The new reMarkable Paper Pro adds a color screen
If you remember the reMarkable 2 when it was announced in March 2020, you’ll be excited to hear that its ...
Tag: paper
This AI paper from Cornell and Brown University introduces epistemic hyperparameter optimization: a randomized search approach advocated to combat hyperparameter cheating.
Machine learning has revolutionized several fields, offering powerful tools for data analysis and predictive modeling. Central to the success of ...
What if game engines could be powered by neural networks? This Google AI paper introduces GameNGen and explores how diffusion models are revolutionizing real-time gaming
A major challenge in ai-powered game simulation is the ability to accurately simulate complex interactive environments in real-time using neural ...
Smooth processing of two-hour videos: This AI paper introduces LONGVILA, a breakthrough in deep context visual language models for long videos
The main challenge in developing advanced visual language models (VLMs) lies in enabling these models to effectively process and understand ...
This AI paper from ETH Zurich presents DINKEL: a state-aware query generation framework for testing GDBMS (graph database management systems)
Graph database management systems (GDBMS) have become essential in today's data-driven world, which requires ever-increasing management of complex and highly ...
This AI paper proposes to use the AI-based Agent Workflow (AgWf) paradigm to improve the effectiveness of Process Mining (PM) in LLMs.
Process mining is a part of data science that deals with the analysis of event logs produced by information systems ...
This research paper won the ICML 2024 Best Paper Award
Introduction You know how we always hear about “diverse” datasets in machine learning? Well, it turns out there’s been a ...
AI security parameters may not guarantee real security: This AI paper reveals the hidden risks of security laundering
Ensuring the safety of increasingly powerful ai systems is a critical concern. Current ai safety research aims to address emerging ...
This paper on artificial intelligence presents a verbalized way of performing machine learning and carries out several case studies on regression and classification tasks.
Large-scale language models (LLMs) have revolutionized problem solving in machine learning by shifting the paradigm from traditional end-to-end training to ...
This Stanford paper on AI offers new insights into the collapse of AI models and the accumulation of data
Large-scale generative models such as GPT-4, DALL-E, and Stable Diffusion have transformed ai, demonstrating remarkable capabilities for generating text, images, ...
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