Author: Hunter
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Efficient Blockchain State Management with Quick Merkle Database (QMDB)
Blockchain systems face significant challenges in efficiently managing and updating state storage due to high write amplification (WA) and extensive I/O operations. In traditional architecture, such as Merkle Patricia Tries (MPT), frequent and expensive disk interactions incur inefficiencies that restrict throughput and scalability. Such problems are one of the biggest bottlenecks for decentralized applications requiring… Read more
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Beyond Passwords: A Multimodal Approach to Biometric Authentication Using ECG and Iris Data
Biometric authentication has emerged as a promising solution to enhance security by offering a more robust defense against cyber threats. However, hackers can increasingly develop sophisticated methods to bypass traditional security measures as technology advances. This includes forging common protections such as easily guessed PINs, passwords, or even misplacing physical keys, which were once considered… Read more
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Redefining Single-Channel Speech Enhancement: The xLSTM-SENet Approach
Speech processing systems often struggle to deliver clear audio in noisy environments. This challenge impacts applications such as hearing aids, automatic speech recognition (ASR), and speaker verification. Conventional single-channel speech enhancement (SE) systems use neural network architectures like LSTMs, CNNs, and GANs, but they are not without limitations. For instance, attention-based models such as Conformers,… Read more
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메타, 저성과자 중심 인력 5% 감축 계획 발표
워싱턴포스트, 뉴욕타임즈 등의 보도에 따르면, 주커버그는 14일 사내 공지문을 통해 “성과 관리 기준을 높이고 저성과자들을 신속히 정리할 것”이라며 “올해는 매우 치열한 한 해가 될 것이며, 최고의 인재들이 우리 팀에 있기를 바란다”고 밝혔다. 메타 이사진은 별도 메시지를 통해 이번 감축이 저성과자 중 약 5%를 대상으로 한다고 설명했다. 또한 해고 통보는 2월 10일에 이루어질 예정이며, 이전에 진행된… Read more
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Enhancing Language Model Performance and Diversity Through Multiagent Fine-Tuning
LLMs, such as GPT-3.5 and GPT-4, have shown exceptional capabilities in language generation, comprehension, and translation tasks. Despite these advancements, their performance is inherently constrained by the availability of training data, much of which has already been utilized. Recent research explores self-improvement by generating synthetic data by LLMs to address this limitation. While using advanced… Read more
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TimeDP: A Multi-Domain Time Series Diffusion Model with Domain Prompts
Generating time series data is important for many applications, including data augmentation, synthetic datasets, and scenarios. However, when there is more than one, this process becomes too complex because it includes variations of patterns across categories in the real world. With such wide variations in patterns among real-world categories, the complexity of the process tends… Read more
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Alibaba Qwen Team just Released ‘Lessons of Developing Process Reward Models in Mathematical Reasoning’ along with a State-of-the-Art 7B and 72B PRMs
Mathematical reasoning has long been a significant challenge for Large Language Models (LLMs). Errors in intermediate reasoning steps can undermine both the accuracy and reliability of final outputs, which is particularly problematic for applications requiring precision, such as education and scientific computation. Traditional evaluation methods, like the Best-of-N (BoN) strategy, often fail to capture the… Read more
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The SEC Is Suing Elon Musk. It’s All in the Timing
Less than a week before Donald Trump takes office, the SEC has filed a complaint against his most prominent benefactor. Read more
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Microsoft commits to AI integration, but delivers no particulars to differentiate from rivals
In his latest AI positioning statement, Microsoft CEO Satya Nadella said Monday that everything must revolve around Azure. The company is labeling this change, which came with various internal executive shifts, CoreAI. Analysts, however, agreed that the statement reflected no meaningful changes to Microsoft’s AI strategy. The bluntest assessment came from Ryan Brunet, a principal… Read more
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“2024년 전 세계 데이터센터 하드웨어 및 소프트웨어 지출, 사상 최고치”
시너지 리서치 그룹(Synergy Research Group)이 ‘2024년 데이터센터 인프라스트럭처 마켓(Data Center Infrastructure Market)’을 발표했다. 2024년에는 지난 5년간 성장이 주춤했던 기업 고객 매출이 21% 증가하고, 생성형 AI가 이러한 성장을 이끈 것으로 분석했다. 이 조사기관에 따르면 지난해 생성형 AI 워크로드를 위한 GPU 구매 수요가 클라우드 제공업체나 기업에서 폭증했고, 이는 엔비디아의 폭발적인 성장을 이끄는 요인이 됐다. 이 중 상당… Read more