If by 2030, what kind of average standard change will artificial intelligence bring to the face of North American cities? Experts have been studying artificial intelligence for a century, and they think its impact will be far more profound than we think.
The "One Hundred Years of Artificial Intelligence Research" project is the work of Eric Horvitz, a technical researcher and managing director at Microsoft Research.
Every five years, a team of experts will assess the current state of artificial intelligence and its future direction. The first panel of experts from the fields of artificial intelligence, law, political science, policy and economics was established last fall and they decided to explore the impact of artificial intelligence on ordinary American cities. Here are eight key changes that they believe will be affecting urban life in the next fifteen years.
Transportation
The speed at which traditional transportation systems transition to intelligent transportation systems may surprise the public. For example, driverless cars will be widely used in 2020, and it will not only be a family car, but also unmanned delivery trucks, drones and personal robots will become a common demand in society.
The uber-style "car as a service" concept will gradually replace the way people choose to use private cars on the road, and may replace public transportation or turn it into a similar on-demand service. Going to work will allow people to enjoy a period of relaxation, which encourages people who live farther away from home to work more efficiently, and can reduce the need for parking lots, thus completely changing the face of modern cities.
More and more sensors bring more data to enable administrators to model their individual movements, preferences, and goals, which can have a major impact on designing urban infrastructure.
Despite this, the fact that people's lives are not as dull as a cycle, the algorithm that allows machines to learn from and coordinate with human life will be the key to ensuring smooth running of unmanned traffic. Acquiring this right will be key, because it will be the first time for the public to experience the artificial intelligence system, and the results will greatly affect the public's perception of artificial intelligence.
2. Home and service robots
In the next 15 years, robots will become more popular, they can do things like shipping parcels and office cleaning. Mobile chip makers are already trying to compress the power of a large supercomputer of the last century onto a single chip, which will greatly increase the computing power of the robot.
Robots connected via cloud data will be able to share data to accelerate learning. Such as Microsoft's Kinectwill, such low-cost 3D sensors will accelerate the development of artificial intelligence-aware technology, and advances in speech understanding will enhance the interaction between robots and humans. Today, robotic arms in the lab may evolve into consumer electronics for electronic devices around 2025.
However, the cost and complexity of reliability hardware, as well as the difficulty of implementing perceptual algorithms in the real world, means that such versatile intelligent robots are still a long way from entering our lives. It is very likely that robots will now only have the opportunity to play in limited commercial applications in order to develop more uses in the future.
3. Health care
In the next 15 years, the impact of artificial intelligence on health care will be more on regulation than technology. In the health care arena, the most likely conversion of artificial intelligence is the acquisition of data, but the US Food and Drug Administration has failed to find a solution to the compromise between privacy and data acquisition. The data import effect of electronic medical records is also very bad.
Without these barriers, artificial intelligence can enable automated diagnostics of information by browsing patient records and scientific literature. This digital assistant allows doctors to focus on the accuracy of personal medical care while using their intuition and experience to guide the entire process.
By applying and applying statistical demographics, patient records, wearables, mobile applications, and personal genome sequencing data will make personalized medicine a reality. Although a fully automated radiology department is unlikely to be realized, the acquisition of a large medical imaging data set will enable artificial intelligence trained by machine learning algorithms to help doctors perform "split" or human scans, thereby reducing the workload of doctors.
Smart walking assistants, wheelchairs, and even smart bones will help keep the elderly alive, and smart home technology will be able to monitor their health and give them the ability to stay independent. The robot may enter the hospital to perform some simple tasks, such as delivering supplies to the appropriate department, or stitching the needles when they are placed correctly, but these tasks are only semi-automatic and require a collaborative process between humans and robots.
4. Education
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