Changes in the technology industry will also be inextricably linked to the economy and politics. This article will extract some of the contents of the Global Risk Report from the World Economic Forum (WEF). From the detailed analysis of the report, we can see the rise of the scientific and technological community. The technology and the challenges of artificial intelligence that has received much attention in 2016.
The rise of the scientific and technological community
1, 3D printing
As a cutting-edge manufacturing technology, the use and application of 3D printing materials will expand, and the innovation direction includes bio-mailing organization printing.
2. Frontier materials and nanotechnology
The development of new materials and nanostructures has advantages in thermoelectric efficiency, shape memory, etc., and has many application prospects.
3. Artificial intelligence and robots
The development of artificial intelligence has enabled robots to gradually perform more and more related task thinking, multitasking and fine motor skills.
4. Biotechnology
New biotech technologies that come in the heat include innovative genetic engineering, measurement, therapy, and bio-computing interfaces and synthetic biology.
5. Energy and its storage and transportation
Breakthroughs in battery development, including improved fuel cell efficiency response, advances in renewable energy such as solar, wind, and tidal energy, the rise of smart grid technology, the layout of energy distribution systems, and infinite energy transfer technologies have made the energy industry thriving. .
6, blockchain and distributed ledger
Distributed ledger, including encrypted systems, verification, public transaction data, and more. In addition, digital financial products also include bitcoin.
7. Geological Engineering
This technology area covers climate management such as planetary systems, greenhouse effects and solar radiation.
8, sensing technology (Internet of Everything)
This technology is also known as the Internet of Things (IoT), which uses remote networked sensors to connect devices and network systems.
9, neurotechnology
This technology includes smart drugs, neuroimaging, bio-electronic interfaces, etc., so that human organs and even the brain can be understood and communicated.
10. New Computing Science
New computer technologies include hardware technologies such as biocomputing, quantum computing, and neural network processing (GPU), which are extensions and innovations to advanced computer technologies.
11, space technology
Technological advances have enabled humans to explore the universe in time and space, including microsatellites, super telescopes, recyclable rockets, and integrated rocket aircraft engines.
12. Virtual reality and augmented reality
Virtual Reality and Augmented Reality (VR/AR) is considered to be the next generation computing platform that can create immersive human-computer interaction environments, holographic projection, digital production, and ultra-real game experiences.
The three major problems of artificial intelligence
As a gradual sci-fi theme, AI is accompanied by many doubts and concerns. On the economic front, it will undoubtedly increase social productivity; in terms of labor, the white-collar class will feel a strong crisis; in terms of social stability, the adverse events that may be caused by high-end technology are yet to be regulated.
1. Increasing investment, welfare and potential risks
By providing new information and leveraging data-driven optimization decisions, AI can help solve complex problems ranging from climate change to resource utilization, population growth, and healthcare. In 2015, global AI startups had a total startup capital of more than $2.4 billion, and in the first half of 2016, this number was broken. Major technology companies, including Amazon, Google, and Microsoft, have focused on this area, introducing talents, creating departments, and machine learning/deep learning has become a hot topic, and has been applied to cancer pathology research, stock trading, and limelight. Decision making, autonomous driving and other fields. However, AI will also directly cause social inequality, social security risks, etc., and the monitoring mechanism needs to be established.
2. Market decision risk
The complexity and confusion of the market makes AI's potential vulnerabilities and unpredictability a concern. Operational errors or simple code errors can lead to terrible consequences. This requires machine learning to undergo extensive training and reliability analysis. Fault tolerance, respect for human agreements, and the elimination of unpopular racial rhetorical related indexes. At the same time, AI Cloud also needs certain control, strengthens the security and defensive capabilities of AI programs, respects and protects privacy, and avoids cybercrime.
3. Controllability
As far as the primary artificial intelligence (ASI) has been developed and the general artificial intelligence (AGI) in development, the control mechanism of AI can be said to be the missing link, but it will enter people's daily life, monitor or even control our call. . AI governance requires multiple dimensions, including ethical standards, specification of artificial intelligence application development, (automated driving) scenario assessment, and operational responsibilities. This puts a test on the government, technology, and stakeholders. In addition, how super artificial intelligence/quantum computing fits into the daily and human control can be an important proposition in academia.
*Global AI entrepreneurial trends
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