What Is Cognitive Computing? | Cognitive Computing vs Artificial Intelligence

impactec
3 Oct 202204:55

TLDRThe video discusses the unique collaborative robot Baxter, which utilized cognitive computing and AI to simulate human thought processes, allowing it to learn from human guidance. Despite its promising start, Baxter's creator, Rethink Robotics, faced financial struggles and was eventually acquired by the German Hand Group. The concept of cognitive computing is then explored, highlighting its ability to interpret and act on new information autonomously, simulating human decision-making in complex situations. The video also mentions the application of cognitive computing in customer service and the potential for innovation in AI-driven platforms.

Takeaways

  • 🤖 Baxter is a collaborative robot designed with cognitive computing and AI, simulating human thought processes for efficient task learning.
  • 🚀 Unlike traditional industrial robots, Baxter can be trained by humans through physical guidance, acting as a mentor to improve its performance.
  • 📉 Despite initial success, Rethink Robotics faced challenges, leading to bankruptcy and eventual acquisition by the German automation company, HAHN Group.
  • 🤖📚 Cognitive computing involves computerized models that process information, interpret new data, and act autonomously, emulating human decision-making in complex situations.
  • 🧠 These systems are probabilistic, handling unstructured information by reading text, seeing images, and understanding natural speech.
  • 🔍 Cognitive computing uses AI technologies like neural networks, natural language processing, and machine learning to analyze and learn from vast data sets.
  • 📖 The concept of teaching children through pictures, words, and behavior is analogous to how cognitive systems learn through ontology, taxonomy, and reinforcement learning.
  • 🌟 Isera, a tech company, has developed an AI-driven platform using cognitive computing to automate employee and customer experiences across various departments.
  • 💡 The platform can intuitively resolve tasks and workflows, and is capable of detecting and responding to emotions, particularly useful in HR, customer service, and sales.
  • 🗣️ An example of the platform's empathy is its ability to identify customer confusion through voice and language cues, providing targeted assistance to customer service agents.

Q & A

  • What distinguishes Baxter from other industrial robots?

    -Baxter is distinguished by its collaborative nature, which is made possible through cognitive computing and an AI approach that simulates human thought processes.

  • How was Baxter trained to perform tasks efficiently?

    -Baxter was trained by humans grabbing its arms and showing it how to do tasks efficiently, essentially serving as a mentor to the robot.

  • What happened to Rethink Robotics, the creator of Baxter?

    -Rethink Robotics struggled to scale its operations and find enough buyers for Baxter. By 2018, the company went bankrupt and was bought out by the German automation company, HAHN Group.

  • How does cognitive computing differ from traditional computing?

    -Cognitive computing uses computerized models not only to process information in pre-programmed ways but also to look for new information, interpret it, and take necessary actions without being explicitly programmed to do so.

  • What are some applications of cognitive computing?

    -Cognitive computing is used to provide decision-makers with information they need to make better data-driven decisions and to build deeper relationships with people, whether they are customers, prospective employees, or patients.

  • What are the probabilistic characteristics of cognitive systems?

    -Cognitive systems are designed to adapt and make sense of complexity and unpredictability, handling unstructured information by reading text, seeing images, hearing natural speech, and interpreting the information.

  • What technologies underlie cognitive computing systems?

    -Cognitive computing systems use artificial intelligence and its underlying technologies, including neural networks, natural language processing, image recognition, robotics, machine learning, and deep learning.

  • How is cognitive computing compared to teaching a child?

    -Cognitive computing is likened to teaching a child by using pictures and words (ontology), dictionaries and books (taxonomy), and exhibiting behavior (reinforcement learning) to interact with humans and learn from the environment.

  • What is an example of an innovative solution using cognitive computing?

    -Isera's AI-driven platform is an example of an innovative solution using cognitive computing to automate employee and customer experiences, intuitively resolving tasks and actions across various departments.

  • How does the platform developed by Isera utilize cognitive computing in HR, customer service, and sales?

    -The platform uses cognitive computing to detect emotions and confusion in customers' voices and language, providing customer service agents with specific prompts to help clarify and address the customer's issues.

  • What is the significance of cognitive computing in the context of the script?

    -Cognitive computing is significant as it represents a shift from traditional computing to systems that can interpret, learn, and interact in a manner similar to human thought processes, leading to more adaptive and personalized AI applications.

Outlines

00:00

🤖 Introduction to Baxter the Collaborative Robot

The paragraph introduces Baxter, a collaborative robot designed with cognitive computing and AI to simulate human thought processes. Unlike traditional industrial robots, Baxter was created to learn from human guidance, acting as a mentor to perform tasks efficiently. However, despite initial success, its creator, Rethink Robotics, faced financial difficulties and was eventually acquired by the German automation company, Haas Group. The paragraph then transitions into discussing the concept of cognitive computing and its applications in decision-making and relationship building.

Mindmap

Keywords

💡Baxter

Baxter is a collaborative robot designed with cognitive computing and AI, aiming to simulate human thought processes. It is unique because it can be trained by humans through physical interaction, such as grabbing its arms to show how to perform tasks efficiently. The video script mentions that Baxter served as a mentor to humans, who could then perform those tasks. However, Baxter's creator, Rethink Robotics, faced financial difficulties and was eventually acquired by the German automation company, HAHN Group.

💡Cognitive Computing

Cognitive computing refers to the use of computerized models that not only process information in pre-programmed ways but also seek out new information, interpret it, and take necessary actions autonomously. This technology is designed to simulate human thought processes, especially in complex or uncertain situations. It is used to aid decision-making and build deeper relationships with individuals, whether they are customers, prospective employees, or patients.

💡Artificial Intelligence (AI)

Artificial Intelligence (AI) is a broad field of computer science that involves the creation of machines capable of performing tasks that would normally require human intelligence. In the context of the video, AI is a foundational technology underlying cognitive computing, enabling systems to learn from data, recognize patterns, and make decisions.

💡Neural Networks

Neural networks are a set of algorithms modeled loosely after the human brain, designed to recognize complex patterns. They are a key component of AI and are used in cognitive computing to process and interpret data, enabling the system to learn from and make sense of vast amounts of information.

💡Natural Language Processing (NLP)

Natural Language Processing (NLP) is a subfield of AI that focuses on the interaction between computers and human languages. It involves the development of algorithms and systems that can understand, interpret, and generate human language in a way that is both meaningful and useful. In cognitive computing, NLP is essential for systems to comprehend and respond to natural human speech and text.

💡Robotics

Robotics is the interdisciplinary branch of engineering and science that deals with the design, construction, operation, and use of robots. In the context of the video, robotics is the field from which Baxter, the collaborative robot, originates. It highlights the integration of AI and cognitive computing within the robotics domain to create robots that can work alongside humans safely and efficiently.

💡Machine Learning

Machine learning is a subset of AI that gives computers the ability to learn from data and improve their performance on tasks without being explicitly programmed. It involves the development of algorithms that allow systems to learn from and make predictions or decisions based on data patterns. In cognitive computing, machine learning is a critical process that enables systems to adapt and improve over time.

💡Deep Learning

Deep learning is a specialized subset of machine learning that uses artificial neural networks with multiple layers (hence 'deep') to model and solve complex problems. It is particularly effective at tasks like speech recognition, image classification, and natural language processing. In cognitive computing, deep learning contributes to the system's ability to understand and interpret unstructured data, such as text and speech.

💡Ontology

In the context of cognitive computing, ontology refers to the process of teaching a system the basic knowledge structure or the fundamental concepts and relationships within a domain. It is similar to how children learn the meaning of words and their context. Ontology helps cognitive systems to understand and interpret information in a meaningful way, which is essential for interacting with humans and solving problems.

💡Taxonomy

Taxonomy is the science of naming, describing, and classifying groups of organisms into a hierarchical structure. In the context of cognitive computing, it is used to teach the system the context of words and their relationships within a broader knowledge system. This helps the system to understand the nuances and connections between different pieces of information, enhancing its ability to interact with humans and provide relevant responses.

💡Reinforcement Learning

Reinforcement learning is a type of machine learning where an agent learns to make decisions by taking actions and receiving rewards or penalties. The goal is to maximize the cumulative reward over time. In cognitive computing, reinforcement learning is used to teach systems to improve their performance over time by learning from the consequences of their actions, similar to how children learn from being encouraged to replicate certain behaviors and discouraged from others.

Highlights

Baxter, a collaborative robot, was designed with cognitive computing and AI to simulate human thought processes.

Baxter could be trained by humans grabbing its arms and demonstrating tasks, acting as a mentor.

Despite initial success, Rethink Robotics struggled to scale operations and find buyers for Baxter.

In 2018, Rethink Robotics went bankrupt and was acquired by the German automation company, HAHN Group.

HAHN Group continues to develop Baxter's successor, the S系列 robot.

Cognitive computing uses computerized models to process information and look for new data, interpreting and acting on it.

These systems can formulate responses on their own, simulating human thought in complex situations.

Cognitive systems are probabilistic, designed to handle complexity and unpredictability of unstructured information.

They can read text, see images, and hear natural speech, interpreting and organizing information.

Cognitive computing combines AI technologies like neural networks, natural language processing, and machine learning.

John E Kelly, IBM's senior VP, explained that cognitive systems ingest vast amounts of data to learn and think about problems.

Cognitive computing uses reinforcement learning, similar to how children are taught with pictures, words, and behavior.

Isera, a tech company, has created an AI-driven platform for automating employee and customer experiences using cognitive computing.

The platform can resolve tasks and workflows across various departments, automating routine tasks.

Isera's platform is advancing in empathy and emotion detection, useful for HR, customer service, and sales.

The platform can detect customer confusion through voice and language, assisting customer service agents.

Cognitive computing's ability to interact with humans leads to innovative solutions in multiple industries.

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