Intelligent Systems Research

Summary

Intelligent systems sense their environment and react using AI and machine learning. They include components like hardware and computational elements to improve performance. Examples range from smartwatches to self-driving cars. These systems are crucial for future computing, supporting applications from biological sensors to robotics. The I.S.E. program at Luddy School leads in this field, offering multidisciplinary research opportunities in areas like computer engineering and bioengineering. Current research focuses on secure, efficient, and scalable computing systems for big data and edge devices, aiming for high performance and environmental sustainability.

Takeaways

• 🤖 Intelligent systems use AI and machine learning to sense their environment and react accordingly, incorporating computational elements to enhance their functionality.
• 🧠 The concept of intelligent systems extends beyond AI, focusing on the integration of hardware and software to create adaptable systems based on data and experience.
• 🚗 Examples of intelligent systems range from smartwatches to self-driving cars and robots used in manufacturing.
• 🏛️ The I.S.E. program at Luddy School is a pioneering initiative in the field of intelligent systems, highlighting its importance in modern education.
• 🔍 The program involves faculty from diverse disciplines, encouraging multi-disciplinary research and collaboration.
• 🌐 Research areas in intelligent systems include computer engineering, cyber-physical systems, bioengineering, and molecular and nanoscale engineering.
• 🌐 The program covers a broad spectrum of intelligent systems, from biological sensors to robotics, environmental sensors, data processing, and deep learning systems.
• 🌐 Encourages students from all disciplines and backgrounds to engage in cutting-edge research in intelligent systems.
• 🌐 One faculty member's work focuses on intelligent networks that connect cloud computing resources with user devices, aiming for seamless and efficient system operation.
• 🌐 Another faculty member's research involves machine listening, developing AI algorithms to better understand and process sound.
• 🌐 The goal is to push AI capabilities to the edge of computer networks, enabling everyday use on small devices without compromising performance.
• 🌐 Research is also directed towards designing computing systems for big data applications, including machine learning and genomics, aiming to make these technologies accessible and user-friendly.
• 🌐 As networks grow and data collection capabilities improve, both data collection and processing must evolve to handle the increasing demands and complexities.
• 🌐 The future of computing systems is envisioned as highly performant, energy-efficient, heterogeneous, and environmentally sustainable, with a focus on the computing continuum from cloud to edge devices.

Q & A

What is the core principle behind intelligent systems?

Intelligent systems are designed to sense their environment or inputs and react accordingly, utilizing artificial intelligence and machine learning to adapt based on data and prior experiences.

How do intelligent systems differ from traditional artificial intelligence?

While AI focuses on data analysis and decision-making, intelligent systems encompass a broader scope, including computational elements and the ability to adapt to various applications, from smartwatches to self-driving cars.

What are some of the components necessary for developing an intelligent system?

Developing an intelligent system requires not only AI but also hardware development, computational elements, and a strong foundation to support the computations for emerging applications.

Why is the Intelligent System Engineering (ISE) program significant?

The ISE program is the first of its kind globally, offering a multi-disciplinary approach to research and education, which is crucial for the advancement of intelligent systems.

What kind of research areas are faculty at Luddy School working on related to intelligent systems?

Faculty at Luddy School are involved in diverse research areas such as computer engineering, cyber-physical systems engineering, bioengineering, and molecular and nanoscale engineering.

What are some of the specific areas of research in intelligent systems mentioned in the script?

The script mentions research areas including biological sensors, robotics, environmental sensors, data processing, deep learning systems, and intelligent networks.

What is the role of intelligent networks in the context of cloud computing and user devices?

Intelligent networks bridge the gap between cloud computing resources and user devices, enabling seamless and efficient collaboration between the two for large-scale graph and network computations.

What is the concept of 'machine listening' as mentioned in the script?

Machine listening refers to the development of machine learning and AI algorithms designed to understand and process sound more effectively.

What is the goal of pushing AI towards the edge of the network?

The goal is to make AI accessible on small devices used daily by people, allowing them to utilize AI without needing to send sensitive data to data centers.

How does the speaker's research focus on computing systems for big data applications?

The speaker's research aims to design computing systems that can handle big data applications, including machine learning and genomic applications, with an emphasis on making such technology accessible and user-friendly.

What are the characteristics of the next generation of computing systems as described in the script?

The next generation of computing systems should be highly performant, energy efficient, heterogeneous, and environmentally sustainable, with a continuum from high-performance cloud computing to edge devices and intelligent networks.

What advice does the speaker give for students interested in research on intelligent systems?

The speaker encourages students to find problems that excite them and resonate with their passions, as this is the key to devoting oneself to research in the field of intelligent systems.