Developer docs
API playgroundTry for free, no card

Search company profiles

KAIST AI

Full company profile

uuid00eig7p

Namestring
KAIST AI
Legal namestring
Korea Advanced Institute of Science and Technology (KAIST) Kim Jaechul Graduate School of AI
Company typeenum
Private
Founded yearint
2019
Descriptiontext

KAIST AI, formally the Kim Jaechul Graduate School of AI at Korea Advanced Institute of Science and Technology (KAIST), is a graduate-level academic institution established in Fall 2019 as the first dedicated AI graduate school in South Korea. It offers MS, MS/PhD integrated, and PhD programs in Artificial Intelligence, delivered through a structured curriculum spanning foundational machine learning (AI501-510), advanced electives (AI601-624), and specialized topics (AI701-709) including Large Language Models, Diffusion Models, and Bayesian Deep Learning. The school is staffed by 25 core, 42 affiliated, and 8 invited/adjunct faculty whose prior research experience spans Google Brain, IBM T.J. Watson, Facebook AI Research, Microsoft Research, Nvidia Research, Disney Research, Lawrence Berkeley National Laboratory, Samsung Advanced Institute of Technology, and Naver. Beyond degree programs, KAIST AI runs the joint KAIST-KIST-AI Robotics Graduate Program (funded by KIST) and a non-degree executive program, the Chief AI Officer (CAIO) course.

KAIST AI's revenue mechanics are academic in nature: tuition and fees from graduate enrollment, supplemented by KIST-funded full scholarships and stipends for robotics program recipients, and research funding that is consolidated under KAIST's parent accounts. The institution markets through academic channels — its university website, international admission portal, conference presence, and faculty networks — and admits students twice yearly (Spring and Fall) through a sales-led admissions process. Its customer base is graduate students pursuing AI research, with CAIO extending reach into working professionals. Specific tuition pricing is not publicly disclosed, and the parent KAIST is a private research university, not a venture- or equity-backed entity.

The school's competitive standing is anchored by a top-5 global ranking in machine learning conference publications (ICML, NeurIPS, ICLR) over 2020-2024 per csrankings.org, placing it 1st in Asia and behind only CMU, MIT, UC Berkeley, and Stanford. It operates across Seoul campuses (Hoegi-ro and the Yangjae Industry-Academic Campus housing the Seoul AI HUB) and a Seongnam Research Center, and is in an active faculty expansion phase with new professors joining in August 2026 and February 2027 across language models, generative models, AI systems, and robotics.

Short descriptiontext

KAIST AI (Kim Jaechul Graduate School of AI), established in 2019 at KAIST, is South Korea's first dedicated AI graduate school, offering MS, MS/PhD integrated, and PhD programs alongside a KIST-funded robotics track and executive education, backed by 75 faculty.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
501–1,000
akta.pro rankint
HeadquartersSeoul, South Korea
HQ citystring
Seoul
HQ countrystring
South Korea
HQ regionstring
Asia
Markets served

Serves global market

Offices5 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
graduate AI education, machine learning research, computer vision research, robotics research, natural language processing
Industry3 codes
1Technical Universities with Computing, Data & AI Focus
CodeEDAHAEAKPrimaryYes
2AI/ML Learning Platforms for Students
CodeEDAFANAEPrimaryNo
3AI & Machine Learning (Foundations & Applied)
CodeEDAMACAGPrimaryNo
NAICS code2 codes
  • Colleges, Universities, and Professional Schools6113
  • Computer Training61142
SIC code1 code
  • Services-Educational Services8200
Product category
Graduate Education
Social media profiles2 records
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Graduate Education Programs
TypeSubscription Recurring
Description

Revenue generated through tuition and fees from MS, MS/PhD integrated, and PhD programs in Artificial Intelligence. Students selected for KAIST scholarship in the KAIST-KIST AI Robotics program receive full tuition coverage and stipend from KIST.

gsai.kaist.ac.kr
Marketing channels3 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels2 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Operations, Infrastructure, Marketing or Sales
Pricing details1 tier
1KAIST-KIST AI Robotics Ph.D. Program scholarship covers full tuition and provides stipend
ModelSubscriptionBilling cadenceAnnual
Notes

Students selected as KAIST scholarship recipients receive full tuition coverage and stipend from KIST for eight enrolled semesters. Employment contract with KIST required for supported semesters.

gsai.kaist.ac.kr
GTM typeB2C
B2C
Offering typeServices
Services
Core offering1 text field

The Kim Jaechul Graduate School of AI at KAIST is a graduate academic institution offering MS, MS/PhD integrated, and PhD degrees in Artificial Intelligence, along with a joint KAIST-KIST AI Robotics PhD program and non-degree executive education (e.g., Chief AI Officer). Its core activity is graduate-level AI education and research across machine learning, computer vision, NLP, robotics, data mining, and AI systems.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 2 values shown
  • Ranked 5th globally in ICML, NeurIPS, and ICLR publications (2020-2024)
+1 more record
Product overview1 text field

KAIST AI (Kim Jaechul Graduate School of AI) is Korea's first graduate school dedicated to Artificial Intelligence, established in Fall 2019. It offers a comprehensive portfolio of educational programs: degree programs (MS, MS/PhD integrated, and PhD in AI) and the joint KAIST-KIST-AI Robotics Graduate Program for collaborative robotics research. The academic curriculum spans foundational courses (AI501-510) covering machine learning, deep learning, mathematics, and programming, advanced courses (AI601-624) in NLP, computer vision, reinforcement learning, and AI theory, and specialized offerings (AI701-709) including Large Language Models and Bayesian deep learning. The school also provides non-degree professional education programs such as the Chief AI Officer (CAIO) course.

Product and service3 records
1MS in Artificial Intelligence
CategoryDegree Program
2MS/PhD Integrated Program in AI
CategoryDegree Program
3PhD in Artificial Intelligence
Scale indicator2 records

Each record includes

Type, Value, Description, Source

Partnership8 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2019-09-01
Description

Collaborative KAIST-KIST AI Robotics Graduate Program combining KAIST's educational system with KIST's research environment. Students receive full tuition coverage and stipend from KIST for eight semesters while conducting research at KIST facilities. The program aims to foster future experts in advanced AI robotics.

Strategic tierMinorTypeOthers
Description

Faculty member research background - contributing expertise and research experience to the institution

Strategic tierMinorTypeOthers
Description

Faculty member research background - contributing expertise and research experience to the institution

Strategic tierMinorTypeOthers
Description

Faculty member research background - contributing expertise and research experience to the institution

Strategic tierMinorTypeOthers
Description

Faculty member research background - contributing expertise and research experience to the institution

Strategic tierMinorTypeOthers
Description

Faculty member research background - contributing expertise and research experience to the institution

Strategic tierMinorTypeOthers
Description

Faculty member research background - contributing expertise and research experience to the institution

Strategic tierMinorTypeOthers
Description

Faculty member research background - contributing expertise and research experience to the institution

Recent move7 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeEmerging player
Description

SNU is Korea's top national university and a direct domestic competitor to KAIST for AI graduate students. SNU has been rapidly expanding AI capabilities and competes with KAIST AI for the same Korean applicant pool.

TypeEmerging player
Description

POSTECH established an AI-focused graduate program in Korea, directly competing with KAIST AI for top Korean AI graduate students and faculty. It is the closest domestic challenger within the Korean AI graduate education market.

TypeDirect peer
Description

Peking University is one of the leading AI research universities in China and ranks alongside KAIST at the top of Asian AI publication lists. It is a direct regional competitor for AI graduate students and research prestige in Asia.

TypeDirect peer
Description

MIT CSAIL is one of the largest and most prestigious AI research labs globally, ranking ahead of KAIST AI in ML publications. It is a direct peer for top AI graduate students and faculty recruiting.

TypeDirect peer
Description

CMU's School of Computer Science (including the Machine Learning Department) is the #1-ranked program in ML conference publications, directly competing with KAIST AI for top AI PhD students and faculty. CMU is the explicit benchmark KAIST AI cites in its rankings.

6University of Toronto – Department of Computer Science / Vector Institute
TypeBroad incumbent
Description

University of Toronto (affiliated with the Vector Institute) is a leading North American AI graduate program and a global peer to KAIST AI in AI research output and graduate education quality.

TypeBroad incumbent
Description

ETH Zurich's AI Center is one of Europe's leading AI research and graduate education hubs, competing with KAIST AI for global AI talent and serving as a benchmark for international AI graduate programs.

TypeDirect peer
Description

Stanford AI Lab is a top US research university AI program that directly competes with KAIST AI for global AI graduate students and research output. Stanford ranks ahead of KAIST in ML conference publications and represents the global benchmark in AI graduate education.

TypeDirect peer
Description

Tsinghua University is one of the top AI research universities in Asia and globally, and a direct peer to KAIST AI. Both compete for top Asian AI graduate students and are major producers of AI research output globally.

TypeDirect peer
Description

Shanghai Jiao Tong University is one of the top AI research universities in China and a direct peer to KAIST AI, ranking similarly in top AI conference publications and competing for top Asian AI graduate students.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers1 record

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment2 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability17 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature1 record

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles6 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

KAIST AI

Graduate Educationgsai.kaist.ac.kr

KAIST AI (Kim Jaechul Graduate School of AI), established in 2019 at KAIST, is South Korea's first dedicated AI graduate school, offering MS, MS/PhD integrated, and PhD programs alongside a KIST-funded robotics track and executive education, backed by 75 faculty.

What KAIST AI does

KAIST AI, formally the Kim Jaechul Graduate School of AI at Korea Advanced Institute of Science and Technology (KAIST), is a graduate-level academic institution established in Fall 2019 as the first dedicated AI graduate school in South Korea. It offers MS, MS/PhD integrated, and PhD programs in Artificial Intelligence, delivered through a structured curriculum spanning foundational machine learning (AI501-510), advanced electives (AI601-624), and specialized topics (AI701-709) including Large Language Models, Diffusion Models, and Bayesian Deep Learning. The school is staffed by 25 core, 42 affiliated, and 8 invited/adjunct faculty whose prior research experience spans Google Brain, IBM T.J. Watson, Facebook AI Research, Microsoft Research, Nvidia Research, Disney Research, Lawrence Berkeley National Laboratory, Samsung Advanced Institute of Technology, and Naver. Beyond degree programs, KAIST AI runs the joint KAIST-KIST-AI Robotics Graduate Program (funded by KIST) and a non-degree executive program, the Chief AI Officer (CAIO) course.

KAIST AI's revenue mechanics are academic in nature: tuition and fees from graduate enrollment, supplemented by KIST-funded full scholarships and stipends for robotics program recipients, and research funding that is consolidated under KAIST's parent accounts. The institution markets through academic channels — its university website, international admission portal, conference presence, and faculty networks — and admits students twice yearly (Spring and Fall) through a sales-led admissions process. Its customer base is graduate students pursuing AI research, with CAIO extending reach into working professionals. Specific tuition pricing is not publicly disclosed, and the parent KAIST is a private research university, not a venture- or equity-backed entity.

The school's competitive standing is anchored by a top-5 global ranking in machine learning conference publications (ICML, NeurIPS, ICLR) over 2020-2024 per csrankings.org, placing it 1st in Asia and behind only CMU, MIT, UC Berkeley, and Stanford. It operates across Seoul campuses (Hoegi-ro and the Yangjae Industry-Academic Campus housing the Seoul AI HUB) and a Seongnam Research Center, and is in an active faculty expansion phase with new professors joining in August 2026 and February 2027 across language models, generative models, AI systems, and robotics.

KAIST AI firmographics

Firmographics
Name
KAIST AI
Legal name
Korea Advanced Institute of Science and Technology (KAIST) Kim Jaechul Graduate School of AI
Website
https://gsai.kaist.ac.kr
Company type
Private
Founded year
2019
Operating status
Operating
Headcount range
501–1,000 employees
Short description
KAIST AI (Kim Jaechul Graduate School of AI), established in 2019 at KAIST, is South Korea's first dedicated AI graduate school, offering MS, MS/PhD integrated, and PhD programs alongside a KIST-funded robotics track and executive education, backed by 75 faculty.
Ownership category
akta.pro rank

KAIST AI industry classification

Industry
Product category
Graduate Education
NAICS
Colleges, Universities, and Professional Schools (6113), Computer Training (61142)
SIC
Services-Educational Services (8200)
akta.pro primary industry
Technical Universities with Computing, Data & AI Focus (EDAHAEAK)
akta.pro secondary industries
AI/ML Learning Platforms for Students (EDAFANAE), AI & Machine Learning (Foundations & Applied) (EDAMACAG)

Keywords

  • Graduate AI education
  • Machine learning research
  • Computer vision research
  • Robotics research
  • Natural language processing

Where KAIST AI is headquartered

Location

Headquarters

HQ city
Seoul
HQ country
South Korea
HQ region
Asia

Offices5 records

Markets served

KAIST AI business model

Business model
GTM type
B2C
Offering type
Services
Cost components
Personnel, Technology or R&D, Operations, Infrastructure, Marketing or Sales

Revenue model

  1. Graduate Education Programs: Revenue generated through tuition and fees from MS, MS/PhD integrated, and PhD programs in Artificial Intelligence. Students selected for KAIST scholarship in the KAIST-KIST AI Robotics program receive full tuition coverage and stipend from KIST.

Pricing tiers

ModelBillingPrice
SubscriptionAnnualKAIST-KIST AI Robotics Ph.D. Program scholarship covers full tuition and provides stipend

Go-to-market motion1 record

Distribution channels2 records

Marketing channels3 records

KAIST AI product offering

Product offering

Core offering

The Kim Jaechul Graduate School of AI at KAIST is a graduate academic institution offering MS, MS/PhD integrated, and PhD degrees in Artificial Intelligence, along with a joint KAIST-KIST AI Robotics PhD program and non-degree executive education (e.g., Chief AI Officer). Its core activity is graduate-level AI education and research across machine learning, computer vision, NLP, robotics, data mining, and AI systems.

Product overview

KAIST AI (Kim Jaechul Graduate School of AI) is Korea's first graduate school dedicated to Artificial Intelligence, established in Fall 2019. It offers a comprehensive portfolio of educational programs: degree programs (MS, MS/PhD integrated, and PhD in AI) and the joint KAIST-KIST-AI Robotics Graduate Program for collaborative robotics research. The academic curriculum spans foundational courses (AI501-510) covering machine learning, deep learning, mathematics, and programming, advanced courses (AI601-624) in NLP, computer vision, reinforcement learning, and AI theory, and specialized offerings (AI701-709) including Large Language Models and Bayesian deep learning. The school also provides non-degree professional education programs such as the Chief AI Officer (CAIO) course.

Differentiator

Problem solved

Functional benefit

Products and services

  • MS in Artificial Intelligence
  • MS/PhD Integrated Program in AI
  • PhD in Artificial Intelligence

Quantifiable outcome

  • Ranked 5th globally in ICML, NeurIPS, and ICLR publications (2020-2024)
  • +1 more outcomes

Companies that use KAIST AI

Customer profile

Named customers1 record

Segments2 records

Ideal customer profiles3 records

KAIST AI technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability17 records

Feature1 record

KAIST AI partnerships and signals

Strategic signal

Partnerships

Eight partnerships are on record, tiered core and minor.

  • KIST (Korea Institute of Science and Technology)coreStrategic or Co-development Partner · 1 September 2019Collaborative KAIST-KIST AI Robotics Graduate Program combining KAIST's educational system with KIST's research environment. Students receive full tuition coverage and stipend from KIST for eight semesters while conducting research at KIST facilities. The program aims to foster future experts in advanced AI robotics.
  • Google BrainminorOthersFaculty member research background - contributing expertise and research experience to the institution
  • IBM T.J. Watson Research CenterminorOthersFaculty member research background - contributing expertise and research experience to the institution
  • Facebook AI ResearchminorOthersFaculty member research background - contributing expertise and research experience to the institution
  • Microsoft ResearchminorOthersFaculty member research background - contributing expertise and research experience to the institution
  • Nvidia ResearchminorOthersFaculty member research background - contributing expertise and research experience to the institution
  • Samsung Advanced Institute of TechnologyminorOthersFaculty member research background - contributing expertise and research experience to the institution
  • NaverminorOthersFaculty member research background - contributing expertise and research experience to the institution

Scale indicators2 records

Recent moves7 records

Expansion highlights6 records

KAIST AI competitors and assessment

Company assessment

Emerging players

  • Seoul National University – Department of Computer Science and Engineering: SNU is Korea's top national university and a direct domestic competitor to KAIST for AI graduate students. SNU has been rapidly expanding AI capabilities and competes with KAIST AI for the same Korean applicant pool.
  • POSTECH – Graduate School of AI: POSTECH established an AI-focused graduate program in Korea, directly competing with KAIST AI for top Korean AI graduate students and faculty. It is the closest domestic challenger within the Korean AI graduate education market.

Direct peers

  • Peking University – School of Computer Science: Peking University is one of the leading AI research universities in China and ranks alongside KAIST at the top of Asian AI publication lists. It is a direct regional competitor for AI graduate students and research prestige in Asia.
  • MIT – CSAIL: MIT CSAIL is one of the largest and most prestigious AI research labs globally, ranking ahead of KAIST AI in ML publications. It is a direct peer for top AI graduate students and faculty recruiting.
  • Carnegie Mellon University – School of Computer Science: CMU's School of Computer Science (including the Machine Learning Department) is the #1-ranked program in ML conference publications, directly competing with KAIST AI for top AI PhD students and faculty. CMU is the explicit benchmark KAIST AI cites in its rankings.
  • Stanford University – Stanford AI Lab (SAIL): Stanford AI Lab is a top US research university AI program that directly competes with KAIST AI for global AI graduate students and research output. Stanford ranks ahead of KAIST in ML conference publications and represents the global benchmark in AI graduate education.
  • Tsinghua University – Department of Computer Science / AI Institute: Tsinghua University is one of the top AI research universities in Asia and globally, and a direct peer to KAIST AI. Both compete for top Asian AI graduate students and are major producers of AI research output globally.
  • Shanghai Jiao Tong University – School of AI / Computer Science: Shanghai Jiao Tong University is one of the top AI research universities in China and a direct peer to KAIST AI, ranking similarly in top AI conference publications and competing for top Asian AI graduate students.

Broad incumbents

  • University of Toronto – Department of Computer Science / Vector Institute: University of Toronto (affiliated with the Vector Institute) is a leading North American AI graduate program and a global peer to KAIST AI in AI research output and graduate education quality.
  • ETH Zurich – AI Center: ETH Zurich's AI Center is one of Europe's leading AI research and graduate education hubs, competing with KAIST AI for global AI talent and serving as a benchmark for international AI graduate programs.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

KAIST AI social profiles

Digital presence

KAIST AI financial estimates

Financial estimate

Revenue estimate

Valuation estimate

KAIST AI leadership team

Management profile

Number of profiles

Profiles6 records

KAIST AI funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

KAIST AI M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about KAIST AI

What does KAIST AI do?

The Kim Jaechul Graduate School of AI at KAIST is a graduate academic institution offering MS, MS/PhD integrated, and PhD degrees in Artificial Intelligence, along with a joint KAIST-KIST AI Robotics PhD program and non-degree executive education (e.g., Chief AI Officer). Its core activity is graduate-level AI education and research across machine learning, computer vision, NLP, robotics, data mining, and AI systems.

Is KAIST AI a public or private company?

KAIST AI is a private company. It is classified as state government owned and is currently operating.

When was KAIST AI founded?

KAIST AI was founded in 2019. It employs 501 to 1,000 people.

Where is KAIST AI based?

KAIST AI is headquartered in Seoul, South Korea, in the Asia region.

How does KAIST AI make money?

One revenue line is on record: graduate Education Programs.

Who are KAIST AI's main competitors?

Emerging players on record are Seoul National University – Department of Computer Science and Engineering and POSTECH – Graduate School of AI. Direct peers are Peking University – School of Computer Science, MIT – CSAIL, Carnegie Mellon University – School of Computer Science, Stanford University – Stanford AI Lab (SAIL), Tsinghua University – Department of Computer Science / AI Institute and Shanghai Jiao Tong University – School of AI / Computer Science. Broad incumbents are University of Toronto – Department of Computer Science / Vector Institute and ETH Zurich – AI Center.

Does KAIST AI have an API?

No public API is recorded for KAIST AI.

What industry is KAIST AI in?

KAIST AI's product category is Graduate Education. Its primary akta.pro industry code is EDAHAEAK, Technical Universities with Computing, Data & AI Focus, with a secondary code of EDAFANAE, AI/ML Learning Platforms for Students. Its NAICS code is 6113 and its SIC code is 8200.

Unlock the full company data

50 free credits on sign-up, no credit card required.

Contact sales
Live signals
Naver"5초 만에 물성 파악"…KAIST, 시뮬레이션으로 월드 모델 고도화KAIST introduced its World Foundation Model at AI Festa 26, using physics-based simulations to reduce training costs. The model features PhysHanDI for reconstructing deformable objects and MPMAvatar for clothed avatars, enabling precise prediction from 5-second videos. It is being developed with LG Electronics.NateKAIST, 데이터 추가·삭제에도 AI 검색 정확도 유지하는 기술 개발 : 네이트 뉴스KAIST researchers developed a technology that maintains AI search accuracy during data additions and deletions, tested over six hours with 100 million data points. The system achieved faster response times and higher accuracy than comparable techniques. It is expected to support dynamic AI services like RAG, enabling stable retrieval of latest information.Naver“데이터 추가·삭제 반복돼도 문제없다”…KAIST, AI 검색 정확도 24.5%↑KAIST researchers developed CONDA, a dynamic vector search that maintains high accuracy despite continuous data updates and deletions. In a 100-million-data environment, it improved search accuracy by up to 24.5% and speed by 1.90x. The technology is being integrated into GraphAI's AkasicDB, with a version expected in Q4.Naver'데이터 바뀌어도 최신 정보 안놓친다' AI 기술개발KAIST researchers developed CONDA, a dynamic vector search technology that maintains high accuracy when data is continuously added or deleted. Experiments showed up to 24.5% higher search accuracy and 1.90x faster data processing. The technology will be integrated into GraphAI's AkasicDB, scheduled for commercialization in Q2-Q4 2025.Naver뉴로메카, 카이스트와 '단일 카메라 기반 정밀 작업 로봇 AI' 개발Newroeca and KAIST developed SCDP, a single-camera-based AI for precise manipulation, and demonstrated it on their EIR humanoid robot separating stacked paper cups. In high-difficulty tasks, SCDP achieved an 82.5% success rate, outperforming a baseline by 8.3 percentage points. The company plans to explore industrial applications that simplify wrist-mounted hardware.Nate옛 대전 대덕경찰서, 방산기업 AI 실증 지원 거점으로 탈바꿈 : 네이트 뉴스Daejeon City and the Army signed an agreement to turn the old Daejeon Police Station into a hub for AI development and validation for defense firms. The plan includes building test infrastructure in Yimsim-dong and remodeling Bonggwan-dong, with KAIST and Hannam University involved. Daejeon was also selected as a defense 'small and medium' special zone.Nate대전시-육군, 방산 인공지능 전환 힘 모은다 : 네이트 뉴스Daejeon City and the South Korean Army signed a cooperation agreement on military AI, with the Army's Daejeon center opening in late October. The center will be built on the former Daedeok Police Station site, with KAIST and Hannam University providing AI development and infrastructure. The city plans to link the center with the Ministry of Trade, Industry and Energy's special zone for advanced guided weapons.Naver대전시-육군, 방산 인공지능 전환 힘 모은다Daejeon City and the South Korean Army signed a cooperation agreement on defense AI on October 28. The agreement aims to link military data and local AI research to develop and validate AI solutions. The Army's Daejeon hub will open by late October, with KAIST and Hannam University involved.Nate대전시-육군, 방산 인공지능 전환(AX) 협력체계 구축 : 네이트 뉴스Daejeon Mayor Heo Tae-jung and Army Chief Kim Gyu-ha signed an agreement to expand industry-academia-military cooperation on defense AI. The deal links military data and needs with Daejeon's AI capabilities, and the city will develop a Daejeon Army AX hub at the former police station, with KAIST and Hannam University leading AI development.Naver대전시·육군 ‘방산 AX’ 맞손…지역 방산기업 기술개발·실증 지원Daejeon City and the ROK Army signed a cooperation agreement on defense AI (AX) on August 28, aiming to combine military data with local AI research. The agreement includes joint R&D and a cluster center in Daejeon, with a military AX branch and KAIST and Hannam University involvement. The center is expected to open by late October.