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GraphAide: Building and Utilizing Knowledge Graphs for Domain-Specific Digital Assistants
Large Language Models (LLMs) have revolutionized artificial intelligence applications across various fields, enabling domain experts to use pre-trained models for innovative solutions. While LLMs excel at tasks like summarization, correlation, and inference, developing LLM-based applications remains a dynamic area of research across various input sources. Knowledge Graphs (KGs) serve as powerful tools that can be…
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Support Vector Machine (SVM) Algorithm
Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are particularly effective when dealing with complex datasets. The core principle behind SVM is to identify the optimal hyperplane that effectively separates data points into different classes while maximizing…
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Kinetix: An Open-Ended Universe of Physics-based Tasks for Reinforcement Learning
Self-supervised learning on offline datasets has permitted large models to reach remarkable capabilities both in text and image domains. Still, analogous generalizations for agents acting sequentially in decision-making problems are difficult to attain. The environments of classical Reinforcement Learning (RL) are mostly narrow and homogeneous and, consequently, hard to generalize. Current reinforcement learning (RL) methods…
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Mobile AI opens new horizons for sustainable business growth in the digital age
As we navigate through 2024 and gear up for 2025, we are witnessing a pivotal moment in technological evolution where two transformative forces—5.5G (also referred to as 5G-Advanced or 5G-A) networks and artificial intelligence (AI)—are converging to reshape our digital landscape. The commercial launch of 5.5G, coinciding with an extraordinary multiplying of AI applications, marks…
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CIO Middle East and IDC hosts the inaugural CIO100 Awards, celebrating the region’s top 100 tech leaders
In a landmark event for the Middle East’s technology sector, Foundry and IDC have officially launched the inaugural CIO100 Middle East Awards in Dubai, spotlighting the region’s most influential and visionary CIOs and tech leaders. The new awards program builds on the success of Foundry’s global recognition platform, expanding the prestigious CIO50 initiative to celebrate…
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MIT Researchers Propose Boltz-1: The First Open-Source AI Model Achieving AlphaFold3-Level Accuracy in Biomolecular Structure Prediction
Understanding biomolecular interactions is crucial for fields like drug discovery and protein design. Traditionally, determining the three-dimensional structure of proteins and other biomolecules required costly and time-consuming laboratory experiments. AlphaFold3, launched in 2024, revolutionized the field by demonstrating that deep learning could achieve experimental-level accuracy in predicting biomolecular structures, including complex interactions. Despite these advances,…
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“비상임 이사 80%, 오늘날의 이사회는 AI 감독에 부적절” 가트너 설문조사
기업의 비상임 이사(NED;Non-Executive Director, 사외 이사)의 91%가 AI를 위험보다는 주주 가치의 기회로 보고 있으며, 80%는 현재 이사회의 관행과 구조가 AI를 감독하기에 부적절하다고 생각하는 것으로 조사됐다. 또한, 사이버 리스크를 주주 가치에 대한 위협으로 인식하는 비상임 이사가 93%에 달하는 것으로 나타났다. 가트너가 비상임 이사를 대상으로 실시한 설문 조사 결과를 발표했다. 이번 설문은 2024년 6월부터 8월까지 북미, 라틴…
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Meet Beepo-22B: The Unrestricted AI Finetuned Model based on Mistral Small Instruct 22B
Modern language models have transformed our daily interactions with technology, offering tools that help draft emails, write articles, code software, and much more. However, these powerful models often come with significant limitations. Many language models today are hamstrung by overly cautious guardrails that restrict certain types of information or enforce a predetermined moral stance. While…
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세일즈포스AI의 CEO 클라라 시, 20개월 만에 사임
세일즈포스AI의 CEO인 클라라 시가 취임 20개월 만에 사임했다. 시와 회사 측은 공식 발표하지 않았으나, 한 관계자는 세일즈포스 AI 플랫폼의 제품 수석 부사장이었던 아담 에반스가 세일즈포스AI 수석 부사장 겸 총괄 매니저 직책으로 승진했다고 전했다. 에반스는 이미 자신의 링크드인 프로필에 새로운 직함을 반영했다. 세일즈포스에는 마크 베니오프 CEO 외에도 여러 사업 부문과 지역을 담당하는 CEO가 있다. 시도 그중…
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NVIDIA’s OMCAT: A Breakthrough in Cross-Modal Temporal Understanding for Multimodal AI
Large Language Models (LLMs) have advanced considerably in generating and understanding text, and recent developments have extended these capabilities to multimodal LLMs that integrate both visual and audio data. Despite these gains, these models still face challenges with fine-grained cross-modal temporal reasoning, especially in aligning events across audio and video streams. To address this, an…