What Is Artificial Intelligence Technology – Artificial Intelligence (AI) will ‘define the technology of the future’, but what exactly is AI and how does it affect our lives?
Artificial intelligence is the ability of machines to exhibit human-like abilities such as thinking, learning, planning and creativity.
What Is Artificial Intelligence Technology
Artificial Intelligence allows technical systems to see the environment, process what they see, solve problems, and take action to achieve specific goals. A computer receives information that has been processed or collected using its sensors, such as a camera, and processes and responds to it.
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AI systems are able to adjust their behavior to a certain extent by analyzing the effects of previous actions and acting autonomously.
Some artificial intelligence technologies have been around for over 50 years, but computer power, large amounts of data, and the availability of new algorithms have led to major AI breakthroughs in recent years.
Artificial intelligence is seen as a key part of society’s digital transformation and has become a priority for the EU.
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While future applications are expected to make a big difference, AI is already making its way into our daily lives.
Read more about the opportunities offered by AI and how the European Parliament wants to shape AI legislation
Artificial intelligence is widely used to make personalized recommendations based on people’s previous searches, purchases or other online behavior. AI is very important in commerce: product optimization, inventory planning, logistics, etc.
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Search engines learn from the vast amount of information provided by their users to produce relevant search results.
Smartphones use artificial intelligence to provide the most useful and personalized services. Trusted assistants who answer questions, give advice, and help coordinate daily activities have become ubiquitous.
Language translation software is based on written and spoken text and relies on artificial intelligence to provide and improve translation. This also applies to features like automatic subtitles.
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Smart thermostats learn from our behavior to save energy, while developers of smart cities hope to manage traffic to improve connectivity and reduce congestion.
Self-driving vehicles are not yet standard, but cars already use artificial intelligence-powered safety features. For example, the EU has helped fund VI-DAS, an automatic sensor that detects potentially dangerous situations and accidents.
AI systems can help identify and combat cyber attacks and other cyber threats based on continuous data input, pattern recognition, and rollback attacks.
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In Covid-19, artificial intelligence has been used for thermal imaging in airports and other places. In medicine, it helps to detect infections with computed tomography of the lungs. It is also used to provide information to monitor the spread of disease.
Some AI programs can detect fake news and disinformation by mining social media data, searching for buzzwords and alarmist words, and determining which internet sources are considered authoritative.
AI is poised to change almost every aspect of life and the economy. Here are a few examples:
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Researchers use artificial intelligence to analyze large amounts of health data to discover new breakthroughs in treatment and ways to improve human diagnosis.
For example, researchers have developed a cognitive system to answer emergency calls that can detect heart attacks during calls faster and more often than hospital dispatchers. In another example, the EU-funded KConnect is developing a multilingual text and search service that helps people find the most useful medical information.
AI can improve the safety, speed and efficiency of rail traffic by reducing wheel friction, increasing speed and enabling autonomous driving.
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88% Although 61% of Europeans view artificial intelligence and robots with certainty, 88% say these technologies require careful management. (Eurobarometer 2017, EU-28)
Artificial intelligence can help restore factories in Europe, making European manufacturers more efficient by using robots in production, streamlining sales channels, or predicting maintenance and disruptions in smart factories in time.
SatisFactory, an EU-funded research project, uses real-time collaborative and augmented reality processes to increase job satisfaction in smart factories.
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AI can be used to create a sustainable EU food system: it can ensure healthy food by reducing the use of fertilizers, pesticides and irrigation; increasing productivity and reducing environmental impact. For example, robots can kill weeds and reduce the use of herbicides.
Many farms in the EU are already using artificial intelligence to monitor their animals’ movement, temperature and feed intake.
Using large amounts of data and pattern recognition, artificial intelligence can provide early warning, effective remediation and mitigation of natural disasters.
The Path To Real World Artificial Intelligence
Find out more about the threats and opportunities of AI and how the European Parliament wants to regulate it.
How is Europe building a Digital Single Market? Find out about roaming, net neutrality, innovation, e-commerce and geo-blocking in the European Parliament.
AI and big data are crucial to the EU’s digital future. Find out how MEPs want to support growth while respecting security and human rights.
What Is Artificial Intelligence? (ai)
Artificial intelligence (AI) will affect our lives. Learn about security, democracy, business and job opportunities and threats.
Find out how MEPs are shaping EU AI legislation to boost innovation while ensuring safety and protecting civil liberties. As Artificial Intelligence (AI) becomes more common and incorporated into life-changing decisions, the need for transparency grows. In recent years, there have been many high-profile cases where AI has contributed to bias and discrimination, and one example is the use of facial recognition in the police. In the next two years, AI is likely to shift from self-regulation to government intervention. In fact, Big Tech is increasingly using artificial intelligence to address the privacy and distortions created by technology itself.
Artificial intelligence is increasingly involved in life-changing decisions such as welfare payments, housing approvals and medical diagnoses. Therefore, it is important to be clear and specific. The controversy surrounding the misunderstanding of AI models is gaining so much attention that it is forcing companies to update their internal AI development guidelines to build trust. XAI alone is not enough to reduce bias in data, as it allows companies to identify potential biases. It is up to the business owner to adjust the model if necessary.
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For many AI-related companies, including Google and defense giant Lockheed Martin, XAI and responsible AI have been at the forefront.
Artificial intelligence as a solution to privacy problems created by technology itself may sound contradictory. The method, introduced by Google in 2017, aims to protect sensitive data while using the rich data available on internal devices such as smartphones. Simply put, the tool downloads the current model from the cloud, improves it by learning from data stored in memory, and then updates the model based on local data.
Gboard is the most popular application that uses blended learning. The Google Keyboard app suggests words and phrases based on data from previous actions. Collaborative learning in healthcare allows different organizations to collaborate on designs to improve patient care without sharing sensitive information.
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In June 2020, Amazon, IBM, and Microsoft announced that they will no longer sell facial recognition (FR) devices to law enforcement or the general public. Amazon has suspended the use of FR by law enforcement agencies for a year, while Microsoft has said it will not sell FR to police departments until there is a national law governing the technology. In response, IBM announced that it would no longer offer general-purpose FR or analytics software.
Increased scrutiny after the death of George Floyd and anti-racism protests have caused Big Tech companies to distance themselves from FR, but ethical concerns and examples of bias have persisted for years.
AutoML aims to reduce the amount of human input and effort required to apply ML to real-world problems. It automates the time-consuming and repetitive aspects of ML model development, allowing developers and data scientists with limited ML knowledge to use ML models and techniques. It also reduces human error and bias in ML models.
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Fraud detection, pricing, and marketing management are common areas of application for AutoML. Google Cloud AutoML, DataRobot and H20.ai are leading examples of AutoML software solutions.
Google AI head Jeff Dean said in a 2019 interview: “We want to build systems that can be integrated into new tasks. Doing things with less data and less computation will be fun and important.” Most agree that learning from a few data points has significant management and business benefits.
Rana el Kalioby, founder and CEO of affecta, a company that recognizes emotions, says that data fusion will allow companies to take collected data and combine it to create new data. For example, an image of a person driving a car can be used to create new situations, such as the driver turning his head, texting, etc.
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One of the main areas of convergence of disruptive topics is AI and IoT. This combination gave birth to AIoT – Artificial Intelligence of Things. Combining data collected by integrated sensors and actuators with artificial intelligence can reduce latency, increase privacy, and bring real-time intelligence to the fore.
Apple has acquired Xnor.ai, which makes image recognition tools for low-power artificial intelligence.
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