Month: August 2025

Spotify is adding DMs

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Spotify’s new messaging feature can even be used by free accounts. Spotify is introducing a direct messaging feature that allows users to share music, podcast, and audiobook recommendations with each other without leaving the app. Messages is rolling out in “select markets” this week, according to Spotify’s press release, and will be available on mobile … Read more

How to Use AI to Create Prompts: A Masterclass in Prompt Engineering

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The secret to unlocking viral content in the age of AI isn’t just about having a brilliant idea. It’s about articulating that idea to your artificial intelligence counterpart with masterful precision. This piece will dissect the anatomy of a superior AI prompt, demonstrating the stark contrast between a bland, manually created directive and a strategically … Read more

Validating Hyperparameters and a Weekly Re-training Strategy for DRL Option Hedging

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Table of Links Abstract and 1. Introduction Deep Reinforcement Learning Similar Work 3.1 Option Hedging with Deep Reinforcement Learning 3.2 Hyperparameter Analysis Methodology 4.1 General DRL Agent Setup 4.2 Hyperparameter Experiments 4.3 Optimization of Market Calibrated DRL Agents Results 5.1 Hyperparameter Analysis 5.2 Market Calibrated DRL with Weekly Re-Training Conclusions Appendix References 5 Results 5.1 … Read more

Don’t Just Train Your AI, Re-Train It: The Weekly Workout Plan for a Smarter Option Hedge

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Table of Links Abstract and 1. Introduction Deep Reinforcement Learning Similar Work 3.1 Option Hedging with Deep Reinforcement Learning 3.2 Hyperparameter Analysis Methodology 4.1 General DRL Agent Setup 4.2 Hyperparameter Experiments 4.3 Optimization of Market Calibrated DRL Agents Results 5.1 Hyperparameter Analysis 5.2 Market Calibrated DRL with Weekly Re-Training Conclusions Appendix References 4 Methodology 4.1 … Read more

Avoiding the Pitfalls: A Guide to the Current State of DRL Option Hedging Research

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Table of Links Abstract and 1. Introduction Deep Reinforcement Learning Similar Work 3.1 Option Hedging with Deep Reinforcement Learning 3.2 Hyperparameter Analysis Methodology 4.1 General DRL Agent Setup 4.2 Hyperparameter Experiments 4.3 Optimization of Market Calibrated DRL Agents Results 5.1 Hyperparameter Analysis 5.2 Market Calibrated DRL with Weekly Re-Training Conclusions Appendix References 3 Similar Work … Read more

How Weekly AI Training Is Beating a Nobel Prize-Winning Formula

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:::info Authors: (1) Reilly Pickard, Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada (reilly.pickard@mail.utoronto.ca); (2) F. Wredenhagen, Ernst & Young LLP, Toronto, ON, M5H 0B3, Canada; (3) Y. Lawryshyn, Department of Chemical Engineering, University of Toronto, Toronto, Canada. ::: Table of Links Abstract and 1. Introduction Deep Reinforcement Learning Similar Work 3.1 … Read more

A Quantitative and Qualitative Analysis of the SymTax Citation Recommendation Model

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Table of Links Abstract and 1. Introduction Related Work Proposed Dataset SymTax Model 4.1 Prefetcher 4.2 Enricher 4.3 Reranker Experiments and Results Analysis 6.1 Ablation Study 6.2 Quantitative Analysis and 6.3 Qualitative Analysis Conclusion Limitations Ethics Statement and References Appendix 6 Analysis We conduct extensive analysis to assess further the modularity of SymTax, the importance … Read more

A Comparative Performance Analysis of SymTax on Five Citation Recommendation Datasets

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Table of Links Abstract and 1. Introduction Related Work Proposed Dataset SymTax Model 4.1 Prefetcher 4.2 Enricher 4.3 Reranker Experiments and Results Analysis 6.1 Ablation Study 6.2 Quantitative Analysis and 6.3 Qualitative Analysis Conclusion Limitations Ethics Statement and References Appendix 5 Experiments and Results This section illustrates the various baselines, evaluation metrics and datasets used … Read more

A Three-Stage Architecture for Precision Citation Recommendation

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Table of Links Abstract and 1. Introduction Related Work Proposed Dataset SymTax Model 4.1 Prefetcher 4.2 Enricher 4.3 Reranker Experiments and Results Analysis 6.1 Ablation Study 6.2 Quantitative Analysis and 6.3 Qualitative Analysis Conclusion Limitations Ethics Statement and References Appendix 4 SymTax Model We discuss the detailed architecture of our proposed model – SymTax, as … Read more

Bitpanda Considers Public Listing, Rules Out London as Destination: FT

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Cryptocurrency exchange Bitpanda is “looking much closer” into a public listing than previously, co-founder Eric Demuth said in an interview with the Financial Times. Demuth ruled out London as a likely venue for a public market debut, despite the crypto exchange’s recent expansion of U.K. operations. The lack of liquidity in share trading is putting … Read more

The Creation of ArSyTa, a Novel 8.27-Million-Context Dataset for Local Citation Recommendation

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Table of Links Abstract and 1. Introduction Related Work Proposed Dataset SymTax Model 4.1 Prefetcher 4.2 Enricher 4.3 Reranker Experiments and Results Analysis 6.1 Ablation Study 6.2 Quantitative Analysis and 6.3 Qualitative Analysis Conclusion Limitations Ethics Statement and References Appendix 2 Related Work Local citation recommendation has drawn comparatively less interest than its global counterpart … Read more

How Symbiotic AI Can Find Your Paper’s Next Great Citation

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:::info Authors: (1) Karan Goyal, IIIT Delhi, India (karang@iiitd.ac.in); (2) Mayank Goel, NSUT Delhi, India (mayank.co19@nsut.ac.in); (3) Vikram Goyal, IIIT Delhi, India (vikram@iiitd.ac.in); (4) Mukesh Mohania, IIIT Delhi, India (mukesh@iiitd.ac.in). ::: Table of Links Abstract and 1. Introduction Related Work Proposed Dataset SymTax Model 4.1 Prefetcher 4.2 Enricher 4.3 Reranker Experiments and Results Analysis 6.1 … Read more

A New Approach to 3D Scene Understanding: Replacing Heavy Segmentation Models for a 16x Speedup

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Table of Links Abstract and 1 Introduction Related works Preliminaries Method: Open-YOLO 3D Experiments Conclusion and References A. Appendix 5 Experiments Datasets: We conduct our experiments using the ScanNet200 [38] and Replica [40] datasets. Our analysis on ScanNet200 is based on its validation set, comprising 312 scenes. For the 3D instance segmentation task, we utilize … Read more

Drop the Heavyweights: YOLO‑Based 3D Segmentation Outpaces SAM/CLIP

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Table of Links Abstract and 1 Introduction Related works Preliminaries Method: Open-YOLO 3D Experiments Conclusion and References A. Appendix 3 Preliminaries Problem formulation: 3D instance segmentation aims at segmenting individual objects within a 3D scene and assigning one class label to each segmented object. In the open-vocabulary (OV) setting, the class label can belong to … Read more