~hackernoon | Bookmarks (1900)

In this study, researchers from Microsoft introduce phi-1, a new large language model for code, with significantly smaller size than competing models.

Criminal IP, a leader in Cyber Threat Intelligence (CTI) search engine developed by AI SPERA, announced that it has successfully integrated its IP address-related risk detection data with IPLocation.io. The system continuously enhances its accuracy by transforming self-collected threat data, particularly behavioral patterns for IP address evasion.

In this study, researchers from Microsoft introduce phi-1, a new large language model for code, with significantly smaller size than competing models.

In this study, researchers from Microsoft introduce phi-1, a new large language model for code, with significantly smaller size than competing models.

In this study, researchers from Microsoft introduce phi-1, a new large language model for code, with significantly smaller size than competing models.

In between two light intensities, there is a transition regime, where the phototactic behavior is hard to reproduce. We investigate the effects of well diameter, algae concentration, light intensity, and finally history of the algae, on the photOTactic behavior. The aim of our work is to better understand the parameters responsible for this variety of algal behaviors in the transition regime.

Tap games, where players achieve goals through repetitive tapping or clicking, are gaining massive popularity. The appeal of tap games lies in their straightforward gameplay and the thrill of earning virtual rewards. Solheist stands out as a leader in bringing exciting and rewarding gameplay to Telegram users worldwide.

The AI evolution began 100 years ago in the dreams and collective consciousness of humans. This article discusses the story of AI evolution from its start.

The paper expresses gratitude to the numerous individuals and teams who contributed to the research and development of ELIZA, including Anthony Hay, Art Schwarz, and various anonymous commenters. Special thanks are given to the MIT Archivists and other contributors who provided valuable resources and insights throughout the project.

C. reinhardtii strain CC-125 (Chlamydomonas Resource Center, University of Minnesota, MN, USA) was cultured on a solid medium prepared with TrisAcetate-Phosphate (Gibco™ TAP, ThermoFischer Scientific, France) Cultures were placed in an agitating incubator at 176 rpm, under a day/light cycle of 14h/10h with an illuminance of 60 µmol · m−2 · s −1. Images were recorded at 10 fps with a CMOS camera (Hamamatsu...

Joseph Weizenbaum’s ELIZA was intended as a tool to study human interpretation of AI, but it ended up being misconstrued as an example of true AI. Despite its role in AI research, ELIZA’s success in creating an illusion of understanding led to the exact confusion Weizenbaum aimed to avoid. This misinterpretation, compounded by the shift from SLIP to Lisp and later developments in AI,...

EasyA, the world's leading Web3 education app, proudly announces that it has surpassed one million downloads across iOS and Android. As of today, over 100,000 developers have learned about Polkadot via EasyA. EasyA alumni have founded startups valued at over $2.5 billion and have raised from top VCs.

Opus Security’s Advanced Multi-Layered Prioritization Engine is a transformative approach to vulnerability management. By integrating multiple layers of intelligence, contextual analysis and risk mitigation, the engine ensures that security teams can effectively prioritize and address the most critical vulnerabilities. Opus Security is the leader in unified cloud-native remediation.

Phototaxis, the directed motion in response to a light stimulus, is crucial for motile microorganisms that rely on photosynthesis. We show experimentally that microalgae also have a shortterm memory, on the time scale of a couple of minutes, which is the opposite of adaptation. Our experimental results are rationalized by the introduction of a simplified model of phototaxis.

We study a stochastic model of consensus formation. We consider a version of the model where the space of possible opinions is a convex body B in R d. N individuals in a population each hold a (multidimensional) opinion in B. Repeatedly, the individual whose opinion is furthest from the centre of mass of the N current opinions chooses a new opinion, sampled uniformly...

This study introduces adaptive restructuring of Merkle and Verkle trees to tackle blockchain scalability challenges, offering significant efficiency improvements and practical benefits over existing solutions. It paves the way for broader blockchain adoption and enhanced data verification processes.

This analysis compares adaptive Merkle and Verkle tree restructuring with existing blockchain scalability solutions, such as sharding and Layer 2 protocols, showcasing its unique efficiency benefits and integration potential.

We introduce adaptive Merkle trees that optimize blockchain efficiency through dynamic restructuring, reducing computational costs. Our method also enhances Verkle trees, showcasing its impact on large-scale blockchain applications.

This article explores innovative approaches to improving blockchain scalability by optimizing Merkle trees, addressing the limitations of static structures and existing scalability solutions.

Adaptive restructuring enhances Verkle trees by optimizing data structure based on access patterns. This leads to reduced proof sizes, faster verification speeds, dynamic scalability, cost efficiency, and improved performance in sharded blockchain architectures. The integration of these techniques promises significant advancements in blockchain efficiency and adaptability.

This section explores how adaptive restructuring can optimize Verkle trees, a new data structure that combines Merkle trees and vector commitments. By dynamically adjusting tree configurations based on usage patterns and applying coding principles like Huffman coding, adaptive restructuring aims to improve storage efficiency and verification speed in blockchain systems.

This article explores the integration of adaptive Merkle trees into blockchain systems, focusing on how they shift path encoding from a balanced to a usage-frequency-based model. It addresses compatibility with existing structures through tabular storage of address-path correlations, demonstrating significant efficiency gains in data verification while maintaining operational continuity.

This article demonstrates how leaf pair swapping can optimize Patricia-Merkle tree fragments by significantly reducing discrepancies and improving tree efficiency. It highlights the impact of this method on minimizing average path length and enhancing the scalability of blockchain systems, particularly in Ethereum.

This article explores the use of leaf pair swapping to optimize non-binary trees, including Patricia-Merkle trees in Ethereum. It demonstrates how this method can reduce discrepancies and improve tree efficiency, with practical examples and a focus on enhancing blockchain operations.