Latest AI & Business News
Stay updated with the latest insights in AI and business, delivered directly to you.
-
美 법무부, 컴플라이언스 평가 개정안 발표··· 전문가 “부서 간 협업 중요한 시점”
최근 미국 법무부(DoJ)가 기업 컴플라이언스 프로그램 평가 지침(ECCP)의 개정안을 발표했다. 미국 내 CIO와 고위 경영진들은 더욱 엄격한 새로운 규정을 준수해야 한다. 지난 23일 텍사스주 그레이프바인에서 니콜 M. 아르젠티에리 법무부 차관보가 발표한 개정안에 대해 가트너(Gartner)는 “컴플라이언스 담당자는 직원들의 책임감 있는 AI 사용에 대해 명확한 지침을 제공해야 한다는 요구에 직면하게 될 것”이라고 설명했다. 아르젠티에리는 기업 컴플라이언스 윤리…
-
Improving Length Generalization in Algorithmic Tasks with Looped Transformers: A Study on n-RASP-L Problems
Recent research highlights that Transformers, though successful in tasks like arithmetic and algorithms, need help with length generalization, where models handle inputs of unseen lengths. This is crucial for algorithmic tasks such as coding or reasoning, where input length often correlates with problem difficulty. Large language models face this limitation even when scaled due to…
-
Bank of America survey predicts massive AI lift to corporate profits
Software firms may benefit the most, while the human capital-driven healthcare services industries could see a profit deterioration.
-
How a 15-Year-Old Gamer Became the Patron Saint of the Internet
In 2025, Carlo Acutis will officially become the first millennial saint. But will he help the Catholic Church reach a younger audience?
-
AutoCE: An Intelligent Model Advisor Revolutionizing Cardinality Estimation for Databases through Advanced Deep Metric Learning and Incremental Learning Techniques
Cardinality estimation (CE) is essential to many database-related tasks, such as query generation, cost estimation, and query optimization. Accurate CE is necessary to ensure optimal query planning and execution within a database system. Adopting machine learning (ML) techniques has introduced new possibilities for CE, allowing researchers to leverage ML models’ robust learning and representation capabilities.…
-
Enhancing Language Models with Retrieval-Augmented Generation: A Comprehensive Guide
Retrieval Augmented Generation (RAG) is an AI framework that optimizes the output of a Large Language Model (LLM) by referencing a credible knowledge base outside of its training sources. RAG combines the capabilities of LLMs with the strengths of traditional information retrieval systems such as databases to help AI write more accurate and relevant text.…
-
메가존클라우드, 하나투어에 맞춤형 AI 챗봇 서비스 구현 발표
메가존클라우드가 생성형 AI 기술 기반 서비스로 하나투어의 고객 상담을 고도화하는 프로젝트를 성공적으로 완수했다고 30일 밝혔다. 하나투어는 지난 7월 메가존클라우드의 ‘GenAI360’을 적용해 ‘AI 채팅 상담 서비스’의 시범 운영을 개시한 바 있다. 이번 프로젝트는 해당 서비스를 고객 맞춤형 상담이 가능하도록 고도화하는 작업이다. 30일 정식 서비스에 들어간 이번 ‘AI 채팅 상담 서비스’는 고객들의 실제 예약 정보를 기반으로 맞춤…
-
G2 Names INE 2024 Enterprise and Small Business Leader
INE, a global leader in networking and cybersecurity training and certifications, is proud to announce they have earned 14 awards in G2’s Fall 2024 Report, including “Fastest Implementation” and “Most Implementable,” which highlight INE’s superior performance relative to competitors. “Best hands-on and real world scenario based curriculum,” raves small business user Satvik V. in a…
-
GITEX GLOBAL 2024: Huawei to Accelerate Industrial Digitalization and Intelligence
From October 14 to 18, Huawei will participate in the GITEX Global 2024, one of the world’s largest technology exhibitions, as a Diamond Sponsor. There, it will showcase a variety of innovative products and solutions at the exhibition under the theme “Accelerate Industrial Digitalization and Intelligence”. Huawei aims to come together with global industry customers,…
-
Scaling Laws and Model Comparison: New Frontiers in Large-Scale Machine Learning
Large language models (LLMs) have gained significant attention in machine learning, shifting the focus from optimizing generalization on small datasets to reducing approximation error on massive text corpora. This paradigm shift presents researchers with new challenges in model development and training methodologies. The primary objective has evolved from preventing overfitting through regularization techniques to effectively…