Artificial intelligence has ceased to be science fiction and is now thoroughly entering our lives. Scientists, working on the technology, make it act more and more like a real brain. Computers recognize faces, predict traffic conditions, warn about health problems.
But despite the fact that we see impressive projects proving that AI integration makes life more convenient and safer, the future of artificial intelligence is ahead. Engineers believe that the current level of AI use does not even closely reflect its full potential, and the industry is in its infancy.
1. Automated transport
We are witnesses to the emergence of automatic driving. Yes, security still requires the presence of a person in the cabin, but the industry is growing and developing further. But theory and practice show that unmanned vehicles have many prospects – the robot makes mistakes less often than humans, which means that its driving is more practical. The future of artificial intelligence is primarily associated with vehicles that operate on autopilot.
Google pioneered the industry, whose dedicated division failed the task of robotic machines in 2005. Five years later, the same developers created Waymo and tried again – things went well, and interest in these technologies swept the whole world.
Over the past 10 years, all major automotive and technology players have been active in the unmanned car industry:
• BMW managed to make a big breakthrough thanks to the launch of the i3 and i8 hybrid models in 2013-2014.
• Tesla promotes two technological products at once in one: In addition to the usual Tesla electric cars, in early 2018, Musk presented a self-driving truck Tesla Semi.
• Nissan is developing unmanned vehicles in conjunction with Renault, with high expectations for Leaf electric vehicles.
• Yandex.Taxi uses drones in Skolkovo, and recently announced the launch of the first such taxi in Europe.
• Kamaz does not lag behind the trend and, together with Cognitive Technologies, designs its smart truck based on Kamaz 5350.
Cars are not the only mode of transport that robotization is changing, but one of the most difficult. There are unmanned trains that operate on and under the ground. In the coming years, they plan to launch them in the Moscow metro. Trains are even easier to “make friends” with each other. Their transport network works on schedule and has few traffic participants.
2. Cyborgs
Researchers believe that in the future, people will use computers and robotic devices to maintain and improve the abilities of the body and brain. Some designs will be released for comfort, while others will return important features. For example, bionic prostheses for people with amputated limbs.
In this area, artificial intelligence is responsible for helping the brain and devices understand each other. It converts incoming signals, transmits information about the position of the limbs in space and the state of the environment.
• The University of Newcastle has made an additional module for manual prostheses, equipped with a camera. He “examines” the object in front of him and helps to grab it harder and more convenient.
• Bioprosthetics leaders – Ossur from Iceland created independent robotic prostheses that examine the environment, guess human actions and adapt to their behavior.
• The Dustin Tyler group from Cleveland is developing palm prostheses to make the user experience objects and surfaces for real.
3. Dangerous and not only work
Robots are already working in places of increased danger, for example, defuse bombs. True, these are not real robots, but unmanned vehicles that must be remotely controlled. The future of artificial intelligence implies that they will make decisions on their own and act independently.
But it is worthwhile to understand that partial autonomy is not critical for plants now, if robots work in normal conditions and know how to behave when they are violated. For engineers creating such innovations, this is a technical challenge, not a futuristic challenge..
Industrial robots with varying degrees of independence work in the food industry, automotive and machine building, the service sector, and logistics. For example, Amazon introduced a new way to deliver goods to customers within 30 minutes of Amazon Prime Air using automated quadcopters..
A separate area is developing extreme robotics. These are devices or complexes operating where work for a person is dangerous or impossible: in mine clearance, military reconnaissance, underwater research, space operations, mining and reconnaissance operations, rescue operations during natural disasters.
4. Climate and environment
One of the technologies of the future that uses AI is climate modeling. Mankind has been engaged in weather forecasting for more than a decade, but supercomputers, big data and neural networks have just reached the level of deep work with this material.
Scientists plan to combine different mathematical models with the help of AI, “feeding” real data to the system. This will increase the accuracy of forecasting, and expand opportunities. For example, you can see a picture of climate change on the European coast of the Atlantic Ocean for several years to come..
A deep understanding of climate also raises security concerns. Artificial intelligence will help prepare for the onset of an extreme storm, multi-day rains or tsunamis.
To protect the environment with artificial intelligence, technologies also exist. Site Global fishing watch shows fishing activity on the planet online, thereby helping to catch poachers. Similar project Global forest watch demonstrates deforestation activity.
5. Communication and friendship
Modern robots are not able to experience feelings. Engineers say that we will not soon be able to achieve real understanding between man and machine. But already now, some people are pretty good at decoding emotions, and the future of artificial intelligence will definitely strengthen the trend..
So, in 2015, a circulation of 1,000 Pepper social robots was sold in Japan in a minute. Pepper is capable of supporting a simple conversation. If a person smiled, he will understand that he is having fun. If he frowned, Pepper would realize that something was bothering him. This robot knows emotions like joy, surprise, anger, doubt and sadness. It analyzes the facial expression, body language and words of a person.
At Nanyang (Singapore) University of Technology, you can meet Nadine, whose appearance only allows you to understand close up that it is a robot. Nadine recognizes faces and emotions, maintains a conversation, independently creates associations for communication, but finds it difficult to understand accents and does not control her hands well.
Artificial intelligence is necessary for social robots to adapt to the user and make decisions in unusual or emergency situations. So, the miniature Kirobo Mini from Toyota monitors the emotions of the driver and does not let you get bored or fall asleep while driving, offering music that suits your mood.
6. Help in old age
For many older people, everyday life – requires help from loved ones. Assistant robots in this case are necessary and can replace carers.
A famous example of a robot for caring for the sick and the elderly is the Japanese Robear. His main task is to help move. He is able to lift and gently carry people. For the “tenderness” of touch is the highly sensitive Smart Rubber sensor.
So far, the assistant robots are far from perfect. But the functions that are assigned to them, they are ready to perform impeccably. They do not get tired, are not distracted and do not deviate from the rules. Perhaps the lack of emotion in this sense is even an advantage.
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What advancements and challenges do you envisage for the future of artificial intelligence?
Advancements in artificial intelligence (AI) hold great potential for our future. Notably, we can expect advancements in machine learning algorithms, deep neural networks, and data processing capabilities, leading to improved AI performance across various domains. AI may revolutionize healthcare, transportation, and communication, enhancing efficiency and accuracy.
However, with these advancements come challenges. Ethical concerns regarding AI decision-making, privacy, and the impact of automation on jobs need to be addressed. It is crucial to ensure that AI systems are fair, transparent, and unbiased. Additionally, cybersecurity risks must be carefully managed as AI systems become more integrated in critical infrastructure.
Moreover, the need for data to train AI models poses a challenge. Achieving sufficient data diversity and quality while respecting privacy will be vital. Additionally, as AI systems become more complex, ensuring their robustness and reliability becomes imperative. Collaborative efforts among researchers, policymakers, and industry leaders will play a key role in addressing these challenges and capitalizing on the potential of AI responsibly and ethically.
As artificial intelligence (AI) continues to advance, we can anticipate several significant advancements and challenges in the future. On the advancement front, we may witness breakthroughs in areas such as natural language processing, machine learning, and computer vision. This could lead to AI systems that possess a deeper understanding of human language, enhanced learning capabilities, and the ability to perceive and analyze visual information more effectively.
However, with these advancements come challenges. One major concern is the ethical implications of AI. As AI becomes more integrated into society, questions arise regarding data privacy, algorithmic biases, and the potential for job displacement. Striking a balance between technological progress and maintaining human values will be crucial.
Additionally, there is a need for enhanced transparency and interpretability in AI systems. Gaining a better understanding of how AI arrives at its decisions is essential for trust and accountability. Efforts must be made to ensure that AI algorithms are fair, unbiased, and can be audited.
Another challenge is the potential for AI to fall into the wrong hands. As AI becomes more sophisticated, there is a risk of it being misused for malicious purposes, including cyberattacks or mass surveillance. Safeguards and regulations must be put in place to prevent such misuse and protect against unintended consequences.
Lastly, the integration of AI into various industries and sectors requires upskilling and reskilling of the workforce. Preparing individuals for an AI-driven future will be essential to mitigate the impact of job displacement and ensure economic stability.
Overall, while advancements in AI hold great potential, addressing the challenges associated with AI’s ethical implications, transparency, misuse, and workforce readiness will be critical for a successful future.
looks promising, with advancements in machine learning and deep learning. However, there are concerns about the ethical implications and potential job displacements. How do you think AI will impact various industries? Will it ultimately benefit or harm society as a whole?
AI has the potential to revolutionize various industries by increasing efficiency, productivity, and innovation. Industries such as healthcare, finance, and transportation can benefit from AI technologies to enhance decision-making processes, improve customer experiences, and reduce costs. However, there are concerns about job displacements as AI becomes more advanced and automates repetitive tasks.
Moreover, there are ethical implications that need to be addressed, such as bias in algorithms, data privacy, and the potential for misuse of AI technologies. It is essential for policymakers, businesses, and researchers to collaborate to ensure that AI is developed and deployed responsibly.
Ultimately, whether AI will benefit or harm society as a whole will depend on how it is implemented and regulated. If used ethically and responsibly, AI has the potential to improve our lives in various ways. However, there is a need for transparency, accountability, and oversight to ensure that AI serves the greater good while minimizing risks.
What advancements and challenges can we expect to see in the future of artificial intelligence?