Author: Ricardo

Data Science Editors Pick

A Coding Implementation to Portfolio Optimization with skfolio for Building Testing, Tuning, and Comparing Modern Investment Strategies
ByRicardo May 12, 2026

In this tutorial, we discover skfolio, a scikit-learn suitable portfolio optimization library that helps us construct, examine, and consider completely different funding methods in a structured Python workflow. We begin by loading S&P 500 worth knowledge, changing it into returns, and making a time-based train-test cut up appropriate for monetary evaluation. From there, we construct…

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Agentic AI Editors Pick

OpenAI Introduces Daybreak: A Cybersecurity Initiative That Puts Codex Security at the Center of Vulnerability Detection and Patch Validation
ByRicardo May 12, 2026

OpenAI on simply launched Daybreak, a cybersecurity initiative that mixes the firm’s frontier AI fashions with Codex Security, its coding-focused agentic system, and a broad community of safety companions. The program is aimed at builders, enterprise safety groups, researchers, and government-linked defenders who want to seek out, validate, and patch software program vulnerabilities earlier in…

Read More OpenAI Introduces Daybreak: A Cybersecurity Initiative That Puts Codex Security at the Center of Vulnerability Detection and Patch Validation
Artificial Intelligence Editors Pick

Understanding LLM Distillation Techniques
ByRicardo May 11, 2026

Modern giant language fashions are not educated solely on uncooked web textual content. Increasingly, firms are utilizing highly effective “trainer” fashions to assist practice smaller or extra environment friendly “scholar” fashions. This course of, broadly referred to as LLM distillation or model-to-model coaching, has change into a key approach for constructing high-performing fashions at decrease…

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Artificial Intelligence Big Data

How to Build Technical Analysis and Backtesting Workflow with pandas-ta-classic, Strategy Signals, and Performance Metrics
ByRicardo May 11, 2026May 11, 2026

In this tutorial, we implement how to use pandas-ta-classic to construct an entire technical evaluation and buying and selling technique workflow. We begin by putting in the required libraries, downloading historic OHLCV inventory knowledge with yfinance, cleansing the returned knowledge construction, and inspecting the accessible indicator classes contained in the library. We then calculate well-liked…

Read More How to Build Technical Analysis and Backtesting Workflow with pandas-ta-classic, Strategy Signals, and Performance Metrics
AI Infrastructure AI Paper Summary

Meta and Stanford Researchers Propose Fast Byte Latent Transformer That Reduces Inference Memory Bandwidth by Over 50% Without Tokenization
ByRicardo May 11, 2026May 11, 2026

A workforce of researchers from Meta, Stanford University, and the University of Washington have launched three new strategies that considerably speed up era within the Byte Latent Transformer (BLT) — a language mannequin structure that operates straight on uncooked bytes as an alternative of tokens. Byte-Level Models Are Slow at Inference To perceive what this…

Read More Meta and Stanford Researchers Propose Fast Byte Latent Transformer That Reduces Inference Memory Bandwidth by Over 50% Without Tokenization
Sponsored Content

AI automates HR compliance, except for the area tech companies need
ByRicardo May 11, 2026May 11, 2026

Artificial intelligence is reworking how companies deal with compliance. Background checks run in real-time. Payroll monitoring flags discrepancies mechanically. Predictive analytics anticipate worker churn earlier than it occurs. HR tech stacks now supply automated options for almost each regulatory requirement – from GDPR information requests to office security reporting. But there’s one evident exception. For…

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AI Business Strategy AI Market Trends

Bain sees US$100 billion SaaS market in agentic AI automation
ByRicardo May 11, 2026

Bain & Company has estimated a US$100 billion market in the US for SaaS firms utilizing agentic AI. The agency stated the market is tied to automating coordination work in enterprise techniques. The estimate comes from the second report in Bain’s five-part collection on the software program business in the age of AI. The report…

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Uncategorized

Artificial Intelligence at Travelers – Two Use Cases
ByRicardo May 11, 2026

Travelers Companies, Inc. is without doubt one of the largest property and casualty insurers within the United States, serving private, enterprise, and specialty insurance coverage prospects throughout North America, the United Kingdom, and Ireland. In 2023, the corporate reported whole revenues of $41.364 billion and web earnings of $2.991 billion, based on its annual report…

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AI Infrastructure AI Paper Summary

Sakana AI and NVIDIA Introduce TwELL with CUDA Kernels for 20.5% Inference and 21.9% Training Speedup in LLMs
ByRicardo May 11, 2026May 11, 2026

Scaling massive language fashions (LLMs) is dear. Every token processed throughout inference and each gradient computed throughout coaching flows via feedforward layers that account for over two-thirds of mannequin parameters and greater than 80% of whole FLOPs in bigger fashions. A crew researchers from Sakana AI and NVIDIA have labored on a brand new analysis…

Read More Sakana AI and NVIDIA Introduce TwELL with CUDA Kernels for 20.5% Inference and 21.9% Training Speedup in LLMs
Agentic AI Context Engineering

A Coding Implementation to Build Agent-Native Memory Infrastructure with Memori for Persistent Multi-User and Multi-Session LLM Applications
ByRicardo May 11, 2026May 11, 2026

In this tutorial, we implement how Memori serves as an agent-native reminiscence infrastructure layer for constructing extra persistent, context-aware LLM functions. We begin by organising Memori in a Google Colab setting and connecting it to each synchronous and asynchronous OpenAI shoppers, so that each mannequin name can robotically move by means of the reminiscence layer….

Read More A Coding Implementation to Build Agent-Native Memory Infrastructure with Memori for Persistent Multi-User and Multi-Session LLM Applications

Author: Ricardo

A Coding Implementation to Portfolio Optimization with skfolio for Building Testing, Tuning, and Comparing Modern Investment Strategies

OpenAI Introduces Daybreak: A Cybersecurity Initiative That Puts Codex Security at the Center of Vulnerability Detection and Patch Validation

Understanding LLM Distillation Techniques

How to Build Technical Analysis and Backtesting Workflow with pandas-ta-classic, Strategy Signals, and Performance Metrics

Meta and Stanford Researchers Propose Fast Byte Latent Transformer That Reduces Inference Memory Bandwidth by Over 50% Without Tokenization

AI automates HR compliance, except for the area tech companies need

Bain sees US$100 billion SaaS market in agentic AI automation

Artificial Intelligence at Travelers – Two Use Cases

Sakana AI and NVIDIA Introduce TwELL with CUDA Kernels for 20.5% Inference and 21.9% Training Speedup in LLMs

A Coding Implementation to Build Agent-Native Memory Infrastructure with Memori for Persistent Multi-User and Multi-Session LLM Applications

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