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School of Electrical Engineering We thrive
to be the world’s
top IT powerhouse.
We thrive to be the world’s top IT powerhouse.

Our mission is to lead innovations
in information technology, create lasting impact,
and educate next-generation leaders of the world.

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School of Electrical Engineering We thrive
to be the world’s
top IT powerhouse.
We thrive to be the world’s top IT powerhouse.

Our mission is to lead innovations
in information technology, create lasting impact,
and educate next-generation leaders of the world.

  • 2
  • 6
Learn More
School of Electrical Engineering We thrive
to be the world’s
top IT powerhouse.
We thrive to be the world’s top IT powerhouse.

Our mission is to lead innovations
in information technology, create lasting impact,
and educate next-generation leaders of the world.

  • 3
  • 6
Learn More
School of Electrical Engineering We thrive
to be the world’s
top IT powerhouse.
We thrive to be the world’s top IT powerhouse.

Our mission is to lead innovations
in information technology, create lasting impact,
and educate next-generation leaders of the world.

  • 4
  • 6
Learn More
School of Electrical Engineering We thrive
to be the world’s
top IT powerhouse.
We thrive to be the world’s top IT powerhouse.

Our mission is to lead innovations
in information technology, create lasting impact,
and educate next-generation leaders of the world.

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AI in EE AI and machine learning
are a key thrust
in EE research
AI and machine learning are a key thrust in EE research

AI/machine learning  efforts are already   a big part of   ongoing
research in all 6 divisions - Computer, Communication, Signal,
Wave, Circuit and Device - of KAIST EE 

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Prof.
Jae-Woong Jeong’s
Team Develops
Phase-Change Metal Ink
Read more...
Prof.
Kyeongha Kwon’s Team
Enables Battery-Free
CO₂ Monitoring
Read more...
Prof.
Yongdae Kim · Insu Yun’s
Team Uncovers
Risks in Mandatory
KSA Tools
Read more...
Prof. Hyun Myung’s Team
Wins Global Robotics Challenge
Read more...
Prof.
Sung-Ju Lee's Team
Develops ‘Amuse’
an AI Songwriting Companion
Read more...
Prof.
Hyunchul Shim’s Team
Wins 3rd Place
at A2RL Autonomous
Drone Racing Competition
Read more...
Prof. Minsoo Rhu’s team
develops a simulation
framework called vTrain
Read more...
Prof. Jun-Bo Yoon’s Team
Achieves Human-Level Tactile Sensing with
Breakthrough Pressure Sensor
Read more...
Prof.
Seungwon Shin’s Team
Validates Cyber Risks
of LLMs
Read more...
Prof. Seunghyup Yoo’s team Develops
Wearable Carbon Dioxide Sensor
to Enable Real-time Apnea Diagnosis​
Read more...
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Highlights

윤인수 교수님 360
〈 Research Team Photo (Top row, from left) Professor Yongdae Kim, Professor Insu Yun, Professor Hyoungshick Kim, Professor Seungjoo Kim (Bottom row, from left) Researcher Taisic Yun, Researcher Yonghwa Lee, Researcher Suhwan Jeong〉

 

South Korea is the only country in the world that mandates the installation of government-approved security software—known as Korea Security Applications (KSAs)—for access to online financial and public services. But according to new research to be presented at USENIX Security 2025, this well-intentioned policy may be turning into a national cybersecurity liability.

 

A team of researchers from KAIST, Korea University, Sungkyunkwan University, and the cybersecurity firm Theori has uncovered systemic design flaws and critical implementation vulnerabilities in the very software meant to protect millions of South Koreans. In total, the team found 19 severe security issues across seven KSA tools, including keylogging, remote code execution, man-in-the-middle attacks, certificate exfiltration, and user tracking.

 

The research was motivated by real-world attacks: in several confirmed incidents, North Korean threat actors exploited vulnerabilities in these very security tools to compromise South Korean users. These events prompted the researchers to conduct a deeper investigation into the KSA ecosystem—and what they found was alarming.

 

“The fact that this software is mandated and installed across millions of endpoints makes it an especially attractive and efficient target,” said Professor Yongdae Kim of KAIST. “After seeing repeated evidence that attackers were exploiting these tools—not despite their security function, but because of it—we realized a systematic analysis was urgently needed.”

 

While some of the flaws discovered by the researchers have since been patched, many of the root causes remain unresolved. At issue is the architecture itself: rather than working with modern browser security models, KSA tools bypass them entirely. Designed to provide enhanced protections like encrypted keyboard input and certificate management, KSAs accomplish this by circumventing browser-level protections such as the Same-Origin Policy, sandboxing, and privilege separation—core tenets of modern web security.

 

Historically, this was achieved through now-defunct technologies like ActiveX. After ActiveX was phased out in 2015 due to widespread vulnerabilities, developers began distributing standalone executable files (.exe) that performed the same functions with many of the same risks—effectively reintroducing the problem in a different form.

 

In two proof-of-concept videos released by the research team, an attacker-controlled website is shown intercepting keystrokes—including passwords—and silently downloading malware by abusing KSA components. These behaviors would be blocked under standard browser security, but the KSAs, running with elevated privileges, make them possible.

 

A nationwide survey of 400 South Korean users found that 97.4% had installed KSA software, while nearly 60% said they didn’t understand what the programs did. Analysis of 48 real-world PCs revealed that users had an average of nine KSA programs installed, many of them outdated by several years.

 

“This isn’t just about bugs,” said Kim. “This is a philosophical misalignment between modern security standards and legacy design choices. When you hardcode mistrust of the web into your system architecture, you end up with software that behaves like spyware.”

 

The researchers argue that it’s time for South Korea to abandon its reliance on non-standard, government-mandated software and instead embrace web standards and modern browser-based security models. They warn that, if left unaddressed, the KSA ecosystem will continue to pose not only a risk to individual users but also a systemic threat to national cybersecurity.

 

The full paper, “Too Much of a Good Thing: (In-)Security of Mandatory Security Software for Financial Services in South Korea,” will be presented at the USENIX Security Symposium 2025, one of the premier venues for cybersecurity research. The project was supported by grants from the Institute of Information & Communications Technology Planning & Evaluation (IITP).

 

Paper: Too Much of a Good Thing (PDF)

 

Demo Video 1 (Keystroke Interception)

 

 

Demo Video 2 (Remote Code Execution):

교수님 360 1
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< Photo 1. (From left) Professor Jae-Woong Jeong and PhD candidate Simok Lee of the School of Electrical Engineering>

A team of researchers from KAIST and Seoul National University has developed a groundbreaking electronic ink that enables room-temperature printing of variable-stiffness circuits capable of switching between rigid and soft modes. This advancement marks a significant leap toward next-generation wearable, implantable, and robotic devices.

 

Variable-stiffness electronics are at the forefront of adaptive technology, offering the ability for a single device to transition between rigid and soft modes depending on its use case. Gallium, a metal known for its high rigidity contrast between solid and liquid states, is a promising candidate for such applications. However, its use has been hindered by challenges including high surface tension, low viscosity, and undesirable phase transitions during manufacturing.

 

On June 4th, a research team led by Professor Jae-Woong Jeong from the School of Electrical Engineering at KAIST, Professor Seongjun Park from the Digital Healthcare Major at Seoul National University, and Professor Steve Park from the Department of Materials Science and Engineering at KAIST introduced a novel liquid metal electronic ink. This ink allows for micro-scale circuit printing – thinner than a human hair – at room temperature, with the ability to reversibly switch between rigid and soft modes depending on temperature.

 

The new ink combines printable viscosity with excellent electrical conductivity, enabling the creation of complex, high-resolution multilayer circuits comparable to commercial printed circuit boards (PCBs). These circuits can dynamically change stiffness in response to temperature, presenting new opportunities for multifunctional electronics, medical technologies, and robotics.

 

Conventional electronics typically have fixed form factors – either rigid for durability or soft for wearability. Rigid devices like smartphones and laptops offer robust performance but are uncomfortable when worn, while soft electronics are more comfortable but lack precise handling. As demand grows for devices that can adapt their stiffness to context, variable-stiffness electronics are becoming increasingly important.

 

images 000098 Image 01 900
< Figure 1. Fabrication process of stable, high-viscosity electronic ink by dispersing micro-sized gallium particles in a polymer matrix (left). High-resolution large-area circuit printing process through pH-controlled chemical sintering (right).>

 

To address this challenge, the researchers focused on gallium, which melts just below body temperature. Solid gallium is quite stiff, while its liquid form is fluid and soft. Despite its potential, gallium’s use in electronic printing has been limited by its high surface tension and instability when melted.

 

To overcome these issues, the team developed a pH-controlled liquid metal ink printing process. By dispersing micro-sized gallium particles into a hydrophilic polyurethane matrix using a neutral solvent (dimethyl sulfoxide, or DMSO), they created a stable, high-viscosity ink suitable for precision printing. During post-print heating, the DMSO decomposes to form an acidic environment, which removes the oxide layer on the gallium particles. This triggers the particles to coalesce into electrically conductive networks with tunable mechanical properties.

 

The resulting printed circuits exhibit fine feature sizes (~50 μm), high conductivity (2.27 × 10⁶ S/m), and a stiffness modulation ratio of up to 1,465 – allowing the material to shift from plastic-like rigidity to rubber-like softness. Furthermore, the ink is compatible with conventional printing techniques such as screen printing and dip coating, supporting large-area and 3D device fabrication.

 

images 000098 Image 02 900
< Figure 2. Key features of the electronic ink. (i) High-resolution printing and multilayer integration capability. (ii) Batch fabrication capability through large-area screen printing. (iii) Complex three-dimensional structure printing capability through dip coating. (iv) Excellent electrical conductivity and stiffness control capability.>

 

The team demonstrated this technology by developing a multi-functional device that operates as a rigid portable electronic under normal conditions but transforms into a soft wearable healthcare device when attached to the body. They also created a neural probe that remains stiff during surgical insertion for accurate positioning but softens once inside brain tissue to reduce inflammation – highlighting its potential for biomedical implants.

 

images 000098 Image 03 900
< Figure 3. Variable stiffness wearable electronics with high-resolution circuits and multilayer structure comparable to commercial printed circuit boards (PCBs). Functions as a rigid portable electronic device at room temperature, then transforms into a wearable healthcare device by softening at body temperature upon skin contact.>

 

“The core achievement of this research lies in overcoming the longstanding challenges of liquid metal printing through our innovative technology,” said Professor Jeong. “By controlling the ink’s acidity, we were able to electrically and mechanically connect printed gallium particles, enabling the room-temperature fabrication of high-resolution, large-area circuits with tunable stiffness. This opens up new possibilities for future personal electronics, medical devices, and robotics.”

 

images 000098 Image 04 900
< Figure 4. Body-temperature softening neural probe implemented by coating electronic ink on an optical waveguide structure. (Left) Remains rigid during surgery for precise manipulation and brain insertion, then softens after implantation to minimize mechanical stress on the brain and greatly enhance biocompatibility. (Right) >

 

This research was published in Science Advances under the title, “Phase-Change Metal Ink with pH-Controlled Chemical Sintering for Versatile and Scalable Fabrication of Variable Stiffness Electronics.” The work was supported by the National Research Foundation of Korea, the Boston-Korea Project, and the BK21 FOUR Program.

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1
<(From left) Daebeom Kim (Ph.D. candidate, team leader), Seungjae Lee (Ph.D. candidate), Seoyeon Jang (Ph.D. candidate), Jei Kong (M.S. candidate), Professor Hyun Myung>
The Urban Robotics Lab, led by Professor Hyun Myung from the School of Electrical Engineering, secured the first place overall at the “Nothing Stands Still (NSS) Challenge 2025,”held in the “Future of Construction: Safe, Reliable, and Precise Robots in Construction Environments” workshop at the 2025 IEEE International Conference on Robotics and Automation (ICRA), the world’s premier robotics conference, which took place in Atlanta, USA, from May 19 to 23, 2025.
 
NSS Challenge is co-hosted by HILTI, a global construction company based in Liechtenstein, and Gradient Spaces Group at Stanford University. It is an advanced version of HILTI SLAM (Simultaneous Localization and Mapping) Challenge, which has been held since 2021, and is now considered one of the most prestigious challenges at ICRA.
 
 
2
<A scene from the oral presentation on the winning team’s technology (presenters: Seungjae Lee and Seoyeon Jang, Ph.D. candidates)>

 

This challenge evaluates how accurately and robustly LiDAR scan data, collected across various time periods in structurally dynamic environments such as construction and industrial sites, can be registered. Rather than focusing solely on single-instance registration accuracy, it emphasizes multi-session localization and mapping (Multi-session SLAM) technologies capable of handling structural changes over time, making it one of the most technically demanding competitions in the field.
 
Urban Robotics Lab team secured the first place overall by a significant margin over National Taiwan University (3rd place) and Northwestern Polytechnical University of China (2nd place), with their novel localization and mapping technology that solves the alignment problem of LiDAR data collected across diverse periods and locations. The winning team will be awarded a prize of $4,000.
 
 
3
<Fig. 1. Example of multiway registration of LiDAR scans from different time periods>

 

Urban Robotics Lab team developed a multiway registration framework capable of robustly aligning multiple scans without prior connectivity information. This framework consists of three core components: CubicFeat, an algorithm that summarizes local features within each scan and identifies correspondences; Quatro, a global registration algorithm that aligns scans based on those correspondences; and Chamelion, a refinement module based on change detection. This combination of techniques shows stable alignment performance even in highly dynamic industrial environments by focusing on static structural elements.

 

4
<Fig. 2. Example of change detection using the Chamelion algorithm>

 

LiDAR scan registration technology is a core component of SLAM used in various autonomous systems, including self-driving cars, autonomous robots, legged platforms, aerial vehicles, and maritime navigation systems. In particular, the awarded technology has demonstrated exceptional precision in estimating the relative poses between scans in complex environments, proving both its academic significance and practical applicability in industry.
 
Professor Hyun Myung of the School of Electrical Engineering at KAIST stated, “It is deeply meaningful to have demonstrated our technological capabilities by solving multi-session SLAM challenges in complex and constantly changing industrial environments.” He added, “I am grateful to the students who persevered and never gave up, even when many other teams withdrew due to the difficulty of the competition.”
 
 
5
<Competition leaderboard; lower RMSE (Root Mean Square Error) indicates a higher score. (Unit: meters)>

 

The Urban Robotics Lab team first participated in the SLAM Challenge in 2022, winning 2nd place in the academic division, and in 2023, they took 1st place overall in the LiDAR division and 1st place in the academic division of the vision track.

360
750
<Ph.D. candidate Hyejeong Yeon>

Hyejeong Yeon, a Ph.D. candidate in the School of Electrical and Electronic Engineering at KAIST under the supervision of Professor Kyung Cheol Choi, received the Distinguished Student Paper Award at SID 2025 (Society for Information Display 2025 International Symposium – Display Week 2025) held from May 11 to 16.

 

SID is the most prestigious international symposium in the field of display technology. In 2025, a total of 925 papers from 20 countries were submitted, and outstanding papers were selected by each technical committee.

 

The paper by Hyejeong Yeon, a Ph.D. candidate, was recognized by the Flexible Displays Committee for its excellence, and was selected as a Distinguished Student Paper, and the title of the awarded paper is: “Flexible Bifacial OLED-Based Photomedicine for User-Friendly Healthcare Platforms.”

 

2
<Distinguished Student Paper Award(Left), Young Leadership Conference Participation Certificate(Right)>

 

The research was published in the Journal of the SID under the title : “Wearable User-Centric Phototherapeutics with Bifacial OLEDs for At-Home Wound Healing.” Furthermore, Yeon was selected to present her work at the Young Leadership Conference, a special session for promising young researchers, where her study was chosen as one of the top 10 outstanding papers of the year.

 

  • Conference: SID 2025 (Society for Information Display 2025 International Symposium – Display Week 2025)
  • Date: May 11–16, 2025
  • Award: Distinguished Student Paper Award
  • Paper Title: Flexible Bifacial OLED-Based Photomedicine for User-Friendly Healthcare Platforms
  • Paper Link: https://doi.org/10.1002/jsid.2076
교수님360
교수님 900
〈(from left) Ph.D. candidate Jiwan Kim, Professor Ian Oakley and Ph.D. candidate Mingyu Han 〉
When will the futuristic vision of natural gesture-based interaction with computers, as seen in sci-fi films like Iron Man, become a reality? Researchers from the KAIST School of Electrical Engineering have developed AI technologies that enable natural and expressive input for wearable devices.
 
Professor Ian Oakley’s research team at KAIST’s School of Electrical Engineering has developed two systems: BudsID, a finger-identification system for wireless earbuds, and SonarSelect, which enables mid-air gesture input on commercial smartwatches. These two studies were presented at the ACM Conference on Human Factors in Computing Systems (CHI)—the world’s premier conference in the field of human-computer interaction—held in Yokohama, Japan from April 26 to May 1. The presentations were part of the “Earables and Hearable” and “Interaction Techniques” sessions, respectively.

 

BudsID uses magnetic sensing to distinguish between fingers based on magnetic field changes that occur when a user wearing a magnetic ring touches an earbud. A lightweight deep learning model identifies which finger is used, allowing different functions to be assigned to each finger, thus expanding the input expressiveness of wireless earbuds.

 

1
<Figure 1: Overall system architecture of BudsID: A user wears a magnetic ring, and magnetic field variations upon earbud touch are detected via deep learning to identify the finger and assign different functions accordingly, enhancing interaction expressiveness.>

 

This magnetic sensing system for wireless earbuds allows users to go beyond traditional interactions like play, pause, or call handling. By mapping different functions or input commands to individual fingers, the interaction capabilities can extend to augmented reality device control and beyond.

 

SonarSelect leverages active sonar sensing using only the built-in microphone, speaker, and motion sensors of a commercial smartwatch. It recognizes mid-air gestures around the device, enabling precise pointer manipulation and target selection.

2
<Figure 2: Three target selection methods using SonarSelect’s around-device movement sensing on commercial smartwatches: A) Double-Crossing, B) Dwelling, C) Pinching.>

 

This gesture interaction technology, based on finger movements detected via active sonar, addresses usability issues of small smartwatch screens and touch occlusion. It enables delicate 3D spatial interactions around the device.

 

Jiwan Kim, first author of both papers, said, “We hope our research into around-device sensing for wearable interaction technologies will help shape the future of how people interact with wearable computing devices.”

 

Professor Ian Oakley’s research team has made both project systems available as open source, allowing researchers and industry professionals to freely use the technology.

 

[BudsID]

[SonarSelect]

 

This research was supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (grants 2023R1A2C1004046, RS-2024-00407732) and the Institute for Information & Communications Technology Planning & Evaluation (IITP) under the University ICT Research Center (ITRC) support program (IITP-2024-RS-2024-00436398).

 
교수님 홍보 이미지영

교수님 홍보 이미지영

EE Professor Sanghyeon Kim’s lab has been selected for one of five new ICT projects for the first half of this year by the Samsung Research Funding & Incubation Center for Future Technology.

 

The Samsung Research Funding & Incubation Center for Future Technology is a funding initiative that supports innovative research projects across a wide range of fields, from natural sciences to engineering, with the aim of advancing science, technology, and industry in Korea.

 

Professor Kim’s lab will carry out a project titled “Low-Loss Active Power Delivery Network with Embedded On-Chip Voltage Regulator for Ultra-Low Power Computing” The research team plans to explore a solution to the power delivery problem, which has recently emerged as a key issue in the fields of semiconductor chips and packaging. Specifically, they will investigate a method of delivering power at high voltage and stepping it down on the backside of the chip.

 

The goal is to implement an on-chip voltage regulator using GaN-based switches, which have excellent material potential, and ferroelectric capacitors. Ultimately, the core idea is to integrate this system as an active component of the backside power delivery network (BSPDN).

 

Meanwhile, the foundational concept of this project was presented by the research team at IEDM — one of the three major conferences in the semiconductor field—in December last year, and improved technologies will be presented at the upcoming VLSI Symposium in June.

교수님 360 2
교수님 사업수주
< Figure 1. (From left) Professor Myoungsoo Jung, Professor John Kim, Professor Song Min Kim, Professor Minsoo Rhu >
Professors Myoungsoo Jung, John Kim, Song Min Kim, Minsoo Rhu, have recently been awarded 40 billion KRW in national R&D funding by the Ministry of Science and ICT and the Institute of Information & Communications Technology Planning & Evaluation (IITP), as part of the ‘K-Cloud Project’ initiative.
 
The K-Cloud Project aims to strengthen the domestic cloud industry’s competitiveness by securing world-class low-power, high-performance data center hardware and software core technologies. Under the leadership of Professor Jung, our research team has been selected for the K-Cloud Project that focuses on developing computational memory hardware based on AI infrastructure, AI integration, Compute Express Link (CXL), and chiplet technologies. The research team will receive over 40 billion KRW in research funding over the next four years.
 
The K-Cloud Project is a national initiative designed to enhance the country’s competitiveness in cloud computing industry, developing hardware and software technologies which are necessary for building datacenters with ultra-high speed and low-power. As part of this K-Cloud Project, the research team, which is led by Prof. Myoungsoo Jung, have been selected to lead programs focused on AI infrastructure, AI integration, Compute Express Link (CXL), and silicon hardware of computational memory based on chiplet technologies, securing 40B KRW in research funding over the next four years.
 
Specifically, the team will develop a low-power, high-performance SoC for computational memory, which minimizes data movement by performing AI-related computations close to where data is stored. In addition, the team will develop technologies to construct integrated AI systems by interconnecting these devices using CXL, a high-speed interconnect protocol. Finally, the team will apply optimization software based on AI algorithm to complete an AI infrastructure platform and validate its performance using real-world workloads such as large language models (LLMs), retrieval-augmented generation (RAG), and recommendation systems.
 
 
교수님 그림 2
< SoC Architecture >

 

This project, including the development of these core technologies, is led by Panmnesia—a faculty startup founded by Professor Myoungsoo Jung—and involves participation from other KAIST research groups from our department. This includes research teams of Professors John Kim, Minsoo Rhu, and Song Min Kim. In addition, a university-industry consortium comprising Seoul National University, Yonsei University, Korea University, Hanyang University, Chung-Ang University, POSTECH, and UNIST, the Korea Electronics Technology Institute (KETI), and four industry partners is collaborating on the project. External institutions, such as Chung-Ang University Hospital, will also collaborate for real-world validation and demonstration.
 
Through this effort, we expect that the collaboration between faculty startups and research laboratories originating from our department will produce impactful research outcomes that contribute to both academia and industry.
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< (From left) Professor Chris Donahue of Carnegie Mellon University, Ph.D. candidate Yewon Kim of the School of Electrical Engineering at KAIST, and Professor Sung-Ju Lee of the School of Electrical Engineering at KAIST >

 

Imagine if music creators had a collaborator who could help brainstorm initial ideas or assist when they hit a creative block or someone who could genuinely support exploring various musical directions. A research team at KAIST’s School of Electrical Engineering has developed an AI tool designed to be such a co-creative partner in music composition.

 

Professor Sung-Ju Lee’s research team at the School of Electrical Engineering has developed an AI-based music creation support system named Amuse. This research was awarded the Best Paper Award, an honor given to only the top 1% of papers, at CHI (ACM Conference on Human Factors in Computing Systems), the world’s leading conference in human-computer interaction, held in Yokohama, Japan from April 26 to May 1.

 

Amuse is an AI-based system that supports songwriting by transforming diverse forms of inspiration, such as text, images, or audio, into harmonic structures (chord progressions). For example, when a user inputs a phrase like “memories of a warm summer beach,” an image, or a sound clip, Amuse generates and suggests a chord progression that matches the mood and atmosphere of the inspiration.

 

Unlike conventional generative AI, Amuse respects the user’s creative process and offers a flexible, interactive approach that allows users to modify and integrate the AI’s suggestions, encouraging natural and creative exploration.

 

The core technology of the Amuse system is a hybrid generation method. It first uses a large language model to generate music chords based on the user’s textual input. Then, a second AI model trained on actual music data filters out unnatural or awkward results through a process called rejection sampling. These two processes are seamlessly integrated to produce musically coherent outcomes.

 

피겨1
< (Figure 1) System structure of Amuse. Music-related keywords are extracted from user input, and a chord progression is generated using a large language model and refined via rejection sampling (left). Chords can also be extracted from audio inputs (right). The bottom visualizes the harmonic structure of the generated chords. >

 

The research team conducted user studies with actual musicians, and the findings suggest that Amuse has strong potential not just as a music-generating tool but as a co-creative partner that enables collaboration between humans and AI.

 

The study, authored by Ph.D. candidate Yewon Kim(KAIST), Professor Sung-Ju Lee(KAIST), and Professor Chris Donahue (Carnegie Mellon University), demonstrates the creative potential of AI systems for both academia and industry.

<Demo Video>
 

Professor Sung-Ju Lee stated, “Recent generative AI technologies have raised concerns due to the risk of replicating copyrighted content or producing results that ignore the creator’s intent. Our team was aware of these issues and focused on what creators actually need, prioritizing user-centric design in developing this AI system.”

 

He added, “Amuse is an attempt to explore collaborative possibilities with AI while maintaining the creator’s agency. We expect it to be a starting point that guides future development of AI-powered music tools toward a more creator-friendly direction.”

 

This research was supported by the National Research Foundation of Korea (NRF), funded by the Ministry of Science and ICT. (Project No. RS-2024-00337007)

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