology research institutes will be deployed to strengthen the multi-path exploration, cross-integration and disruptive technology supply of cutting-edge technologies. Implement demonstration projects for cross-industry integration, create future technology application scenarios, and accelerate the formation of Ruoqian future industries. With regard to the perception of the international situation, world pattern, technological change and industrial revolution, the perception of countries and giant companies must be the most accurate. It is a weather vane and baton, because they have a think tank and strategic vision that ordinary people cannot match. . Therefore, for most working-class people, we cannot change the world through our own efforts, but we can catch the ride of development by sensitively perceiving development trends, and eat the dividends of industry development, which is both for personal development and wealth accumulation. It’s a good choice. Kite was unintentional. The east wind sent to the sky and stood on the vent. The pigs can fly to make money. It’s not all their own ability. To catch up with the country’s development and industry vents can make people do more with less. Therefore, Apple acquired artificial intelligence companies. The strategic level of emphasis has clearly pointed out the direction of industry and industry development in the next few years. What we can do is to follow this trend and trend, and strive to move closer to these industries; strive to make life better

6 months ago

Speaking of AI (artificial intelligence), the first thing that many domestic Internet people think of is the giant Baidu. Recently, a report from GlobalData shows that in the five years from 2016 to 2020, the giant Apple has acquired a total of 25 artificial intelligence companies worldwide (such as Silk Labs, Turi,, and Voysis, etc.) ), the number of 25 companies has surpassed the global IT outsourcing giant Accenture, and even surpassed giant companies such as Google, Microsoft and Facebook. For the Chinese, AI does not give the impression of these giant foreign companies. In the hearts of Chinese netizens, Baidu of ALL IN AI, which was officially listed on the Hong Kong Stock Exchange on March 23 this year, should be a typical representative of Chinese AI companies. As an AI company, Baidu’s listing on the Hong Kong stock market also has a full taste of AI. This time, Baidu’s bell ringers included three developers, namely: data annotator Guo Mei, Apollo5G cloud driver security officer Lei Jianwei, and flying paddle developer Guo Jiahui. What is more surprising and surprising is that Baidu’s “bell ringer” also includes a robot, which is Baidu’s Xiaodu robot. Not only that, Baidu’s gongs sounded by traditional companies are also very different. The “Gongs” that Baidu sounded this time can be called a chip code gong. The gong is composed of Baidu’s Apollo autopilot chips, Kunlun chips, and Xiaodu. The speakers are made of Honghu chips. Adding the two points, AI’s weight in the hearts of Baidu and Robin Li can be seen. On the day of listing, Robin Li also said that Baidu focused on search engine development for the first ten years, and in the last ten years, it focused on cutting-edge technologies such as autonomous driving, AI chips, and artificial intelligence to become an artificial intelligence company. It can be seen that in Li Yanhong’s mind, Baidu is no longer an Internet giant, but an artificial intelligence company. This also means that Robin Li believes that the next generation of the Internet era is the era of artificial intelligence. It is understood that Baidu has invested in artificial intelligence for more than 10 years: in 2010, Baidu began to invest in the field of artificial intelligence, becoming one of the earliest companies in the country to deploy artificial intelligence; in 2013, Baidu established the Deep Learning Institute and established The research and development expenditure invested so far is second to none in China; in 2014, Baidu began to enter the field of autonomous driving. In 2019, Baidu’s autonomous driving taxi team Robotaxi started trial operation in Changsha for ordinary citizens; June 3, 2020, communicated in Apollo media At the meeting, Li Zhenyu, vice president of Baidu Group and general manager of the intelligent driving business group, told the media present: China’s autonomous driving has entered the era of international leaders. In 2016, Baidu Brain was officially released; Baidu Brain 6.0 was released in September 2020, and it currently provides more than 270 AI capabilities, including natural language processing, knowledge graphs, speech recognition and synthesis, and computer vision. In 2017, the self-developed cloud full-function AI chip “Kunlun” was released. In terms of talents, according to the “China Artificial Intelligence ABC Talent Development Report”, Baidu’s AI talent reserve accounts for 2.54%, which is higher than the 2.03% and 1.91% of Tencent and Ali. For AI talents, Baidu prefers to hire and self-train from research institutions, because it is very difficult to rely solely on social recruitment. Perhaps we can also think that Baidu has made outstanding contributions in the field of AI talents. Compared with Baidu, Tencent focuses more on the application level in the AI ​​field. Tencent Internet people of AI IN ALL often say that Baidu is a technology-driven company, Tencent is a product-driven company, and Alibaba is an operation-driven company. This is also reflected in the AI ​​field. Just a few days ago, Tencent and Dunhuang Research Institute jointly signed a new three-year strategic cooperation agreement to use AI to “see a doctor” for murals, opening a new phase of the “Digital Silk Road” plan. Through in-depth learning of Dunhuang mural disease data, Tencent Multimedia Lab has formed a set of algorithms for automatic identification and adding icons, and has created an efficient AI mural disease recognition tool for Dunhuang Research Institute. Although it is only the beginning of the tool, the information released by the Gansu Provincial Cultural Relics Bureau of the show shows that the tool has achieved good results in identifying damaged murals and peeling paint. In the medical field, the Tencent Medical Code AI medical image report automatic generation model was accepted by CVPR, and CVPR (IEEE International Conference on Computer Vision and Pattern Recognition) is one of the top three conferences in computer vision in the world. In addition, Tencent Teana Laboratories and multiple organizations have launched a hearing loss self-test gadget-an online digital audiometry test, which allows people to initially judge their hearing loss without leaving home. Tencent Teana Lab and Tencent Charity Foundation launched the “Teana Action” to open Tencent Teana technology to developers, manufacturers and partners in the field of social responsibility for the hearing impaired for free to help the hearing impaired solve the problem of “inaudibility”. In terms of pharmaceuticals, Tencent has also established Yunshen Zhiyao. In the field of education, Tencent Education and Dark Object Intelligent Technology released the AILA smart work light, becoming the third member of Tencent Education’s smart hardware product matrix after HP smart learning notebooks and Magicpie e-paper. In the field of legal science popularization, Tencent Cloud Xiaowei and Qing Shield Group have jointly launched the “AI Xiaofa” intelligent robot, which provides an intelligent interpretation of the work report of the Supreme People’s Court. The Apple of AI IN APPLE? According to data released by GlobalData, according to the number of acquisitions, the top five AI acquisition madmen are Apple, Accenture, Google, Microsoft, and Facebook. Among them, only Accenture is the only non-US company to enter the top five. According to the combing of “qubits”, it can be seen that Apple’s AI front is very wide. Apple’s acquired AI companies are related to its current business: Siri (Inductiv, Voysis), smart home (Lighthouse AI), and computational photography (Spectral Edge). Some companies’ technologies have been deeply integrated into the iPhone. For example, DeskConnect, a company that once developed Workflow, was acquired by Apple and its App became a first-party application under the name of “Shortcut Instructions.” There are also some companies related to projects that Apple is secretly developing, such as autonomous driving ( and augmented reality (Flyby Media). This type of company gives the outside world a glimpse of Apple’s pre-research projects. For example, in February 2017, Apple acquired the facial recognition technology company RealFace. In October of that year, Apple released the iPhoneX equipped with facial recognition. The specific industry distribution of these 25 companies is as follows: Perhaps, the AI ​​companies acquired by Apple are not the only 25 companies. There may be other companies that have been acquired but have not been disclosed. After all, competition in cutting-edge technology often requires confidentiality and avoidance. Perceived by opponents of their own strategic development trajectory.

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