Seq2Seq2Seq: Lossless Data Compression via Discrete Latent Transformers and Reinforcement Learning | ScienceToStartup | ScienceToStartup

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References (30)

[1]

A comparative analysis on using GPT and BERT for automated vulnerability scoring

2025Seyedeh Leili Mirtaheri, Andrea Pugliese et al.

[2]

Hidden-layer configurations in reinforcement learning models for stock portfolio optimization

2024Patrick Kevin Aritonang, S. Wiryono et al.

[3]

Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data

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"Novel lossless compression method using Reinforcement Learning and T5 models to enhance data compression efficiency."

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Seq2Seq2Seq: Lossless Data Compression via Discrete Latent Transformers and Reinforcement Learning

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References (30)

Founder's Pitch

"Novel lossless compression method using Reinforcement Learning and T5 models to enhance data compression efficiency."

Commercial Viability Breakdown

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Why It Matters

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Disruption

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Seq2Seq2Seq: Lossless Data Compression via Discrete Latent Transformers and Reinforcement Learning

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References (30)

Founder's Pitch

"Novel lossless compression method using Reinforcement Learning and T5 models to enhance data compression efficiency."

Commercial Viability Breakdown

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