1. Technology giants grab the beach AI
From individuals to companies, artificial intelligence is increasingly embedded in technology applications, and even powerful data analysis platforms like PalanTIr are using AI (artificial intelligence). Microsoft CEO Nadella declared that the future AI will be able to do anything for humans.
Nowadays, Silicon Valley giants are expanding their territory in the field of artificial intelligence. Amazon, Google, and Facebook are not only competing to set up laboratories, but also buying various startups. Google has a tendency to come up later, and maybe soon, it will fight against Amazon Echo and Apple Siri.
In 2015, Tesla CEO Elon Musk and the new incubator Y combinatory's newcomer, Sam Waterman, formed OpenAI (a non-profit organization with more than $1 billion in capital, behind the forces including Red Hoffman, Peter Hill and Amazon AWS).
Because the robot will one day replace humans, the public has fear of developing robots, which makes AI research and development difficult. In order to accelerate the development of science and technology, OpenAI is committed to promoting open source AI technology. It cooperates with many organizations and researchers to voluntarily waive patents and make research results public.
Industry layout of major technology giants
In 2011, investment manager Mark Anderson was known for his article "Software is eating into the world." His argument is that all companies have a common enemy - the software company.
Indeed, AI is eroding all walks of life, from health care, education, manufacturing to defense. Large industries are not only eager to use the combination of AI to improve efficiency and precision, but more importantly, to explore customization.
2. Health care
Since 2011, AI entrepreneurship in the healthcare industry has expanded to a value of $900 million, making it the hottest startup in the AI ​​space.
Valuation ranking of medical artificial intelligence startups
Because the future looks bright:
In 2021, more than $6 billion will be spent on AI, which comes from health care practitioners and consumers.
In 2015, AI has the potential to become a leader in the healthcare industry. At that time, the AI ​​system was able to: diagnose the disease, prescribe for the individual, and predict minor illnesses based on globally collected health data. (fast company data)
Today, IBM is leading AI to the medical arena, which invested $1 billion in IBM Watson. The company was founded in 2014 and its partners are not giants, but giants, including Apple, Medtronic, Johnson & Johnson, Under Armor Mayo Clinic, CVs Healthcare, and Sloan Kettering Cancer Treatment Center. Technology is used in medical work.
Padding doctor Watson
The cornerstone of IBM Watson is Watson's use in cancer therapy, which was developed in collaboration with the Sloan Kettering Cancer Treatment Center in New York.
When the clinician trains Watson, in addition to entering the clinical data of the Internet, he will also guide it to customize treatment for each patient. The biggest advantage of Watson's application is that all medical decisions can be made on an iPad or other tablet. This means that every doctor who uses Watson for cancer treatment needs only a mobile phone.
3. Education
Innovative companies are investing large amounts of resources in big data from students' every click, learning behavior, and media preferences. The complex data can be transformed into intelligent data on the basis of application, and the diagnostic technology combined with adaptive software can maximize the customization of learning.
Big data becomes smart data
For example, a company called DreamBox Learning created millions of math learning paths after analyzing each click on a student.
Declara is more like the ultimate form of educational development. It recommends personalized digital content to users – from academic journals, conference content to microblogging – anyway, based on personal interests and professional needs.
Backed by Kleiner perkings and Xiaoza's Newsela, you can automate the editing of new articles published on the platform, not only to adapt to the reader's reading level, but also to enhance user literature skills.
AcrobaTIq is a recent rise of Carnegie Mellon University, and its adaptive courseware is based on pioneering research in the field of open learning for more than 10 years.
In addition, McGraw-Hill's ALEKS and Pearson's MyLab are also influential and customized learning platforms, and it is foreseeable that they will gradually become widely used.
As for the supercomputer that IBM bets on, perhaps it will incite the education community like Watson shocked the medical community. After all, this is a data-driven solution.
Although many companies have been enumerated and praised, we always believe that the most ambitious and ideal is Knewton, a big data company that can clearly understand what you know and how to know, so as to complete the accuracy of educational content. Push. Today, Knewton has learned all the online courses (whether from traditional publishers or YouTube's online courses), and it is learning from it anyway, ensuring that the algorithm system can adjust the learning difficulty at any time to suit each user's individual needs.
Yes, our robotic teacher has arrived, and the future education is close at hand. Now we just need to press the start button.
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