Today, there are dozens of publicly available large language models (LLMs), such as GPT-3, GPT-4, LaMDA, or Bard, and the number is constantly growing as new models are released. LLMs have revolutionized artificial intelligence, completely altering how we interact with technology across various industries. These models allow us to learn from many human language datasets…
DJ Fang is a technology executive and entrepreneur with over 15 years of experience driving digital transformation and innovation across industries, including finance, energy, and healthcare. He has led initiatives for Fortune 500 companies and government agencies, combining business expertise with technical skills in AI, cybersecurity, and cloud infrastructure. As a serial entrepreneur, Fang has…
Massive cloud investment continues worldwide, with Gartner predicting public cloud spending to reach an eye-popping $1 trillion by 2027. This number is growing significantly as companies invest more in generative AI, as GenAI initiatives require a lot of cloud capacity. And yet, many organizations still struggle to maximize the value of their cloud investments. Cloud…
For those who have interacted with an android that looks incredibly human, many report that something “feels off.” This phenomenon goes beyond mere appearance – it is deeply rooted in how robots express emotions and maintain consistent emotional states. Or in other words, their lack of human-like abilities. While modern androids can masterfully replicate individual…
Daniel Cane is co-CEO and cofounder of South Florida-based ModMed®, a healthcare IT company that is transforming healthcare through specialty-specific, intelligent platforms to increase practice efficiency and improve patient outcomes. Founded in February 2010, ModMed has grown to over 1,200 employees and has raised over $332 million in total investment. Known for its progressive growth…
By adapting artificial intelligence models known as large language models, researchers have made great progress in their ability to predict a protein’s structure from its sequence. However, this approach hasn’t been as successful for antibodies, in part because of the hypervariability seen in this type of protein. To overcome that limitation, MIT researchers have developed…
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