Unlike the case for text--wherein every document written in a given language shares a basic lexicon for tokenization--there is no one-to-one correspondence between neurons in different individuals.

Two important things happened on January 20, 2025. In Washington, D.C., Donald Trump was inaugurated as President of the United States. In Hangzhou, China, a little-known Chinese firm called DeepSeek released R1, an AI model that industry watchers called a "Sputnik moment" for the country's AI industry. "Whether we like it or not, we're suddenly engaged in a fast-paced competition to build and define this groundbreaking technology that will determine so much about the future of civilization," said Trump later that year, as he announced his administration's AI action plan, which was titled "Winning the Race." There are many interpretations of what AI companies and their governments are racing towards, says AI policy researcher Lennart Heim: to deploy AI systems in the economy, to build robots, to create human-like artificial general intelligence.

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A Proposed Federal THC Ban Would'Wipe Out' Hemp Products That Get People High The provision, tucked into the spending bill that could end the US government shutdown, would ban intoxicating hemp-derived THC products, including gummies and drinks. A provision in the federal spending bill that could end the US government shutdown would effectively destroy the hemp extracts industry by banning intoxicating hemp-based THC products, including gummies and drinks. The provision, part of the funding bill passed by the US Senate Monday night, would ban the "unregulated sale of intoxicating hemp-based or hemp-derived products, including delta-8, from being sold online, in gas stations, and corner stores," according to a Senate Appropriations Committee summary of the legislation. The bill, accounting for $26.65 billion in funds, is being voted on in the House of Representatives Wednesday. If passed, President Donald Trump is expected to sign it into law.

Major win for Trump on Gaza, but will it stand test of time? A billboard showing an image of U.S. President Donald Trump to thank him for his role in reaching a ceasefire deal with Hamas, and another one bearing Israel's national flag, are installed on a main highway in Tel Aviv on Thursday. Washington - U.S. President Donald Trump has undeniably scored a diplomatic victory by helping to broker a truce for Gaza, but the path to the lasting peace he says he wants for the Middle East is littered with obstacles. And it remains to be seen whether the 79-year-old Trump -- who is not exactly known for his attention to the fine print -- will devote the same level of energy to the conflict over the long term, once his victory lap in the region is over next week. Any agreement between Israelis and Palestinians, but especially one indirectly brokered between Israel and Hamas is an extraordinary achievement, said Aaron David Miller, who worked for multiple U.S. administrations of both parties.

In this work we focus on one primary use case: neuroprosthetics powered by intracortical brain computer interfaces (iBCIs). With electrical recordings of just dozens to hundreds of channels of neuronal population spiking activity, today's iBCIs can relate this observed neural activity to behavioral intent, achieving impressive milestones such as high-speed speech decoding [

Unlike the case for text--wherein every document written in a given language shares a basic lexicon for tokenization--there is no one-to-one correspondence between neurons in different individuals.

The A.I. Bubble Is Coming for Your Browser Artificial-intelligence startups, like the makers of the "smart" web browser Dia, are being acquired for vast sums. There's an old business maxim dating to the California gold rush: it's easier to make money selling picks and shovels to aspiring miners than to strike it rich finding gold. Artificial intelligence is in a picks-and-shovels phase right now. If gold, in this metaphor, is artificial general intelligence--a machine smarter than a human--or some version of a digital god, then tech companies are snapping up the tools to create one, including graphics-processing units, data centers, and trained A.I. models. That scramble is why Mark Zuckerberg is paying a twenty-four-year-old A.I. researcher two hundred and fifty million dollars to work at Meta, and why Sam Altman, the C.E.O. of OpenAI, recently said that the company would spend "trillions of dollars" building infrastructure.

As Princeton WordNet continues to gain significance as a semantic lexicon in Natural Language Processing, the need for its localization and for ensuring the quality of this process has become increasingly critical. Existing efforts remain limited in both scale and rigor, and there is a notable absence of studies addressing the accuracy of localization or its alignment with the cultural context of Arabic. This paper proposes a structured framework for the localization of Princeton WordNet, detailing the stages and procedures required to achieve high-quality results without compromising cultural authenticity. We further present our experience in applying this framework, reporting outcomes from the localization of 10,000 synsets.