2026-02-17 22:41 KST Β· by Angtiger Β· 맀일 10:00 KST μ—…λ°μ΄νŠΈ
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Google DeepMind AlphaFold: Five years of impact
AlphaFold 5μ£Όλ…„: 노벨상을 μˆ˜μƒν•œ AIκ°€ μ „ 세계 과학적 λ°œκ²¬μ„ κ°€μ†ν™”ν•œ 영ν–₯을 λŒμ•„λ³Έλ‹€.
Meta AI Blog Omnilingual ASR: Advancing Automatic Speech Recognition for 1,600+ Languages
Omnilingual ASR: 1,600개 이상 μ–Έμ–΄λ₯Ό μœ„ν•œ μžλ™ μŒμ„± 인식 기술 λ°œμ „.
Meta AI Blog Introducing SAM 3D: Powerful 3D Reconstruction for Physical World Images
SAM 3D: Segment Anything을 3차원 λ°μ΄ν„°λ‘œ ν™•μž₯ν•œ κ°•λ ₯ν•œ 3D 볡원 λͺ¨λΈ.
Meta AI Blog Introducing Meta Segment Anything Model 3 and Segment Anything Playground
Segment Anything Model 3: μ°¨μ„ΈλŒ€ λ²”μš© 이미지 μ„Έκ·Έλ©˜ν…Œμ΄μ…˜ λͺ¨λΈκ³Ό Segment Anything Playground μ†Œκ°œ.
Meta AI Blog ExecuTorch Adoption in Reality Labs: Powering On-Device AI Across Meta Devices
ExecuTorch와 Reality Labs: Meta λ””λ°”μ΄μŠ€ μ „λ°˜μ— 걸친 μ˜¨λ””λ°”μ΄μŠ€ AI μ—­λŸ‰.
Meta AI Blog How Conservation X Labs Is Using Segment Anything Model 3 for Endangered Wildlife Monitoring
Segment Anything을 ν™œμš©ν•œ λ©Έμ’… μœ„κΈ° 야생동물 보전 및 λͺ¨λ‹ˆν„°λ§.
Meta AI Blog The Universities Space Research Association Applies Segment Anything Model for Responding to Flood Emergencies
USRAκ°€ SAM을 ν™œμš©ν•˜μ—¬ ν™μˆ˜ κΈ΄κΈ‰ λŒ€μ‘ 및 λͺ¨λ‹ˆν„°λ§μ„ μˆ˜ν–‰ν•˜λŠ” 사둀.
Meta AI Blog How DINO and SAM are Helping Modernize Essential Medical Triage Practices
UPenn이 DINO와 SAM을 ν™œμš©ν•˜μ—¬ 의료 νŠΈλ¦¬μ•„μ§€ ν”„λ‘œμ„ΈμŠ€λ₯Ό ν˜„λŒ€ν™”ν•˜λŠ” 방법.
Meta AI Blog Reducing Government Costs and Increasing Access to Greenspaces in the United Kingdom with DINO
Meta AI의 DINOλ₯Ό ν™œμš©ν•œ 영ꡭ μ •λΆ€ λΉ„μš© 절감 및 λ…Ήμ§€ μ ‘κ·Όμ„± ν–₯상을 μœ„ν•œ μ‚°λ¦Ό 연ꡬ와 ν™˜κ²½ λͺ¨λ‹ˆν„°λ§.
Anthropic News Responsible Scaling Policy
Anthropic의 Responsible Scaling Policy(RSP) μ£Όμš” μ—…λ°μ΄νŠΈ λ°œν‘œ. ν”„λ‘ ν‹°μ–΄ AI μ‹œμŠ€ν…œμ˜ 잠재적 μž¬μ•™μ  μœ„ν—˜μ„ μ™„ν™”ν•˜κΈ° μœ„ν•œ 리슀크 κ±°λ²„λ„ŒμŠ€ ν”„λ ˆμž„μ›Œν¬.
Meta AI Blog Introducing SAM Audio: The First Unified Multimodal Model for Audio Separation
Meta AIκ°€ μ˜€λ””μ˜€ 뢄리λ₯Ό μœ„ν•œ 졜초의 톡합 λ©€ν‹°λͺ¨λ‹¬ λͺ¨λΈ SAM Audioλ₯Ό μ†Œκ°œν•œλ‹€.
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