Zylo

<a href="https://hackernoon.com/tagged/salesloft" target="_blank">SalesLoft</a>, the Creator of the Modern Sales Engagement Platform, is a 6 year old company headquartered in Atlanta, GA. SalesLoft is growing over 100% YoY in revenue and has doubled its employee base in the last year. With such rapid success and growth, different challenges come up along the way. In the new world of Cloud and <a href="https://hackernoon.com/tagged/saas" target="_blank">SaaS</a> based everything and empowering employees to use the best resources possible to get their jobs done, <strong>it is harder than ever for an organization to know exactly what software is purchased and in use across the entire business.</strong>

A Single SaaS System of Record Creates Visibility and Increased Efficiency for the SalesLoft…

An expansion on an article that's doing really well - Not 7 but 15 open source tools in total to run local LLMs on your own machine!

How to Run Your Own Local LLM: Updated for 2024 - Version 2

A clear explanation of Android’s Zygote process and how it enables fast, secure app startup through Linux process forking.

Android OS Architecture, Part 5: The Zygote Process

Sui continues to advance zkLogin, adding new providers and additional features such as multi-sig capability and more.

10 Decentralized Applications Integrate Sui’s Groundbreaking zkLogin Google Authentication

At <a href="https://criticalblue.com" target="_blank">CriticalBlue</a>, we’ve been discussing the newly disclosed Meltdown and Spectre flaws and their impact on <a href="https://approov.io" target="_blank">device security</a>. Our CTO, Richard Taylor, wrote two blog posts giving a nice overview of the exploits and their likely impact on mobile device security. <a href="https://hackernoon.com/you-just-need-to-speculate-to-exfiltrate-a093a31aa904" target="_blank">Part 1</a> provides a clear explanation of the attacks and goes a little deeper than most. Part 2, focused on Android exploits, is included below to help get the word out.

The Spectre of the Zygote

Crypto layers explained: from Layer 0 to Layer 3, what they mean and why they matter. Which layer do you use most?

Layer 0, Layer 1, Layer 2… What Do These “Layers” Mean in Crypto?

The switch comes on the back of benching Helvijs “broky” Saukants. s1mple’s reputation is enough to bring huge hopes, yet the markets are cautious: 10.1 is the 

Cloudbet Opens CS2 Austin Major Odds Following s1mple's Loan Move To FaZe

Ika is the first sub-second MPC network, enabling zero trust interoperability between blockchains at unprecedented scale, across hundreds of signer nodes with i

Ika Reveals Strategic Investment From Sui Foundation, Bringing Total Funding To Over $21m

If you’re in any kind of business worth any value you need to consider transacting on blockchain nodes to prevent fraud and stay in sync with the times.

How Blockchain Nodes Keep Your Money and Data Safe

MaCoDE turns masked language modeling into a powerful method for synthetic tabular data generation with high ML utility and privacy control.

Can BERT Generate Tables? Exploring MaCoDE’s Approach to Synthetic Data

Understand Android's Garbage Collector, how it manages memory with Young and Old Generations, and how it prevents memory leaks and performance issues.

Android GC Explained: A Short Read

PANM boosts neural models’ ability to handle longer sequences by using memory pointers for better generalization in reasoning and translation tasks.

Turning AI Into Better Thinkers With Pointer-Based Memory

Discover how EVEDEX blends social logins, embedded wallets, and Account Abstraction to make decentralized apps accessible without compromising security.

Choosing Wallets for Decentralized Applications

Researchers have optimized Layer-7 load balancing using programmable SmartNICs to improve efficiency, cost, and energy use in cloud data centers.

Your Internet Traffic Is Slower Than It Should Be—Laconic Fixes That

Analyze how continual learning enhances RL agents' adaptability in market simulations, compared to testing and untrained groups, under real-world scenarios.

Continual Learning in Reinforcement Learning Agents with Pre-trained, Testing, and Untrained Groups

Additional simulation results, including QQ plots, ACF graphs, and volatility analysis, revealing insights into agent performance and market dynamics.

Reinforcement Learning Simulation Metrics: QQ plots, ACF graphs, and Volatility Analysis

Analyzing RL and ZI agents shows RL agents closely mimic real market patterns, including volatility clustering and return autocorrelations, over time.

RL Agents Show Superior Realism and Adaptability Over Zero-Intelligence Agents

Detailed configurations of agents and simulations, including flash sales, informed LT setups, and market characteristics across different hyper-parameters.

Configuring Reinforcement Learning Simulation: Agent Settings, Hyper-Parameters, & Market Insights

Explore how reinforcement learning agents optimize trading in continuous double auction markets, leveraging Markov Decision Processes and limit order books.

Reinforcement Learning Agents Optimizes Trading in CDA Markets 

Explore how experiments validate RL agents' ability to replicate real-world market properties, from statistical behaviors to adaptability under external impacts

Realistic Market Simulations Are Essential for Testing Reinforcement Learning Behavior

This study showcases how RL agents with continual learning create the most realistic market simulations, adapting to external factors and changing conditions.

Continual Learning RL Agents Set New Standard for Realistic Market Simulations

Explore how market-making and liquidity-taking RL agents operate in realistic simulations, leveraging independent policies and reward-driven strategies.

Market-Making & Liquidity-Taking Agents Leverages Independent Policies & Reward-driven Strategies

Explore how RL agents adapt to flash sale events, altering price expectations and order strategies in response to imbalanced limit order books (LOBs).

RL Agents Adapt to Flash Sale Events & Imbalanced Limit Order Books (LOBs)

Discover how RL-based liquidity-taking and market-making agents operate in a parallel CDA system, enhancing trading simulations with realism and adaptability.

Reinforcement Learning Simulation Features Realism and Adaptability 

Zylo is the leading SaaS optimization platform that transforms how companies manage and optimize the vast and accelerating number of cloud-based applications organizations rely on today

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Zylo's stories on HackerNoon

A Single SaaS System of Record Creates Visibility and Increased Efficiency for the SalesLoft…

How to Run Your Own Local LLM: Updated for 2024 - Version 2

Android OS Architecture, Part 5: The Zygote Process

10 Decentralized Applications Integrate Sui’s Groundbreaking zkLogin Google Authentication

The Spectre of the Zygote

Layer 0, Layer 1, Layer 2… What Do These “Layers” Mean in Crypto?

Cloudbet Opens CS2 Austin Major Odds Following s1mple's Loan Move To FaZe

Ika Reveals Strategic Investment From Sui Foundation, Bringing Total Funding To Over $21m

How Blockchain Nodes Keep Your Money and Data Safe

Can BERT Generate Tables? Exploring MaCoDE’s Approach to Synthetic Data

Android GC Explained: A Short Read

Turning AI Into Better Thinkers With Pointer-Based Memory

Choosing Wallets for Decentralized Applications

Your Internet Traffic Is Slower Than It Should Be—Laconic Fixes That

Continual Learning in Reinforcement Learning Agents with Pre-trained, Testing, and Untrained Groups

Reinforcement Learning Simulation Metrics: QQ plots, ACF graphs, and Volatility Analysis

RL Agents Show Superior Realism and Adaptability Over Zero-Intelligence Agents

Configuring Reinforcement Learning Simulation: Agent Settings, Hyper-Parameters, & Market Insights

Reinforcement Learning Agents Optimizes Trading in CDA Markets

Realistic Market Simulations Are Essential for Testing Reinforcement Learning Behavior

Continual Learning RL Agents Set New Standard for Realistic Market Simulations

Market-Making & Liquidity-Taking Agents Leverages Independent Policies & Reward-driven Strategies

RL Agents Adapt to Flash Sale Events & Imbalanced Limit Order Books (LOBs)

Reinforcement Learning Simulation Features Realism and Adaptability

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