Mindverse

NLP expert discusses the evolution of AI, waking up the consciousness and the biggest issues with LLMs...

From Facebook to MindverseAI: Felix Tao's Insights on AI Evolution and the Future of Large Language 

Mintverse with NFTSCAN is introducing project verification for all projects allowing them to sign the verification contract to provide authenticity.

Mintverse is Bringing Project Verification to NFTs in order to Provide Investor Protection

In 2015, reading about VR in the New York Times was nothing short of euphoric. It got me thinking: The NEWS in the Metaverse — would it affect us emotionally?

Will Metaverse Affect us Emotionally

Now that almost everyone is working from home, startup founders looking to raise money from investors will need to do so remotely. In fact, in-person pitches may now be a thing of the past.  

Five Tips for Nailing Your Remote Startup Pitch During the Pandemic 

Masked attention and contrastive loss improve caption accuracy and reduce overlapping predictions.

When AI Learns to See the Unknown: Wrapping Up the OW‑VISCap Study

Datadog introduces Toto, an AI model for time series forecasting that boosts accuracy, reliability, and responsible observability.

Toto: Time Series Optimized Transformer for Observability

Idefics2, an efficient 8B vision-language model, sets new multimodal AI benchmarks—while its release, dataset, and red-teaming highlight progress and risks.

How an 8B Open Model Sets New Standards for Safe and Efficient Vision-Language AI

Pruned early-bird subnetworks in Transformers reduce memory by up to 49% and maintain performance, validating a faster training strategy across ViT, and GPT-2.

Experiments

Hi-Mapper enhances AI’s ability to understand visual hierarchies using hyperbolic space learning, improving scene comprehension and deep learning models.


What If AI Understood Images Like We Do? This Model Might

We present a strong regression-based model for zero-shot shape reconstruction. The core of our model is an intermediate representation of the 3D visible surface

ZeroShape: What We Can Conclude From This Strong Regression-Based Model

Researchers at Beeble AI have developed a method for improving how light and shadows can be applied to human portraits in digital images.

See the Stunning Details This AI Preserves in Relit Photos

Researchers at the Mohamed bin Zayed University developed an AI model that can create text-based conversations tied to specific objects or regions in an image.

New Method Could Unlock AI's Power to See and Describe Images with Unmatched Detail

Mamba introduces a selection mechanism to structured state space models, enabling context-dependent reasoning with linear scaling in sequence length.

Why Mamba Could Be the Future of Big Data Processing

Meet the authors whose contributions formed a holistic evaluation of text-to-image models. 

Holistic Evaluation of Text-to-Image Models: Author contributions, Acknowledgments and References

This article shines a light on the work of Bluesky and AT protocol in decentralizing the social media experience for a new crop of users. 

Rethinking Social Media: Bluesky and the AT Protocol’s Approach to Moderation and User Control

Explore the evolving landscape of decentralized social networks, comparing key protocols like Bluesky, Secure Scuttlebutt, and ActivityPub. 

Understanding Decentralized Social Networks

Data augmentation enhances model generalization in computer vision but may introduce biases, impacting class accuracy unevenly.

A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Conclusion and Limitation

In this study, researchers present an end-to-end general-purpose any-to-any MM-LLM system called NExT-GPT.

NExT-GPT: Any-to-Any Multimodal LLM: Conclusion and References

This paper presents an opensource toolkit intended primarily for ecologists and computer-vision/machine-learning researchers for wildlife re-identification.

WildlifeDatasets: an Open-source Toolkit for Animal Re-identification: Conclusion and References

Discover how the Dependency Discovery Deck transformed our Agile team's backlog refinement process, enhancing collaboration, planning, and efficiency.

Unveiling the Power of the Dependency Discovery Deck: A Game-Changer for Agile Teams

Med-Flamingo enhances multimodal few-shot learning in medical VQA, achieving up to 20% improvement with generative answers from a specialized dataset.

Med-Flamingo: a Multimodal Medical Few-shot Learner - Discussion, Acknowledgments, and References

New AI model (Rate Card Transformer) analyzes package details (size, carrier etc.) to predict shipping costs more accurately. 

Unveiling the Power of Self-Attention for Shipping Cost Prediction: References

In this paper, researchers introduce VEATIC dataset for human affect recognition, addressing limitations in existing datasets, enabling context-based inference.

VEATIC: Familiarity and Enjoyment Ratings & References

In this paper we propose a new few-shot learning approach that allows us to decouple the complexity of the task space from the complexity of individual tasks.

HyperTransformer: Conclusion and References

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MINDVERSE

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5 emps

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Mindverse's Related Companies

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2013

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