Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions), self-correction and speech recognition.
According to Arend Hintze, there are 4 types of AI:
•Type 1: Reactive machines: It can identify and make predictions, but it has no memory and cannot use past experiences to inform future ones. It analyzes possible moves -- its own and its opponent -- and chooses the most strategic move.
•Type 2: Limited memory: These AI systems can use past experiences to inform future decisions. Some of the decision-making functions in self-driving cars are designed this way.
•Type 3: Theory of mind: This psychology term refers to the understanding that others have their own beliefs, desires and intentions that impact the decisions they make. This kind of AI does not yet exist.
•Type 4: Self-awareness: In this category, AI systems have a sense of self, have consciousness. Machines with self-awareness understand their current state and can use the information to infer what others are feeling. This type of AI does not yet exist .
How can TACTO assist?
•Automation: What makes a system or process function automatically.
•Machine learning: The science of getting a computer to act without programming
•Machine vision: The science of allowing computers to see. This technology captures and analyzes visual information using a camera, analog-to-digital conversion and digital signal processing.
•Natural language processing (NLP): The processing of human -- and not computer -- language by a computer program. One of the older and best known examples of NLP is spam detection, which looks at the subject line and the text of an email and decides if it's junk.
•Robotics: A field of engineering focused on the design and manufacturing of robots.
•Self-driving cars: These use a combination of computer vision, image recognition and deep learning to build automated skill at piloting a vehicle while staying in a given lane and avoiding unexpected obstructions, such as pedestrians.
Varied applications of AI:
•AI in healthcare. The biggest bets are on improving patient outcomes and reducing costs. Companies are applying machine learning to make better and faster diagnoses than humans.
•AI in business. Robotic process automation is being applied to highly repetitive tasks normally performed by humans. Machine learning algorithms are being integrated into analytics and CRM platforms to uncover information on how to better serve customers.
•AI in education. AI can automate grading, giving educators more time. AI can assess students and adapt to their needs, helping them work at their own pace.
•AI in finance. AI in personal finance applications, such as Mint or Turbo Tax, is disrupting financial institutions. Applications such as these collect personal data and provide financial advice.
•AI in law. The discovery process, sifting through documents, in law is often overwhelming for humans. Automating this process is a more efficient use of time.
•AI in manufacturing. This is an area that has been at the forefront of incorporating robots into the workflow.
•Type 1: Reactive machines: It can identify and make predictions, but it has no memory and cannot use past experiences to inform future ones. It analyzes possible moves -- its own and its opponent -- and chooses the most strategic move.
•Type 2: Limited memory: These AI systems can use past experiences to inform future decisions. Some of the decision-making functions in self-driving cars are designed this way.
•Type 3: Theory of mind: This psychology term refers to the understanding that others have their own beliefs, desires and intentions that impact the decisions they make. This kind of AI does not yet exist.
•Type 4: Self-awareness: In this category, AI systems have a sense of self, have consciousness. Machines with self-awareness understand their current state and can use the information to infer what others are feeling. This type of AI does not yet exist .
How can TACTO assist?
•Automation: What makes a system or process function automatically.
•Machine learning: The science of getting a computer to act without programming
•Machine vision: The science of allowing computers to see. This technology captures and analyzes visual information using a camera, analog-to-digital conversion and digital signal processing.
•Natural language processing (NLP): The processing of human -- and not computer -- language by a computer program. One of the older and best known examples of NLP is spam detection, which looks at the subject line and the text of an email and decides if it's junk.
•Robotics: A field of engineering focused on the design and manufacturing of robots.
•Self-driving cars: These use a combination of computer vision, image recognition and deep learning to build automated skill at piloting a vehicle while staying in a given lane and avoiding unexpected obstructions, such as pedestrians.
Varied applications of AI:
•AI in healthcare. The biggest bets are on improving patient outcomes and reducing costs. Companies are applying machine learning to make better and faster diagnoses than humans.
•AI in business. Robotic process automation is being applied to highly repetitive tasks normally performed by humans. Machine learning algorithms are being integrated into analytics and CRM platforms to uncover information on how to better serve customers.
•AI in education. AI can automate grading, giving educators more time. AI can assess students and adapt to their needs, helping them work at their own pace.
•AI in finance. AI in personal finance applications, such as Mint or Turbo Tax, is disrupting financial institutions. Applications such as these collect personal data and provide financial advice.
•AI in law. The discovery process, sifting through documents, in law is often overwhelming for humans. Automating this process is a more efficient use of time.
•AI in manufacturing. This is an area that has been at the forefront of incorporating robots into the workflow.
