Articles

  • Aug 13, 2024 | wired.me | Seth Dobrin

    |     Technology     |    43m ago AI is a new tool of cultural hegemony and colonialism, but it doesn’t have to be. The rapid advancement of AI technologies, particularly large language models like GPT-3 and BERT, promises to revolutionize every aspect of our lives. However, the development of these technologies is concentrated in the hands of a few tech giants, primarily based in the United States and China.

  • Jun 10, 2024 | aibusiness.com | Seth Dobrin

    In the rapidly evolving landscape of artificial intelligence, generative AI models, specifically large language models (LLMs) such as OpenAI’s GPT, Google’s Gemini, Meta’s LLaMA and TII’s Falcon, have become prominent tools for tasks like text and code generation, summarization, language translation and other broad capabilities, including researching specific topics.

  • Apr 8, 2024 | aibusiness.com | Seth Dobrin

    The European Union's (EU) Artificial Intelligence (AI) Act, recently approved by the European Parliament in March 2024, is set to revolutionize the landscape of AI development and deployment in the EU and across the globe. With its focus on promoting "trustworthy" and "human-centric" AI while safeguarding fundamental rights, health, safety and the environment, the act introduces significant new requirements and restrictions for companies operating in the EU and impacting EU citizens worldwide.

  • Dec 7, 2023 | aibusiness.com | Ben Wodecki |Deborah Yao |Seth Dobrin

    FedEx CTO Adam Smith said the company is continuously looking at innovation to improve business operations, which includes the latest developments in generative AI at AI Summit New York 2023. He said the company looks at generative AI in three buckets. First, as an “applied technology” company, FedEx routinely works with several partners to use their platforms to help it run its business.

  • Dec 6, 2023 | aibusiness.com | Ben Wodecki |Deborah Yao |Seth Dobrin

    Companies deploying generative AI models often find it difficult to go beyond proofs of concept to operationalize their learnings at scale. But identifying these roadblocks is the first step to overcoming them, according to panelists at the AI Summit New York 2023.

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