Добавить новость
smi24.net
News in English
Декабрь
2025
1 2 3 4 5 6 7 8 9 10 11 12 13 14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31

Новости за 11.12.2025

Watch live: Indiana Senate debates ahead of redistricting vote - IndyStar

Top Stories (us) - Google News (com) 

  1. Watch live: Indiana Senate debates ahead of redistricting vote  IndyStar
  2. Why Indiana Republicans Are Standing Up to Trump  The Atlantic
  3. Redistricting in Indiana was supposed to be a slam dunk. It has proven anything but  NPR
  4. Indiana Senate to vote on Trump-backed congressional map despite GOP resistance  NBC News
  5. As Indiana Senate begins redistricting turn, some Republicans keep mum  Indiana Capital Chronicle

Greene on Epstein files release: 'I'll only believe it when I see it'

TheHill.com 

Rep. Marjorie Taylor Greene (R-Ga.) said that when it comes to the full release of files linked with convicted sex offender Jeffrey Epstein, she’ll “only believe it when” she “sees it.” “Are you confident that the Trump administration will release the full Epstein files?” CBS News’s Nikole Killion asked Greene in a clip posted to...



Wolves got summer transfers 'wrong' - club execs

BBC Sport 

Wolves got their transfer business "wrong" in the summer, says technical director Matt Jackson - while under-fire executive chairman Jeff Shi empathises with protesting fans.

Coinbase Picks Chainlink for $7 Billion Crypto Bridging Project

PYMNTS.com 

Cryptocurrency exchange Coinbase has launched a partnership with platform Chainlink. This collaboration will see Coinbase use Chainlink’s Cross-Chain Interoperability Protocol (CCIP) as the exclusive bridging solution for all Coinbase Wrapped Assets, allowing cross-chain transfers and expansion, the companies said in a news release Thursday (Dec. 11). Those assets, which include cbBTC, cbETH, cbDOGE, cbLTC, cbADA, and cbXRP, have an aggregate […]

Читать дальше...

Enhancing machine-learning interatomic potentials for advanced materials modeling

Phys.org 

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations of interatomic potentials, that are mathematical functions that express the energy of a system of atoms and are an ingredient to simulate and predict the stability and properties of materials. But machine learning by itself is not a magic wand, and many problems remain.





СМИ24.net — правдивые новости, непрерывно 24/7 на русском языке с ежеминутным обновлением *