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CFO StraTech 2024, scheduled to take place on February 8, 2024, at the Hyatt Regency Riyadh Olaya, holds its 16th edition, marking a progression in the scope of the conference. The event promises over 20 expert speakers and representation from more than 130 companies, paving the way for meaningful networking, learning, and collaboration. Modern CFOs, regarded…

The ever-evolving field of artificial intelligence has seen a pivotal development in the intersection of visual and linguistic data via large vision-language models (LVLMs). LVLMs are reshaping how machines interpret the world, presenting an approach close to human perception. They offer a myriad of applications including image recognition systems, advanced natural language processing, and creating…

The integration of artificial intelligence (AI) with mathematical reasoning offers an exciting juncture where one of humanity’s oldest intellectual pursuits meets cutting-edge technology. Large Language Models (LLMs) are a notable development, promising to marry linguistic nuances with structured mathematical logic and offer innovative approaches to complex problems beyond pure computation. Mathematics offers an extensive array of…

The Generative AI for Automotive Summit, taking place from February 21-22, 2024, at the Leonardo Royal Hotel in Frankfurt, Germany, will explore the increasing influence and potential of generative AI in the automotive industry. The summit will focus on the impact of this technology on vehicle design, product development, simulation, process automation, and cost reduction. Generative…

OpenAI, a leading artificial intelligence (AI) research organization, announced plans to adopt the C2PA (Coalition for Content Provenance) standard. This will be used to add metadata to images rendered by DALL-E 3, a part of their generative AI model family. The implementation is set for February 12th and will be available for both desktop and…

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP). LLMs, though lacking a universal definition, are regarded as multi-functional machine learning models capable of handling various NLP tasks effectively. The introduction of transformer architecture marked an important phase in the evolution of these models. LLMs majorly perform four tasks: natural language understanding,…

Self-supervised learning (SSL) has shown its indispensability in AI by pre-training representations on large, unlabeled datasets, lessening the need for labeled data. Still, a major hindrance remains in SSL, primarily in Joint Embedding (JE) architectures. The challenge lies in appraising the quality of learned representations without relying on downstream tasks or annotated datasets. The evaluation…