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‘A potent combination’ – W&M News
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June 19, 2026June 19, 2026AI

‘A potent combination’ – W&M News

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(Illustration by Yann Sadi)The following excerpt is from a story that originally appeared in the fall 2025 issue of the W&M Alumni Magazine. – Ed.Artificial intelligence is swiftly reshaping how people worldwide live, learn, work and solve problems. Greater efficiency in business and government, faster service for customers, advancements in medical treatment and accelerated research...

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June 19, 2026June 19, 2026AI

Naval Postgraduate School Alumnus Delivers AI-Driven Logistics Advantage to U.S. Marine Corps – The National Law Review

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45 New Articles U.S. Marine Corps Maj. Nickolas Mohr, command data analytics and artificial intelligence officer, is pictured in his office at 2nd Marine Logistics Group (2nd MLG), Marine Corps Base Camp Lejeune, North Carolina.U.S. Marine Corps Maj. Nickolas Mohr is congratulated by U.S. Navy Rear Adm. Michael S. Mattis during graduation from NPS, Mohr...

More than half of new articles on the internet are being written by AI – is human writing headed for extinction? – Binghamton University
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June 19, 2026June 19, 2026AI

More than half of new articles on the internet are being written by AI – is human writing headed for extinction? – Binghamton University

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This article was written by Digital and Data Studies Lecturer Francesco Agniellini, and originally published by The Conversation, an independent, nonprofit publisher of commentary and analysis, authored by academics and edited by journalists for the general public. The line between human and machine authorship is blurring, particularly as it’s become increasingly difficult to tell whether...

Liquid AI Introduces LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M: Dense Bi-Encoder and Late-Interaction Models for Fast Multilingual Search Across 11 Languages – MarkTechPost
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June 19, 2026June 19, 2026AI

Liquid AI Introduces LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M: Dense Bi-Encoder and Late-Interaction Models for Fast Multilingual Search Across 11 Languages – MarkTechPost

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This week, Liquid AI released two new retrieval models. They are LFM2.5-ColBERT-350M and LFM2.5-Embedding-350M. Both hold 350M parameters. Both are the first bidirectional members of the LFM family. They build on LFM2.5-350M-Base, released in March. The pair targets fast multilingual and cross-lingual search across 11 languages. Their footprint is small enough to run almost anywhere....