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๐Ÿ’ป Tech News

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hackernewsdev

The true horror of Edgar Allan Poeโ€™s stories lies in their confessions

The true horror of Edgar Allan Poeโ€™s stories lies in their confessions

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hackernewsdev

GLP-1s are being linked to fewer serious infections, including TB

GLP-1s are being linked to fewer serious infections, including TB

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hackernewsdev

A PCB business card with a batteryless LED, powered by the phone that taps it

A PCB business card with a batteryless LED, powered by the phone that taps it

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threadsreal-estate

์˜ค๋Š˜ ๊ฐ€์žฅ ํ•ซํ•œ ์•„ํŒŒํŠธ๋Š” '๋ชฉ๋™์œค์Šฌ์ž์ด'

์˜ค๋Š˜ ๊ฐ€์žฅ ํ•ซํ•œ ์•„ํŒŒํŠธ๋Š” '๋ชฉ๋™์œค์Šฌ์ž์ด'

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hackernewsai

Xanadu was waiting for agents

Xanadu was waiting for agents

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๐Ÿ“Š Stock

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๐Ÿ‡ฐ๐Ÿ‡ท ํ•œ๊ตญ ์‹œ์žฅ

KOSPI
6,687.21+107.73 (+์ƒ์Šน)
KOSDAQ
813.50+23.29 (+์ƒ์Šน)

๐Ÿ‡บ๐Ÿ‡ธ ๋ฏธ๊ตญ ์‹œ์žฅ

S&P 500
7,747.71+81.11 (+1.06%)
NASDAQ
26,584.06+366.23 (+1.40%)
DOW
53,686.11+624.21 (+1.18%)

๐Ÿ’ฑ ํ™˜์œจ

USD/KRW
1,351.507.00
JPY/KRW
864.136.06
EUR/KRW
1,571.127.93

๐Ÿช™ ์•”ํ˜ธํ™”ํ

BTC
$81,116(โ‚ฉ109,631,989)+4.25%
ETH
$2,526(โ‚ฉ3,413,723)+5.13%

๐Ÿ”ฅ ์ƒ์Šน TOP

1.์„œ์šธ์‹ํ’ˆ์šฐ
5,480+29.86%
2.ํ‚ค๋‹ค๋ฆฌ์ŠคํŠœ๋””์˜ค
7,200+16.50%
3.HDํ˜„๋Œ€
240,500+12.65%
4.๋‘์‚ฐํ“จ์–ผ์…€
43,850+12.44%
5.๋น„๋น„์•ˆ
5,180+11.28%

๐ŸงŠ ํ•˜๋ฝ TOP

1.ํ‚ค์›€ ์ธ๋ฒ„์Šค 2X ๋ฐ˜๋„์ฒดTOP10 ETN
3,320-8.67%
2.N2 ์ธ๋ฒ„์Šค 2X ์ฝ”์Šค๋‹ฅ150 ์„ ๋ฌผ ETN
6,635-8.42%
3.๋Œ€์‹  ์ธ๋ฒ„์Šค 2X ์ฝ”์Šค๋‹ฅ 150 ์„ ๋ฌผ ETN
1,849-8.24%
4.๋ฏธ๋ž˜์—์…‹ ์ธ๋ฒ„์Šค 2X ์ฝ”์Šค๋‹ฅ150 ์„ ๋ฌผ ETN
1,832-8.22%
5.์‚ผ์„ฑ ์ธ๋ฒ„์Šค 2X ์ฝ”์Šค๋‹ฅ150 ์„ ๋ฌผ ETN
1,825-7.92%

๐Ÿ  Real Estate

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๐Ÿ“Š ์‹ค๊ฑฐ๋ž˜ ๋ณ€๋™ (2026-09-04)

โ–ฒ ์ƒ์Šน 532๊ฑดโ–ผ ํ•˜๋ฝ 524๊ฑด

์ƒ์Šน 532๊ฑด / ํ•˜๋ฝ 524๊ฑด

๐Ÿ“ˆ ๊ฒฝ์ œ์ง€ํ‘œ

๊ฒฝ์ œ์ง€ํ‘œ

ํ•œ๊ตญ์€ํ–‰ ๊ธฐ์ค€๊ธˆ๋ฆฌ: 3(+0.00%) / ์ฃผํƒ๋งค๋งค๊ฐ€๊ฒฉ์ง€์ˆ˜(์•„ํŒŒํŠธ): 102.586(+0.41%) / ์ฃผํƒ์ „์„ธ๊ฐ€๊ฒฉ์ง€์ˆ˜(์•„ํŒŒํŠธ): 103.253(+0.45%)

๐Ÿ† ์ธ๊ธฐ ์•„ํŒŒํŠธ ๋žญํ‚น

1.๋ชฉ๋™์œค์Šฌ์ž์ด
2.๋ณ‘์ ์—ญ์•„์ดํŒŒํฌ์บ์Šฌ
3.ํž์Šคํ…Œ์ดํŠธ์˜ํ†ต
4.์ง€์ œ์—ญ๋”์ƒต์„ผํŠธ๋Ÿด์‹œํ‹ฐ
5.๋”์ƒต์—ฌ์ฃผ์—ญ๋”ํผ์ŠคํŠธ
6.์•„ํฌ๋ฉ”๋ฅด๋™ํƒ„(M1-1-2๋ธ”๋ก)
7.ํ™”์„œ์—ญํŒŒํฌํ‘ธ๋ฅด์ง€์˜ค
8.์ƒ๋™์—ญ๋กฏ๋ฐ์บ์Šฌ์‹œ๊ทธ๋‹ˆ์ฒ˜
9.๋™ํƒ„์—ญ์‹œ๋ฒ”์šฐ๋‚จํผ์ŠคํŠธ๋นŒ
10.ํž์Šคํ…Œ์ดํŠธ๋ฉ”๋””์•Œ๋ ˆ

๐Ÿ“ ์ธ๊ธฐ ์ง€์—ญ ๋žญํ‚น

1.์„œ์šธํŠน๋ณ„์‹œ ์–‘์ฒœ๊ตฌ
2.๊ฒฝ๊ธฐ๋„ ํ™”์„ฑ์‹œ
3.๊ฒฝ๊ธฐ๋„ ์ˆ˜์›์‹œ
4.๊ฒฝ๊ธฐ๋„ ํ‰ํƒ์‹œ
5.๊ฒฝ๊ธฐ๋„ ์—ฌ์ฃผ์‹œ
6.๊ฒฝ๊ธฐ๋„ ๋ถ€์ฒœ์‹œ
7.์„œ์šธํŠน๋ณ„์‹œ ์€ํ‰๊ตฌ

๐Ÿข ์ „์›”์„ธ ํ˜„ํ™ฉ

์ „์›”์„ธ ํ˜„ํ™ฉ

์ „์„ธ 291๊ฑด / ์›”์„ธ 334๊ฑด

๐Ÿ™๏ธ ์˜คํ”ผ์Šคํ…”

์˜คํ”ผ์Šคํ…” ๋งค๋งค 80๊ฑด

80๊ฑด ๊ฑฐ๋ž˜

๐Ÿ“ฐ ๋ถ€๋™์‚ฐ ๋‰ด์Šค

"์ปจ์„คํŒ… 3์–ต HUG์— ๋ฌผ์–ด๋ณด์„ธ์š”"
'์ค€์„œ์šธ' ๊ด‘๋ช…, ์žฌ๊ฑด์ถ• ์ž„๋Œ€๋น„์œจ๋„ ์„œ์šธ์ฒ˜๋Ÿผ
'๋‘์‚ฐ์œ„๋ธŒ ๋”์„ผํŠธ๋Ÿด ๋„ํ™”' ์™„ํŒ ๋ถ€์ฒœ ํ›„์†๋‹จ์ง€ ํ›ˆํ’ ์ด์„๊นŒ
๋‘ ๋‹ฌ๋งŒ์— ์ง‘๊ฐ’ 1.7์–ต ๋›ฐ์—ˆ๋‹ค.๋™ํƒ„ ์žก์ž, ๋ณ‘์ ์œผ๋กœ ๋›ด '๋ถˆ๊ธฐ๋‘ฅ'
๊ฐ•๋‚จ-์„œ์ดˆ ์•„ํŒŒํŠธ๊ฐ’ ํ•˜๋ฝํญ ์ปค์ ธ ์„ฑ๋ถ-์ค‘๋ž‘ ๋“ฑ์€ ๊ฐ•์„ธ ์ง€์†
"์ฅ” ๋ˆ ํ•˜๋‚˜๋„ ์—†๋Š”๋ฐ" ์†Œ๋“ ๋†’๋‹จ ์ด์œ ๋กœ.๊ณต๊ณต์ž„๋Œ€๋Š” '๊ทธ๋ฆผ์˜ ๋–ก'
์ •๋น„์‚ฌ์—… '๋Šฅ๋ ฅ์น˜ ๊ฒฝ์Ÿ' ๋‚˜์„  ์ž์น˜๊ตฌ "๊ทœ์ œ 100๊ฐœ ์—†์•ค๋‹ค"
์ž…์ฃผ ๋ฌผ๋Ÿ‰ ๋ฐ˜ํ† ๋ง‰์— ๋Œ€์ถœ ๋ฌธํ„ฑ๊นŒ์ง€ ์„œ์šธ ์ „์›”์„ธ ์‹œ์žฅ '๊ฐ€์„ ๋Œ€๋ž€' ์˜ค๋‚˜
์ „๊ธฐ์ฐจ๊ฐ€ ๋Œ€์„ธ๋ผ๊ธธ๋ž˜, BMW iX3 ํƒ€๋ดค์Šต๋‹ˆ๋‹ค [์šด์ „์„๋ฆฌํฌํŠธ]
"์•„ํŒŒํŠธ ์‚ด ๋ˆ ์—†์œผ๋ฉด์š” ".๋ฌด์ฃผํƒ์ž '์ด๊ฒƒ' ๊ณต๋ถ€ํ•ด์•ผ[์ง‘ ๋‚˜์™€๋ผ ๋š๋”ฑ ]
๊ณต๊ณต์ž„๋Œ€๋„ ๋ถ€๋ชจ์ฐฌ์Šค "๋ณด์ฆ๊ธˆ 14์–ต" ๊ทธ๋Ÿฐ๋ฐ.์ž์‚ฐ 6.6์–ต ๋„˜์œผ๋ฉด ํƒˆ๋ฝ
'14์–ต5000๋งŒ์› 100์–ต์›' ์žญํŒŸ ๋Œ€์„ฑ์ด ์‚ฐ 'ํ•œ๊ฐ•๋ทฐ ์•„ํŒŒํŠธ' ์–ด๋””
์„œ์šธ ์‹ ์ถ•์ธ๋ฐ "๋Œ€์ถœ 70% ๋‚˜์˜ต๋‹ˆ๋‹ค" ์‚ฌ๋žŒ๋“ค ์šฐ๋ฅด๋ฅด ๋ชฐ๋ ธ๋‹ค [ํ˜„์žฅ+]
์„ธ๊ธˆ๊ณผ ๋Œ€์ถœ์ด ๋ฐ”๊พผ ์ˆ˜๋„๊ถŒ ์•„ํŒŒํŠธ '๊ฐ€๊ฒฉ ์ง€๋„' [๋” ๋จธ๋‹ˆ์ด์ŠคํŠธ-์‹ฌํ˜•์„์˜ ๋ถ€๋™์‚ฐ ์ •์„]
์„ธ์ œ๊ฐœํŽธ ํ•œ ๋‹ฌ, ๋„ '์ขŒ๋ถˆ์•ˆ์„' ๋“ฑ๋ก์ž„๋Œ€ ํ˜œํƒ ์ˆ˜์ •๋ก  [์ฝ”์ฃผ๋ถ€]
8ยท3 ์„ธ์ œ๊ฐœํŽธ ํ•œ ๋‹ฌ ๊ฐ•๋‚จ ๊บพ์˜€์ง€๋งŒ ๋น„๊ฐ•๋‚จ์€ ๋” ๋›ฐ์—ˆ๋‹ค [์ง‘์Š๋žญ]
ํ†ตํ•ฉ 17๋…„๋งŒ์— ๋‹ค์‹œ ์ชผ๊ฐœ์ง€๋Š” LH '๊ณต์ ์ฃผํƒ' ๊ณต๊ธ‰ ์†๋„๋‚ผ๊นŒ
LH, ๋‘˜๋กœ ์ชผ๊ฐ ๋‹ค ๊ฐœ๋ฐœยท์ฃผ๊ฑฐ ์—ญํ•  ๋ถ„๋ฆฌ
๊ตญํ† ์œ„์„ฑ 3ยท4ํ˜ธ ๊ฐœ๋ฐœ์‚ฌ์—… ์˜ˆํƒ€ ํ†ต๊ณผ 2030๋…„ ๋ฐœ์‚ฌ ์ถ”์ง„
์‹œ๋‹ˆ์–ด ๋ ˆ์ง€๋˜์Šค, ๋…ธํ›„์˜ ํ’ˆ๊ฒฉ์„ ์™„์„ฑํ•˜๋‹ค
"์„œ์šธ 59ใŽก ๋Œ€์‹  ๋ณ„๋‚ด 84ใŽก" ์•„ํŒŒํŠธ ๊ฑฐ๋ž˜ ๋ฐ˜๋…„ ์ƒˆ 2.3๋ฐฐ
๋“ฑ๋ก์ž„๋Œ€ ์•„ํŒŒํŠธ ์žˆ๋‹ค๋ฉด. ๋‚ด๋…„ ๋ง๊นŒ์ง€ ์•ˆ ํŒ”๋ฉด ๋ฒŒ์–ด์งˆ ์ผ
"์ถ”์ •๊ฐ€์น˜๋งŒ 4710์–ต" ๊ตญํ† ์œ„์„ฑ 3ยท4ํ˜ธ ๊ฐœ๋ฐœ์‚ฌ์—…, ์˜ˆํƒ€ ํ†ต๊ณผ
๊ฑด์ถ•๋ฌผ ์•ˆ์ „๊ด€๋ฆฌ ์—ญ๋Ÿ‰ ๋†’์ธ๋‹ค ๋ถ€๋™์‚ฐ์›, ์ง€์ž์ฒด ๋‹ด๋‹น์ž ๊ต์œก
ํ•œ๊ตญ๋ถ€๋™์‚ฐ์›, ๊ฑด์ถ•๋ฌผ๊ด€๋ฆฌ์ œ๋„ ๊ด€๊ณ„์ž '์—ญ๋Ÿ‰๊ฐ•ํ™” ๊ต์œก' ์‹ค์‹œ
๋ถ€๋™์‚ฐ์›, ๊ฑด์ถ•๋ฌผ ๋ถ€์‹ค์ ๊ฒ€ ์˜ˆ๋ฐฉ ์ง€์ž์ฒด ์‹ค๋ฌด์—ญ๋Ÿ‰ ๋†’์ธ๋‹ค
3129์–ต ๊ตญํ† ์œ„์„ฑ 3ยท4ํ˜ธ ์˜ˆํƒ€ ํ†ต๊ณผ ๊ณต๊ณต์œ„์„ฑ ์ฒซ '๋ฏผ๊ฐ„ ์กฐ๋‹ฌ'
30์–ต ์•„ํŒŒํŠธ 10๋…„ ๋ณด์œ  ๋น„๊ฑฐ์ฃผ์‹œ ์–‘๋„์„ธ 4์–ต๋Œ€
์ฝ”๋ ˆ์ผ ์žํšŒ์‚ฌ 5๊ณณ 3๊ณณ ํ†ตํ•ฉ ์ด๋ฅด๋ฉด ์ด๋‹ฌ ๋ง ์ถœ๋ฒ”
๊ณต์‚ฌ๋น„ ์ƒ์Šนํญ ํ•œํ’€ ๊บพ์˜€๋Š”๋ฐ ์—ฌ์ „ํ•œ ๊ณ ์œ ๊ฐ€, ๋“ฑ ํœ˜๋Š” ๊ฑด์„ค์‚ฌ
"์ˆ˜๋„๊ถŒ ์ž”๋ฅ˜ ์ตœ์†Œํ™”" ๊ธˆ์œต ๊ณต๊ณต๊ธฐ๊ด€ ์ด์ „ ์—ฌ๋ถ€ '์‹œํ—˜๋Œ€'
๊ณต๊ณต์ž„๋Œ€ 1์ฑ„ ์ง€์„๋•Œ๋งˆ๋‹ค LH ๋นš 2.9์–ต
LH ์ชผ๊ฐœ ๊ณต๊ธ‰ ์†๋„ ๋‚ธ๋‹ค๋Š”๋ฐ 173์กฐ ๋ถ€์ฑ„ ๊ฐœ๋ฐœยท์ž์‚ฐ๊ณต์‚ฌ ์–ด๋””๋กœ
"๊ฐ•๋ถ 14ํ‰ ์›”์„ธ๋„ 100๋งŒ์› ์ „์„ธ๋Š” ๋ฉธ์ข…, ๋ถ€๋ฅด๋Š” ๊ฒŒ ๊ฐ’"
์„ธ์ œ๊ฐœํŽธ์•ˆ ๋ฐœํ‘œ ํ•œ ๋‹ฌ ๊ฐ•๋‚จ ๊ฑฐ๋ž˜ ๋š, ์™ธ๊ณฝ ์ง‘๊ฐ’์€ ๊ณ ๊ณตํ–‰์ง„
๋Œ€์„ฑ, 14์–ต5000๋งŒ์›์— ์‚ฐ ํ•œ๊ฐ•๋ทฐ ์•„ํŒŒํŠธ 100์–ต ๋๋‹ค
์žฌ๊ฐœ๋ฐœ ๊ธ‰๋งค, ๊ด€๋ฆฌ์ฒ˜๋ถ„ ์ง์ „์— ๋Š˜์–ด๋‚œ๋‹ค[๋ฐ•์ผ๊ทœ์˜ ์ •๋น„ ์ด์Šˆ ๋ถ„์„]
์„ ๋กœ ์‚ฌ์ด ์ข์€ ๋•…์ด '๋„์ฟ„์˜ ๊ด€๋ฌธ' ๋๋‹ค[๋ถ€๋™์‚ฐ ๋นจ๊ฐ„ํŽœ]
"๋ฌด์ฃผํƒ์ž, ์ž๊ธˆ๋ฒ”์œ„๋‚ด ๋งค์ž…์„ ๊ฒฝ๋งค๋กœ ์•„ํŒŒํŠธ ์ €๊ฐ€๋งค์ˆ˜ ์–ด๋ ค์›Œ"
์••๊ตฌ์ •์‹ ํ˜„๋Œ€ 24์–ต ๋–จ์–ด์งˆ ๋•Œ, ๊ธธ์Œ๋ž˜๋ฏธ์•ˆ์€ 22์–ต ํ˜ธ๊ฐ€
๋ถ€์ฒœ ์›๋ฏธ๊ตฌ ์•„ํŒŒํŠธ๊ฐ’ 39์ฃผ ์—ฐ์† ์ƒ์Šนโ€ฆ์ƒ๋™ยท์ค‘๋™ ์ผ๋Œ€ ์‹ ์ถ• ๊ณต๊ธ‰ ๊ด€์‹ฌ์ด์ฝ”๋…ธ๋ฏธ์ŠคํŠธ
๊ฐ•๋‚จ 3๊ตฌ ์•„ํŒŒํŠธ๊ฐ’ ํž˜ ๋น ์ง€๋Š”๋ฐโ€ฆ์‚ผ์„ฑ ์‚ฌ๋‚ด๋Œ€์ถœ ์—…์€ ์ˆ˜์› ์˜ํ†ต โ€˜๊ป‘์ถฉโ€™์ดํˆฌ๋ฐ์ด
์„œ์šธ ๋นŒ๋ผ๊ฐ’, ๋‘ ๋‹ฌ์งธ ์•„ํŒŒํŠธ๋ณด๋‹ค ๋” ๋›ฐ์—ˆ๋‹คโ€ฆ ๊ฑฐ๋ž˜์•ก๋„ 5์กฐ์› ์œก๋ฐ• - ์กฐ์„ ๋น„์ฆˆChosunbiz
"๋ถ€๋™์‚ฐ ์žก๋Š”๋‹ค"๋”๋‹ˆ...์ด์žฌ๋ช… ์ •๋ถ€, ์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’ 14.7% '์—ญ๋Œ€ ์ตœ๊ณ ' ์ƒ์Šนv.daum.net
์„œ์šธ/๊ฒฝ๊ธฐ ์•„ํŒŒํŠธ๊ฐ’ ์ƒ์Šน์„ธ ์ฃผ์ถคโ€ฆ ๊ฐ•๋‚จ์€ ๊ฒฐ๊ตญ ํ•˜๋ฝ ์ „ํ™˜KB Think
์•„ํŒŒํŠธ๊ฐ’ ๋œ€๋ฐ•์งˆ์—โ€ฆ์„œ์šธ ๋นŒ๋ผ ๊ฑฐ๋ž˜ 1์œ„ ๋™๋„ค๋„ '๋งค๋ฌผ ๊ฐ€๋ญ„'[๋ถ€๋™์‚ฐAtoZ]์•„์‹œ์•„๊ฒฝ์ œ
[8์›” 4์ฃผ] ๋Œ€์ „ ์•„ํŒŒํŠธ๊ฐ’ ์ƒ์Šน...์„ธ์ข…ยท์ถฉ๋‚จ์€ ๋ณดํ•ฉ์ถฉ๋‚จ์ผ๋ณด
[์ฃผ๊ฐ„๋ถ€๋™์‚ฐ์‹œํ™ฉ] ์ „๊ตญ ์•„ํŒŒํŠธ๊ฐ’ 0.12%โ†‘โ€ฆ8ยท13 ๋Œ€์ฑ… ํšจ๊ณผ โ€˜์ฃผ๋ชฉโ€™dailian.co.kr
6์›” ์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’ ํ•œ๋‹ฌ์ƒˆ 2.5% ์ƒ์Šนโ€ฆ5๋…„ ๋งŒ์— ์ตœ๋Œ€ํญ๋‰ด์Šค1
ํ•œ๊ตญ๋ถ€๋™์‚ฐ์›, ์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’ 1.09% ์ƒ์Šนโ€ฆ๊ฐ•๋ถยท๊ฐ•๋‚จ ๋ชจ๋‘ ์˜ค๋ฆ„์„ธgukjenews.com
"1์–ต ๋›ฐ์—ˆ๋‹ค" ์ค„์ค„์ด ์‹ ๊ณ ๊ฐ€ ํญ๋ฐœโ€ฆ์„œ์šธ ์™ธ๊ณฝ ์•„ํŒŒํŠธ '๋Œ€๋ฐ˜์ „'ํ•œ๊ตญ๊ฒฝ์ œ
์•„ํŒŒํŠธ ์‹œ์„ธยท๋Œ€์ถœ๋ถ€ํ„ฐ ๊ฒฝ์ œ์ง€ํ‘œ๊นŒ์ง€โ€ฆ๋„ค์ด๋ฒ„, ๊ธˆ์œต ๊ฒ€์ƒ‰ ๊ณ ๋„ํ™”์—ฐํ•ฉ๋‰ด์Šค
์—ญ์„ธ๊ถŒยท๋Œ€๋‹จ์ง€ ์œ„์ฃผ๋กœ ์˜ฌ๋ž๋‹คโ€ฆ ์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’ 0.3% ์ƒ์Šนarunews.com
๊ฐ•๋‚จยท์„œ์ดˆ ์•„ํŒŒํŠธ ๊ฐ’, 2์ฃผ์งธ ํ•˜๋ฝ์„ธ ์ด์–ด์ ธ์กฐ์„ ์ผ๋ณด
GTX๋„ ์žฌ๊ฑด์ถ•๋„ ์ธํ”„๋ผ๋„ ๋‹ค ์žˆ๋Š”๋ฐโ€ฆ์ผ์‚ฐ ์ง‘๊ฐ’์€ ์™œ ๊ณ„์† ๋–จ์–ด์งˆ๊นŒKB Think

๐Ÿ—๏ธ ๋ถ„์–‘์ผ์ •

์ธ์ฒœ๊ณ„์–‘์ง€๊ตฌ A6๋ธ”๋ก ๊ณต๊ณต๋ถ„์–‘์ฃผํƒ(๋ณธ์ฒญ์•ฝ)
์˜์ •๋ถ€์šฐ์ • A2๋ธ”๋ก ๊ณต๊ณต๋ถ„์–‘์ฃผํƒ(๋ณธ์ฒญ์•ฝ)
๋”์ƒต ์—ฌ์ฃผ์—ญ๋”ํผ์ŠคํŠธ
์˜ฌ ๋‰ด ์ฑ”ํ”ผ์–ธ์Šค์‹œํ‹ฐ 1์ฐจ
๊ฒ€์•”์—ญ ํ‘ธ๋ฅด์ง€์˜ค ํ”„๋ผ๋ฒ ๋‰ด (B-1BL) ๊ณต๊ณต๋ถ„์–‘์ฃผํƒ
์–‘์ฃผํšŒ์ฒœ์ง€๊ตฌ A-26๋ธ”๋ก ๊ณต๊ณต๋ถ„์–‘์ฃผํƒ
๋ฌธ์ˆ˜๋ฐ์‹œ์•™2๋‹จ์ง€ ๊ณต๊ฐ€์„ธ๋Œ€ ์ผ๋ฐ˜๊ณต๊ธ‰
๋ธŒ๋ผ์šด์Šคํ†ค ์›”๊ณก ์„ผํŠธ๋Ÿด
๋Œ€์ „ ๊ฒฝ๋‚จ์•„๋„ˆ์Šค๋นŒ ์„ผํ…€์Šค์นด์ด
๊ทธ๋ž‘๋ผํฌ ์—์ผ๋ฆฐ์˜ ๋œฐ

๐Ÿค– AI Agent

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semantic_scholarresearch

DIASENTINEL: An Auditable Multi-Agent System for Guideline-Grounded Diabetes Risk Screening

LLM ๋‹ค์ค‘์—์ด์ „ํŠธ๋กœ ์˜๋ฃŒ์ง€์นจ ์ค€์ˆ˜ ๋‹น๋‡จ๋ณ‘ ์œ„ํ—˜ ์ง„๋‹จ ๋ณด๊ณ ์„œ ์ž๋™ ์ƒ์„ฑ

semantic_scholarresearch

HiRS-Agent: A Hierarchical Multi-Agent System for Reliable Long-Horizon Remote Sensing Task Solving

๊ณ„์ธต์  ๋‹ค์ค‘์—์ด์ „ํŠธ๋กœ ๋ณต์žกํ•œ ์›๊ฒฉํƒ์‚ฌ ์ž‘์—…์˜ ์•ˆ์ •์„ฑ ๋ฐ ์˜ค๋ฅ˜ ์ „ํŒŒ ๊ฐ์†Œ

semantic_scholarresearch

Memory-First Fact-Checking: A Knowledge-Graph-Grounded Multi-Agent System for Misinformation Detection

์ง€์‹๊ทธ๋ž˜ํ”„์™€ ๋‹ค์ค‘์—์ด์ „ํŠธ ์ถ”๋ก ์œผ๋กœ ์„ค๋ช… ๊ฐ€๋Šฅํ•œ ํ—ˆ์œ„์ •๋ณด ํƒ์ง€

semantic_scholarresearch

Tariff Threats, Macroeconomic Expectations, and Policy Communication Strategies: Experiments Based on a Multi-Agent System

๊ฐ€๊ตฌ๋ฅผ LLM ์—์ด์ „ํŠธ๋กœ ๋ชจ์˜ํ•˜์—ฌ ๊ด€์„ธ ์ •์ฑ…์˜ ์˜ํ–ฅ์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜

hackernewsresearch

Xanadu was waiting for agents

์—์ด์ „ํŠธ ๊ธฐ์ˆ ์ด ํฌ์„ธ๋‚˜๋‘์˜ ์„ ๊ตฌ์  ๋น„์ „ ์‹คํ˜„์— ํ•„์ˆ˜์ ์ž„์„ ์ œ์‹œ

๐Ÿ”“ Open Source

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github-trendingAI

skills

์ง„์ •ํ•œ ์—”์ง€๋‹ˆ์–ด๋ฅผ ์œ„ํ•œ ์Šคํ‚ฌ. ๋‚ด .agents ๋””๋ ‰ํ† ๋ฆฌ์—์„œ ์ง์ ‘ ๊ฐ€์ ธ์˜จ.

github-trendingAI

ponytail

๋‹น์‹ ์˜ AI agent๋ฅผ ํŒ€์˜ ๊ฐ€์žฅ ๊ฒŒ์œผ๋ฅธ ์‹œ๋‹ˆ์–ด ๊ฐœ๋ฐœ์ž์ฒ˜๋Ÿผ ์ƒ๊ฐํ•˜๊ฒŒ ๋งŒ๋“ญ๋‹ˆ๋‹ค. ์ตœ๊ณ ์˜ ์ฝ”๋“œ๋Š” ๋‹น์‹ ์ด ์ž‘์„ฑํ•˜์ง€ ์•Š์€ ์ฝ”๋“œ์ž…๋‹ˆ๋‹ค.

github-trendingAI

skills

Agent Skills๋ฅผ ์œ„ํ•œ ๊ณต๊ฐœ ๋ ˆํฌ์ง€ํ† ๋ฆฌ

github-trendingOther

caveman

๐Ÿชจ ๋งŽ์€ token์„ ์“ธ ์ด์œ ๊ฐ€ ์žˆ์„๊นŒ, ์ ์€ token์ด๋ฉด ์ถฉ๋ถ„ํ•œ๋ฐ โ€” ๋™๊ตด์ธ์ฒ˜๋Ÿผ ๋งํ•ด์„œ token 65%๋ฅผ ์ ˆ๊ฐํ•˜๋Š” Claude Code skill

github-trendingAI

humanizer

ํ…์ŠคํŠธ์—์„œ AI ์ƒ์„ฑ ๊ธ€์“ฐ๊ธฐ ํ”์ ์„ ์ œ๊ฑฐํ•˜๋Š” Agent skill