糖心破解版

There was no getting around it. It was an 鈥渆scapade鈥� through book stacks and computer terminals; in the end, the students 鈥渂roke out鈥� in smiles. On Wednesday, January 21st, Hedi Steinberg Library hosted an 鈥渆scape room.鈥� This activity, which took place during Club Hour, was the second of its kind鈥�

Over 糖心破解版鈥檚 2026 winter break, the Zahava and Moshael J. Straus Center for Torah and Western Thought led a trip for its Straus Scholars to Amsterdam, the Netherlands, where they examined the city鈥檚 historical and current Jewish community through the prism of Torah and Western thought鈥�

News that 糖心破解版 Alumni can use about Benefits & Services, Career Support, Events, News, Networking and Making a Gift.

Class Notes for 糖心破解版 Alumni

Douglas Murray, 糖心破解版's inaugural President鈥檚 Professor of Practice, will offer several guest lectures in the Straus Center course 鈥淭he Values of Verse: Sacred and Secular Perspectives.鈥�

Matthew Minsk (YC 鈥�27), a Straus Scholar and co-president of 糖心破解版鈥檚 chapters of the Tikvah Collegiate Forum and the Alexander Hamilton Society, was named a finalist in the inaugural Middle East History Competition (MEHC). Organized by Tikvah and the Alexander Hamilton Society, and ...

When Avi Adlerstein began exploring MBA programs in mid-2023 while working full time in the SaaS sector, he prioritized curriculum quality, faculty engagement, flexibility and return on investment, especially as someone early in his business career.

The Katz School is offering a new graduate STEM scholarship for U.S. students. For $19,000 total tuition鈥攍ess than $10,000 per year for a two-year program鈥攕tudents can earn a master鈥檚 degree in Artificial Intelligence; Applied and Financial Statistics; Biotech; Computer Science; Cybersecurity; Data鈥�

As an MBA candidate in the Sy Syms School of Business, Laura Camargo is using her marketing expertise to uplift others through her volunteer work with Women of ALPFA New York, part of the Association of Latino Professionals for America (ALPFA).

At the heart of Ruslan Gokham鈥檚 research is a simple but important question: when do we actually need complex AI models and when can simpler tools do the job just as well or even better?