Ignore the constant chatter about the latest Pepe price prediction or the endless Shiba Inu stories. A new contender, Pepeto (PEPETO), is now taking the spotlight with a presale that mixes meme culture and real utility. Backed by audited contracts, zero fee trading, and high staking rewards, experts believe Pepeto is designed to outperform the … Read more
Chandra Sekhara Reddy Adapa has built next-gen Master Data Management systems for global giants like LabCorp, PepsiCo, Verizon, and Intel. His work unified 400M+ patient records with AI/ML, cut healthcare processing times by 80%, saved $250M at Verizon, and reduced Intel’s supplier onboarding to under an hour. By integrating blockchain, cloud, and AI, he has … Read more
Bhanu Raju is reshaping enterprise data with SAP Datasphere, Collibra, and Data Mesh frameworks that improve governance, accessibility, and financial analytics. His initiatives delivered a 50% cut in reporting time, 40% efficiency gains in finance and procurement, and 40% better reconciliation accuracy. By advancing real-time reporting and AI-driven governance, Raju positions enterprises to scale securely … Read more
Ramesh Betha revolutionized data operations with AI-powered self-healing pipelines and automation that reduced critical incidents by 80% and delivered 99% reliability. His “Morning Insights” program gives executives auto-generated analytics daily, shifting teams from manual firefighting to strategic roles. By blending technology with cultural change, Betha drives cost savings, boosts retention, and sets a blueprint for … Read more
Little Pepe (LILPEPE) is gaining traction with its Ethereum Layer-2 blockchain, zero-tax trading, staking rewards, DAO voting, and a meme launchpad. The presale has raised $23.6M, with Stage 12 nearly sold out and early investors already seeing 110% gains. With NFTs, cross-chain features, and a $777K giveaway, analysts predict LILPEPE could break into the top … Read more
How Unstoppable Domains’ .ROBOT Could Give Robots a Digital Identity What if robots could have their own identities on the internet? This question is at the heart of a new initiative by Unstoppable Domains, a Web3 digital identity platform, in partnership with blockchain startup 0G Foundation. The two organizations have announced the launch of “.ROBOT,” … Read more
How are you, hacker? 🪐 What’s happening in tech today, September 9, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, The First Computer “Bug” in 1947, STS-64 Launches in 1994, Tajikistan’s Independence Day in 1991, and we present you with these top quality stories. From Is Trump Remote … Read more
Back in 2018, I wrote a story, To Kill an Outsourcing Bird. For my younger readers, that’s supposed to be a clear allusion to another kind of bird – a mocking one. I entertained the idea of “outsourcegeddon.” You know, Trump being Trump, small carrots and big sticks for companies that refuse to do business … Read more
Oracle Forms doesn’t natively allow client file access, but WebUtil bridges the gap. This tutorial shows how to configure WebUtil and use it to read and write files, upload and download documents, and enhance application usability. With sample PL/SQL code and best practices, you’ll learn to securely integrate modern file handling into your Oracle Forms … Read more
Oracle Applications R12, also known as Oracle E-Business Suite R12, is a comprehensive enterprise resource planning platform that unifies financials, supply chain, HR, projects, and customer management. Built on a scalable three-tier architecture and packed with features like Multi-Org Access Control, Subledger Accounting, and integrated compliance tools, R12 enables global organizations to streamline processes, ensure … Read more
Why have stablecoins processed trillions in transactions yet remain barely used for everyday payments? Despite over $7 trillion worth of stablecoin transactions in the past year, these digital dollars and euros are rarely used to buy groceries or pay bills. One enterprise-focused blockchain company, Concordium, believes a lack of security and compliance is holding stablecoins … Read more
Table of Links Abstract and 1. Introduction The Compound Decision Paradigm Parametric Priors Nonparametric Prior Estimation Empirical Bayes Methods for Discrete Data Empirical Bayes Methods for Panel Data Conclusion Appendix A. Tweedie’s Formula Appendix B. Predictive Distribution Comparison References 6. Empirical Bayes Methods for Panel Data Longitudinal data poses many new challenges and opportunities for … Read more
Table of Links I. Introduction II. Spim Performance, Advantages and Generality III. Inherently Low Rank Problems A. Properties of Low Rank Graphs B. Weakly NP-Complete Problems and Hardware Precision Limitation C. Limitation of Low Rank Matrix Mapping IV. Low Rank Approximation A. Decomposition of Target Coupling Matrix B. How Fields Influence Ran C. Low Rank … Read more
Table of Links Abstract and 1. Introduction The Compound Decision Paradigm Parametric Priors Nonparametric Prior Estimation Empirical Bayes Methods for Discrete Data Empirical Bayes Methods for Panel Data Conclusion Appendix A. Tweedie’s Formula Appendix B. Predictive Distribution Comparison References 5. Empirical Bayes Methods for Discrete Data The range of empirical Bayes methods extends far beyond … Read more
Table of Links I. Introduction II. Spim Performance, Advantages and Generality III. Inherently Low Rank Problems A. Properties of Low Rank Graphs B. Weakly NP-Complete Problems and Hardware Precision Limitation C. Limitation of Low Rank Matrix Mapping IV. Low Rank Approximation A. Decomposition of Target Coupling Matrix B. How Fields Influence Ran C. Low Rank … Read more
Content Overview Who should use the Core APIs Core API applications Build models and workflows Build frameworks and tools Build for scientific computing Core API components Next steps The TensorFlow Core APIs provide a set of comprehensive, composable, and extensible low-level APIs for high-performance (distributed and accelerated) computation, primarily aimed at building machine learning (ML) … Read more
Mahé, Seychelles, September 8th, 2025/Chainwire/–Aster, a decentralized perpetuals exchange known for its privacy-focused trading infrastructure, has officially launched Aster Genesis: Stage 2, its airdrop points campaign, just as it confirms the long-anticipated date for its Token Generation Event (TGE). The Stage 1 campaign saw 527,224 unique wallets amassing over $37.7B in trading volume across 20 … Read more
:::info Authors: (1) Umberto Michieli, Samsung Research UK; (2) Jijoong Moon, Samsung Research Korea; (3) Daehyun Kim, Samsung Research Korea; (4) Mete Ozay, Samsung Research UK. ::: Table of Links Abstract and 1. Introduction Few-Shot Personalized Instance Recognition Object-Conditioned Bag of Instances Experimental Results Conclusion References ABSTRACT Nowadays, users demand for increased personalization of vision … Read more
Table of Links Abstract and I Introduction II. Literature Review III. Method of the Study IV. Result and Discussion V. Conclusion, Acknowledgment, and References IV. RESULT AND DISCUSSION For object detection, we employed the YOLOv5 model and YOLOv8 model by utilizing YOLOv5s and YOLOv8s pretrained models respectively. We primarily relied on precision, recall, F-score, and … Read more
Table of Links Abstract and I Introduction II. Literature Review III. Method of the Study IV. Result and Discussion V. Conclusion, Acknowledgment, and References III. METHODOLOGY OF THE STUDY In this experimental study, researchers conducted imaging of Artemia nauplii in various saltwater samples saturated with nanoparticles. The process involved capturing images of the nauplii under … Read more
:::info Authors: (1) Mahmudul Islam, Masum School of Computing and Information Sciences, Florida International University Miami, USA (mmasu004@fiu.edu); (2) Arif Sarwat, Department of Electrical and Computer Engineering, Florida International University Miami, USA (asarwat@fiu.edu); (3) Hugo Riggs,Department of Electrical and Computer Engineering, Florida International University Miami, USA (hrigg002@fiu.edu); (4) Alicia Boymelgreen, Department of Mechanical and Materials … Read more
:::info Authors: (1) Ivar Bjørgo Saksvik, Department of Mechanical, Electronic and Chemical Engineering Oslo Metropolitan University, Oslo, Norway (s309664@oslomet.no); (2) Alex Alcoce,r Department of Mechanical, Electronic and Chemical Engineering Oslo Metropolitan University, Oslo, Norway (alepen@oslomet.no); (3) Vahid Hassani, Department of Mechanical, Electronic and Chemical Engineering Oslo Metropolitan University, Oslo, Norway (vahidhas@oslomet.no). ::: Table of Links … Read more
Table of Links Abstract and I Introduction II. Materials and Methods III. Results and Discussions IV. Conclusion and References III. RESULTS AND DISCUSSIONS A. Generalized Model Firstly, we evaluated our model on four class breathing cycle using micro and macro metrics described in section II-B. To compare our results with traditionally used CNN architectures, we … Read more
Table of Links Abstract and I Introduction II. Materials and Methods III. Results and Discussions IV. Conclusion and References II. MATERIALS AND METHODS A. Dataset For this work we have used the International Conference on Biomedical and Health Informatics (ICBHI’17) scientific challenge respiratory sound database [39]. This is the largest publicly available respiratory sound database. … Read more
:::info Authors: (1) Jyotibdha Acharya (Student Member, IEEE), HealthTech NTU, Interdisciplinary Graduate Program, Nanyang Technological University, Singapore; (2) Arindam Basu (Senior Member, IEEE), School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. ::: Table of Links Abstract and I Introduction II. Materials and Methods III. Results and Discussions IV. Conclusion and References Abstract—The primary … Read more
Table of Links Abstract and 1. Introduction Related Work Preliminaries Proposed Method Experimental Setup Results and Analysis Discussion and Conclusion, and References A. The Connection Between Prefix-tuning and Hypernetwork B. Number of Tunable Parameters C. Input-output formats 6. Results and Analysis We design a series of experiments for pure language and V&L tasks on both … Read more
Table of Links Abstract and 1. Introduction Related Work Preliminaries Proposed Method Experimental Setup Results and Analysis Discussion and Conclusion, and References A. The Connection Between Prefix-tuning and Hypernetwork B. Number of Tunable Parameters C. Input-output formats 5. Experimental Setup 5.1. Datasets Our framework is evaluated on the GLUE benchmark (Wang et al., 2019b) in … Read more
Table of Links Abstract and 1. Introduction Related Work Preliminaries Proposed Method Experimental Setup Results and Analysis Discussion and Conclusion, and References A. The Connection Between Prefix-tuning and Hypernetwork B. Number of Tunable Parameters C. Input-output formats 2. Related Work In this section, we review recent research on parameter-efficient tuning for pure language and V&L … Read more
:::info Authors: (1) Zhengkun Zhang, with Equal contribution from Work is done at the internship of Noah’s Ark Lab, Huawei Technologies (2) Wenya Guo and TKLNDST, CS, Nankai University, China (yangzl@nankai.edu.cn); (3) Xiaojun Meng, with Equal contribution from Noah’s Ark Lab, Huawei Technologies; (4) Yasheng Wang, Noah’s Ark Lab, Huawei Technologies; (5) Yadao Wang, Noah’s … Read more
Content Overview Introduction Overview of data parallel training with DTensor Setup The MNIST Dataset Preprocessing the data Build the MLP The dense layer The MLP sequential model Training metrics Optimizer Data packing Training Performance evaluation Saving your model Conclusion Introduction This notebook uses the TensorFlow Core low-level APIs and DTensor to demonstrate a data-parallel distributed training example. Visit the Core … Read more