A misconception is currently thriving in the industry that one can become a Generative AI expert without learning “traditional” machine learning. Large Language Models (LLMs) predict the next word in a sequence of words. They calculate the probability of occurrence of each word in a vocabulary that can follow a sequence of words. In the

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TradingKey - Artificial intelligence has developed rapidly in recent years, with deep learning and generative AI models, in particular, making extraordinary strides. Historically, every major technological revolution has restructured employment and the labor market. During the First Industrial Revolution (1760–1840), humanity transitioned from relying on human, animal, and water power to coal and steam power

This financing reflects the accelerating demand for a new data infrastructure stack needed for the development and deployment of artificial generally intelligent systems. VAST Data,  the AI Operating System company, has announced the closing of its Series F financing at a $30 billion valuation, representing more than a threefold increase from its $9.1 billion Series

As algorithms begin to testify in our courtrooms, the scales of justice are facing a digital recalibration that challenges centuries of traditional jurisprudence. There is a need to move beyond the Section 65B straitjacket to frame AI not merely as a digital record, but as a distinct form of machine-generated expert opinion. By leveraging the

Elizabethtown College’s Teaching and Learning Design Studio has announced its Learning Design Fellows for the 2026-2027 academic year. The Learning and Design Studio supports the efforts of faculty to improve teaching methods on campus. Fellows are given coaching and support to develop projects with the goal of having their finalized projects used by other faculty

In the rapidly evolving world of artificial intelligence, the question of how to best integrate AI agents into workflows is a critical one for businesses. IBM's Demand Strategist, Katie McDonald, and Senior Data & AI Technical Specialist, Brianne Zavala, recently discussed the strategic choices teams face when implementing AI agents. They framed the decision as

Using machine learning, an electronic nose can “smell” early signs of ovarian cancer in the blood. The method is precise and, according to the LiU researchers behind the study, it could eventually be used to find many different cancers. The study is published in the scientific journal Advanced intelligent systems. One of 32 sensors in