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๐Ÿ’ป Tech News

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hackernewsdev

To My Students

To My Students

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hackernewsdev

Spanish archaeologists discover trove of ancient shipwrecks in Bay of Gibraltar

Spanish archaeologists discover trove of ancient shipwrecks in Bay of Gibraltar

2
hackernewsdev

Easyduino: Open Source PCB Devboards for KiCad

Easyduino: Open Source PCB Devboards for KiCad

2
hackernewsdev

The quiet resurgence of RF engineering

The quiet resurgence of RF engineering

2
hackernewsdev

Three men are facing charges in Toronto SMS Blaster arrests

Three men are facing charges in Toronto SMS Blaster arrests

2

๐Ÿ“Š Stock

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๐Ÿ‡ฐ๐Ÿ‡ท ํ•œ๊ตญ ์‹œ์žฅ

KOSPI
6,641.02+25.99 (+์ƒ์Šน)
KOSDAQ
1,215.58+10.60 (+์ƒ์Šน)

๐Ÿ‡บ๐Ÿ‡ธ ๋ฏธ๊ตญ ์‹œ์žฅ

S&P 500
7,173.91+8.83 (+0.12%)
NASDAQ
24,887.10+50.50 (+0.20%)
DOW
49,167.79-62.92 (-0.13%)

๐Ÿ’ฑ ํ™˜์œจ

USD/KRW
1,473.301.70
JPY/KRW
923.551.68
EUR/KRW
1,723.984.94

๐Ÿช™ ์•”ํ˜ธํ™”ํ

BTC
$76,827(โ‚ฉ113,163,385)-1.27%
ETH
$2,286(โ‚ฉ3,367,766)-1.43%

๐Ÿ”ฅ ์ƒ์Šน TOP

1.์•Œ๋ฃจ์ฝ”
3,445+30.00%
2.์†ก์›์‚ฐ์—…
14,560+30.00%
3.๋ฌธ๋ฐฐ์ฒ ๊ฐ•
3,185+30.00%
4.์•„์ฃผ์Šคํ‹ธ
4,450+29.93%
5.๋„ฅ์Šคํ‹ธ
21,600+29.89%

๐ŸงŠ ํ•˜๋ฝ TOP

1.ํ•œ๊ตญANKOR์œ ์ „
58-29.27%
2.๊ด‘์ „์ž
10,580-9.96%
3.๋ถ€๊ด‘์•ฝํ’ˆ
6,680-8.49%
4.ํ•œํ™”๊ฐค๋Ÿฌ๋ฆฌ์•„
3,185-8.48%
5.์ƒ์ƒ์ธ์ฆ๊ถŒ
1,388-8.38%

๐Ÿ  Real Estate

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๐Ÿค– ์ง€์ˆ˜๋Š” ์˜ค๋ฅด๊ณ  ๊ธ‰๋งค๋Š” ์Ÿ์•„์ง€๋Š” ํ˜ผ์กฐ ์žฅ์„ธ

๋งค๋งคยท์ „์„ธ ๊ฐ€๊ฒฉ์ง€์ˆ˜๋Š” ๊ฐ๊ฐ +0.44%, +0.43% ์ƒ์Šนํ•˜๋ฉฐ ํšŒ๋ณต ์‹ ํ˜ธ๋ฅผ ๋ณด์ด๊ณ  ์žˆ์œผ๋‚˜, ์‹œ์„ธ ๋Œ€๋น„ 24~32% ํ• ์ธ๋œ ๊ธ‰๋งค 5๊ฑด์ด ๋™์‹œ์— ํฌ์ฐฉ๋˜์–ด ์ง€์—ญยท๋‹จ์ง€ ๊ฐ„ ์˜จ๋„์ฐจ๊ฐ€ ๋šœ๋ ทํ•˜๋‹ค. ๊ฐ•๋‚จ๊ตฌ๋Š” 2๊ฐœ์›” ์—ฐ์† ํ•˜๋ฝ์„ธ์ธ ๋ฐ˜๋ฉด ๊ฐ•๋ถ ๊ตญํ‰์€ ์‚ฌ์ƒ ์ฒซ 12์–ต ์›์„ ๋ŒํŒŒํ•˜๋Š” ๋“ฑ ์„œ์šธ ๋‚ด ์–‘๊ทนํ™”๊ฐ€ ์‹ฌํ™”๋˜๊ณ  ์žˆ๋‹ค. ๊ธฐ์ค€๊ธˆ๋ฆฌ๋Š” 2.50%๋กœ ๋™๊ฒฐ๋œ ๊ฐ€์šด๋ฐ ๊ฐ€๊ณ„๋Œ€์ถœ ์ž”์•ก์ด ์†Œํญ(+0.28%) ์ฆ๊ฐ€ํ•ด ์ˆ˜์š” ์ธก ์••๋ ฅ์€ ์‚ด์•„์žˆ๋Š” ์ƒํƒœ๋‹ค.

๐Ÿ“Š ์‹ค๊ฑฐ๋ž˜ ๋ณ€๋™ (2026-04-27)

โ–ฒ ์ƒ์Šน 42๊ฑดโ–ผ ํ•˜๋ฝ 36๊ฑด

์ƒ์Šน 42๊ฑด / ํ•˜๋ฝ 36๊ฑด

๐Ÿ“ˆ ๊ฒฝ์ œ์ง€ํ‘œ

๊ฒฝ์ œ์ง€ํ‘œ

ํ•œ๊ตญ์€ํ–‰ ๊ธฐ์ค€๊ธˆ๋ฆฌ: 2.5(+0.00%) / ์ฃผํƒ๋งค๋งค๊ฐ€๊ฒฉ์ง€์ˆ˜(์•„ํŒŒํŠธ): 100.843(+0.44%) / ์ฃผํƒ์ „์„ธ๊ฐ€๊ฒฉ์ง€์ˆ˜(์•„ํŒŒํŠธ): 100.807(+0.43%)

๐Ÿ† ์ธ๊ธฐ ์•„ํŒŒํŠธ ๋žญํ‚น

1.๊ณต๋•์—ญ์ž์ด๋ฅด๋„ค
2.์˜ฅ์ •์ค‘์•™์—ญ๋Œ€๋ฐฉ๋””์—ํŠธ๋ฅด
3.eํŽธํ•œ์„ธ์ƒ๋ถ€์ฒœ์–ด๋ฐ˜์Šคํ€˜์–ด
4.์จ๋ฐ‹๋”ํž
5.๋™ํƒ„๊ทธ์›ฌ160
6.๊ฒฝ๊ธฐ๊ด‘์ฃผ์—ญ๋กฏ๋ฐ์บ์Šฌ์‹œ๊ทธ๋‹ˆ์ฒ˜1๋‹จ์ง€
7.ํ—ฌ๋ฆฌ์˜ค์‹œํ‹ฐ
8.๋™ํƒ„์—ญ๋กฏ๋ฐ์บ์Šฌ
9.๋ผํด๋ผ์ฒด์ž์ด๋“œํŒŒ์ธ
10.์•„ํฌ๋กœ๋ฆฌ๋ฒ„์Šค์นด์ด

๐Ÿ“ ์ธ๊ธฐ ์ง€์—ญ ๋žญํ‚น

1.์„œ์šธํŠน๋ณ„์‹œ ๋งˆํฌ๊ตฌ
2.๊ฒฝ๊ธฐ๋„ ์–‘์ฃผ์‹œ
3.๊ฒฝ๊ธฐ๋„ ๋ถ€์ฒœ์‹œ
4.์„œ์šธํŠน๋ณ„์‹œ ๋™์ž‘๊ตฌ
5.๊ฒฝ๊ธฐ๋„ ํ™”์„ฑ์‹œ
6.๊ฒฝ๊ธฐ๋„ ๊ด‘์ฃผ์‹œ
7.์„œ์šธํŠน๋ณ„์‹œ ์†กํŒŒ๊ตฌ

๐Ÿข ์ „์›”์„ธ ํ˜„ํ™ฉ

์ „์›”์„ธ ํ˜„ํ™ฉ

์ „์„ธ 818๊ฑด / ์›”์„ธ 711๊ฑด

๐Ÿ™๏ธ ์˜คํ”ผ์Šคํ…”

์˜คํ”ผ์Šคํ…” ๋งค๋งค 138๊ฑด

138๊ฑด ๊ฑฐ๋ž˜

๐Ÿ“ฐ ๋ถ€๋™์‚ฐ ๋‰ด์Šค

"๋น ๋ฅด๋‹ค๋”๋‹ˆ" '10๋…„์งธ ํ—›๋ฐ”ํ€ด' ์†Œ๊ทœ๋ชจ ์žฌ๊ฑด์ถ•
์„œ์šธ ๋นŒ๋ผ ์ „์…‹๊ฐ’, ์ „์„ธ์‚ฌ๊ธฐ ์ด์ „ ์ˆ˜์ค€ ํšŒ๋ณต 3๋…„์—ฌ ๋งŒ์— ์ตœ๊ณ 
"๋ถ€๋™์‚ฐ์€ ์žฌ์ •๋‹น๊ตญ ๋ชซ " ์„ธ์ œยท๋Œ€์ถœ๋งŒ ์žˆ๊ณ  ์ฃผํƒ๊ณต๊ธ‰ ๋…ผ์˜ ์‹ค์ข…
"์„œ์šธํ˜• ์‹œ๋‹ˆ์–ด์ฃผํƒ, 2035๋…„๊นŒ์ง€ 1.2๋งŒ๊ฐ€๊ตฌ ๊ณต๊ธ‰"
์›จ๋”ฉ์ดฌ์˜๊นŒ์ง€ ๋“ฑ์žฅ ์•ˆ์ „ ๋’ท์ „ ๋œ ์ฒ ๋„ ๊ฑด๋„๋ชฉ ์‹คํƒœ[์งค๋ง‰์˜์ƒ]
5์›” ์ˆ˜๋„๊ถŒ์— 1๋งŒ4330๊ฐ€๊ตฌ ๊ณต๊ธ‰ ํ‘์„ยท์žฅ์œ„ ๋Œ€๋‹จ์ง€ ๋ถ„์–‘
ํ•œ๊ฐ•๋ฒจํŠธ ๋งค๋ฌผ 10๊ฑด ์ค‘ 3.7๊ฑด ํŒ”๋ ค ๊ฐ•๋‚จ๊ถŒ์€ ๋Œ€์ถœ ๊ทœ์ œ๋กœ 1.7๊ฑด ๊ทธ์ณ
์žฅํŠน๊ณต ์ถ•์†Œ๋ ๋ผ ์ง€๋‚œ๋‹ฌ ์žฅ๊ธฐ๋ณด์œ ์ž ๋งค๋„ ์—ญ๋Œ€ ์ตœ๋Œ€
๊ฐ•์› ์•„ํŒŒํŠธ๊ฐ’ 2021๋…„ ๊ณ ์  ๋„˜์—ˆ๋‹ค ํšŒ๋ณต๋ฅ  ์ „๊ตญ 2์œ„
์„œ์šธ ์ง‘ ์‚ฐ 30๋Œ€ ์ ˆ๋ฐ˜ ๋ถ€๋ชจ ๋ˆ '๋ฐฐ๊ฒฝ' ์˜ํ–ฅ ์ปค์กŒ๋‹ค
KB์‹œ์„ธ๋กœ ์„œ์šธ ๊ฐ•๋‚จ๊ตฌ ์•„ํŒŒํŠธ๊ฐ’ 2๊ฐœ์›”์งธ ํ•˜๋ฝโ€ฆ์ด๋‹ฌ ๋‚™ํญ ํ™•๋Œ€ํ•œ๊ตญ๋ถ€๋™์‚ฐ๋‰ด์Šค
๋‹ค์‹œ ๊ณ ๊ฐœ ๋“  ์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’โ€ฆ์ „์…‹๊ฐ’ ์ƒ์Šน์„ธ ๋งค๋งค๊ฐ€๋กœ ์ „์ด๋ ๊นŒ |์—ฐํ•ฉ์ธํฌ๋งฅ์Šค
๊ฐ•๋‚จ๊ตฌ๋งŒ ๋‚ด๋ฆฐ ์ง‘๊ฐ’โ€ฆ๊ฐ•๋ถ ๊ตญํ‰ ์‚ฌ์ƒ ์ฒซ 12์–ต ๋ŒํŒŒ [๋ถ€๋™์‚ฐ360]ํ—ค๋Ÿด๋“œ๊ฒฝ์ œ
[์ฃผ๊ฐ„๋ถ€๋™์‚ฐ์‹œํ™ฉ] ๋ƒ‰์˜จํƒ• ์˜ค๊ฐ€๋Š” ๋ถ€๋™์‚ฐ ์‹œ์žฅโ€ฆ์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’ 0.17%โ†‘๋ฐ์ผ๋ฆฌ์•ˆ
์•„ํŒŒํŠธ ํ•œ ์ฑ„๊ฐ€ 1540์–ต์›โ€ฆ์ƒ์ƒ์ดˆ์›” ์ง‘๊ฐ’ ํ™์ฝฉ์˜ ์‹ค์ฒด๋•…์ง‘๊ณ 
KB๋ถ€๋™์‚ฐ "์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’ ์ƒ์Šนํญ ๋‹ค์‹œ ์ปค์ ธ"๋‰ด์‹œ์Šค
โ€˜๋ฐ˜๊ฐ’ ์ „์„ธยท70% ์•„ํŒŒํŠธ?โ€™ ํ™”๋งŒ ๋‹๋Š”๋‹ค!โ€ฆ์—ฌ์•ผ, ์„ ์‹ฌ์„ฑ ๋ถ€๋™์‚ฐ ๊ณต์•ฝ๋ฌธํ™”์ผ๋ณด
๋ถ€๋™์‚ฐ ์‹œ์„ธ ์กฐํšŒ ๋ฐฉ๋ฒ• ์ข…๋ฅ˜ ๋ฐ ์‚ฌ์ดํŠธ ์ด์ •๋ฆฌ๋ธŒ๋Ÿฐ์น˜
๋ถ€๋™์‚ฐ ์ „๋งใ€‰๊ด‘์ฃผ ์•„ํŒŒํŠธ ์ฃผ๊ฐ„ ์‹œ์„ธ์ •๋ณดv.daum.net
์ƒ์Šน? ๋‘”ํ™”? ์ง‘๊ฐ’ ์ฃผ๊ฐ„ ํ†ต๊ณ„ ์ œ๊ฐ๊ฐโ€ฆ์‹ค์ˆ˜์š”์ž ํ˜ผ๋ž€๋งŒ ํ‚ค์›Œํ•œ๊ตญ๊ฒฝ์ œ
[์‚ฌ์„ค] ์•„์ง ๋ถˆ์•ˆํ•œ ์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’, ๋ถ€๋™์‚ฐ ๋Œ€์ฑ… ๋ฐฉ์‹ฌ ๋ง์•„์•ผํ•œ๊ฒจ๋ ˆ
์„ค๋‚  ์—ฐํœด๋กœ ์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’ ์ฃผ์ถคโ€ฆ ๊ทธ๋ž˜๋„ ์ƒ์Šน์„ธ ์œ ์ง€ํ•œ๊ตญ์ฃผํƒ๊ฒฝ์ œ์‹ ๋ฌธ
[์†๋ณด] ์ด ๋Œ€ํ†ต๋ น, ๋ถ„๋‹น ์•„ํŒŒํŠธ ์‹œ์„ธ๋ณด๋‹ค ์ €๋ ดํ•œ 29์–ต์— ๋‚ด๋†”โ€ฆ์ฒญ์™€๋Œ€ โ€œ๋ถ€๋™์‚ฐ ์ •์ƒํ™” ์˜์ง€โ€๊ฒฝํ–ฅ์‹ ๋ฌธ
์„œ์šธ์€ โ€˜์ˆจ๊ณ ๋ฅด๊ธฐโ€™ ๊ฒฝ๊ธฐยท์ธ์ฒœ์€ โ€˜๋ถˆ์žฅโ€™โ€ฆ๋ถ„๋‹นยท๊ด‘๋ช… ์•„ํŒŒํŠธ๊ฐ’ 1%๋Œ€ ๊ธ‰๋“ฑ๊ฒฝ๊ธฐ์ผ๋ณด
๊ฐ•๋‚จ ์ง‘๊ฐ’์€ ๋‚ด๋ ธ๋Š”๋ฐโ€ฆ์„œ์šธ ์ค‘์œ„ ์ „์„ธ๊ฐ€๋Š” 3๋…„ 7๊ฐœ์›” ๋งŒ์— 6์–ต์› ์žฌ๋ŒํŒŒ [๋ถ€๋™์‚ฐ360]ํ—ค๋Ÿด๋“œ๊ฒฝ์ œ

๐Ÿ—๏ธ ๋ถ„์–‘์ผ์ •

ํŒŒ์ฃผ๊ธˆ์ดŒ ๊ธˆํ˜ธ์–ด์šธ๋ฆผ(์กฐํ•ฉ์› ์ทจ์†Œ๋ถ„)
๊ธฐ์žฅ ์ด์ง„์บ์Šค๋นŒ ํฌ๋ ˆ
์ฒœ์•ˆ ํœด๋จผ๋นŒ ํผ์ŠคํŠธ์‹œํ‹ฐ(2ํšŒ์ฐจ)
์ฒœ์•ˆ ๋™๋ฌธ ๋”” ์ด์ŠคํŠธ ํŒŒํฌ์‹œํ‹ฐ
์†Œ์ œ์ง€๊ตฌ A4BL ์ค‘ํฅS-ํด๋ž˜์Šค ์šฐ๋ฏธ๋ฆฐ
์†Œ์ œ์ง€๊ตฌ A3BL ์ค‘ํฅS-ํด๋ž˜์Šค ์šฐ๋ฏธ๋ฆฐ
๋”์ƒต ๊ด€์ €์•„๋ฅดํ…Œ
์šธ์‚ฐ์‹ ๋ณต์—ญ ๋น„์Šคํƒ€ ๋ฉ”ํŠธ๋กœ
๋” ๋ฆฌ์น˜๋จผ๋“œ ๋ฏธ์•„
๋”์ƒต ์‹œ์—๋ฅด๋„ค(์กฐํ•ฉ์› ์ทจ์†Œ๋ถ„)

๐Ÿค– AI Agent

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semantic_scholarresearch

Secure autonomous cyber defense with LLM agents: A systematic review of autonomy, tool-augmented reasoning, and governance constraints

LLM ์—์ด์ „ํŠธ ๊ธฐ๋ฐ˜ ์‚ฌ์ด๋ฒ„ ๋ฐฉ์–ด์˜ ์ž์œจ์„ฑยท๋„๊ตฌ ํ™œ์šฉยท๊ฑฐ๋ฒ„๋„Œ์Šค ์ฒด๊ณ„์  ๊ฒ€ํ† 

semantic_scholarresearch

R2IF: Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function Calling

LLM ํ•จ์ˆ˜ ํ˜ธ์ถœ ์‹œ ์ถ”๋ก ๊ณผ ๊ฒฐ์ • ์ •๋ ฌ์„ ์œ„ํ•œ ๋ณตํ•ฉ ๋ณด์ƒ RL ํ”„๋ ˆ์ž„์›Œํฌ

blog_openairesearch

An open-source spec for orchestration: Symphony

์ด์Šˆ ํŠธ๋ž˜์ปค ๊ธฐ๋ฐ˜ ํ•ญ์ƒ ํ™œ์„ฑํ™”๋œ ์—์ด์ „ํŠธ ์‹œ์Šคํ…œ ๊ตฌ์ถ• ์˜ค์ผ€์ŠคํŠธ๋ ˆ์ด์…˜ ์ŠคํŽ™

semantic_scholarresearch

FeatEHR-LLM: Leveraging Large Language Models for Feature Engineering in Electronic Health Records

LLM์œผ๋กœ ์˜๋ฃŒ ๊ธฐ๋ก์˜ ์ž„์ƒ ์˜๋ฏธ์žˆ๋Š” ํŠน์„ฑ ์—”์ง€๋‹ˆ์–ด๋ง ์ž๋™ํ™”

semantic_scholarresearch

Time Series Augmented Generation for Financial Applications

๊ธˆ์œต ์‹œ๊ณ„์—ด ๋ถ„์„์„ ์œ„ํ•œ LLM ์—์ด์ „ํŠธ ์ถ”๋ก  ๋Šฅ๋ ฅ ํ‰๊ฐ€ ๋ฐฉ๋ฒ•๋ก 

๐Ÿ”“ Open Source

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awesome-codex-skills

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