November 12, 2024

Democratizing finance: Spectral Labs and the autonomous finance movement

From 2024 to 2031, there will be an annual growth of 26.00% in AI and blockchain and Spectral Labs is taking part in this revolution. Spectral Labs is on a mission to change the way users interact with decentralized finance (DeFi) using AI-powered onchain agents. These autonomous agents allow users to do complex financial tasks without any technical expertise, so DeFi can be open to a wider audience. Founded by Sishir Varghese, Spectral Labs is

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AI

Boosting Algorithms in Machine Learning, Part II: Gradient Boosting

Uncovering a simple yet powerful, award-winning machine learning algorithm Gurjinder Kaur · Follow Published in Towards Data Science · 9 min read · 3 hours ago — Photo by Kevin Bowler on Unsplash In this article, we will learn about gradient boosting, a machine learning algorithm that lays the foundation of popular frameworks like XGBoost and LightGBM which are award-winning solutions for several machine learning competitions. This is a great article for anyone thinking about

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Hardware

NVIDIA’s first consumer APU teased: leaks tease RTX 4070 Laptop GPU perf at 65W while gaming

TL;DR: NVIDIA is developing its first consumer APU with gaming performance comparable to the GeForce RTX 4070 Laptop GPU, using just 65W, targeting AMD’s upcoming Strix Halo APU. This Arm-based processor, developed with MediaTek, aims to launch in thin-and-light laptops within a couple of years, with power up to 80W. NVIDIA’s first consumer APU is said to have gaming performance that hits levels of the GeForce RTX 4070 Laptop GPU, using just 65W, aiming directly

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Software

PotCoin Announces the Launch of the High Rollers Club | HackerNoon

PotCoin is entering into a new era of innovation and community engagement. Introducing exclusive giveaways and rewards for dedicated PotCoin holders. The platform will rejuvenate the PotCoin community and incentivize loyal participants. The High Rollers Club will deliver exclusive benefits to PotCoin holders through a dynamic reward system, reigniting the excitement that first defined the PotCoin movement. The PotCoin High Rollers Vault introduces a straightforward, rewarding experience for dedicated crypto enthusiasts. Members can deposit their

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Software

Uni-OVSeg: A Step Towards Efficient and Bias-Resilient Vision Systems | HackerNoon

Authors: (1) Zhaoqing Wang, The University of Sydney and AI2Robotics; (2) Xiaobo Xia, The University of Sydney; (3) Ziye Chen, The University of Melbourne; (4) Xiao He, AI2Robotics; (5) Yandong Guo, AI2Robotics; (6) Mingming Gong, The University of Melbourne and Mohamed bin Zayed University of Artificial Intelligence; (7) Tongliang Liu, The University of Sydney. Table of Links Abstract and 1. Introduction 2. Related works 3. Method and 3.1. Problem definition 3.2. Baseline and 3.3. Uni-OVSeg

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Uni-OVSeg: Weakly-Supervised Open-Vocabulary Segmentation with Cutting-Edge Performance | HackerNoon

Authors: (1) Zhaoqing Wang, The University of Sydney and AI2Robotics; (2) Xiaobo Xia, The University of Sydney; (3) Ziye Chen, The University of Melbourne; (4) Xiao He, AI2Robotics; (5) Yandong Guo, AI2Robotics; (6) Mingming Gong, The University of Melbourne and Mohamed bin Zayed University of Artificial Intelligence; (7) Tongliang Liu, The University of Sydney. Table of Links Abstract and 1. Introduction 2. Related works 3. Method and 3.1. Problem definition 3.2. Baseline and 3.3. Uni-OVSeg

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The Impact of Mask-Text Alignment and Multi-Scale Ensemble on Uni-OVSeg’s Segmentation Accuracy | HackerNoon

Authors: (1) Zhaoqing Wang, The University of Sydney and AI2Robotics; (2) Xiaobo Xia, The University of Sydney; (3) Ziye Chen, The University of Melbourne; (4) Xiao He, AI2Robotics; (5) Yandong Guo, AI2Robotics; (6) Mingming Gong, The University of Melbourne and Mohamed bin Zayed University of Artificial Intelligence; (7) Tongliang Liu, The University of Sydney. Table of Links Abstract and 1. Introduction 2. Related works 3. Method and 3.1. Problem definition 3.2. Baseline and 3.3. Uni-OVSeg

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Uni-OVSeg Outperforms Weakly-Supervised and Fully-Supervised Methods in Open-Vocabulary Segmentation | HackerNoon

Authors: (1) Zhaoqing Wang, The University of Sydney and AI2Robotics; (2) Xiaobo Xia, The University of Sydney; (3) Ziye Chen, The University of Melbourne; (4) Xiao He, AI2Robotics; (5) Yandong Guo, AI2Robotics; (6) Mingming Gong, The University of Melbourne and Mohamed bin Zayed University of Artificial Intelligence; (7) Tongliang Liu, The University of Sydney. Table of Links Abstract and 1. Introduction 2. Related works 3. Method and 3.1. Problem definition 3.2. Baseline and 3.3. Uni-OVSeg

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How agentic RAG can be a game-changer for data processing and retrieval

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More When large language models (LLMs) emerged, enterprises quickly brought them into their workflows. They developed LLMs applications using Retrieval-Augmented Generation (RAG), a technique that tapped internal datasets to ensure models provide answers with relevant business context and reduced hallucinations. The approach worked like a charm, leading to the rise of functional chatbots and search products that

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