January 2026

Feature Leakage in Machine Learning: The Silent Killer Destroying Your Model’s Real Performance

Feature Leakage in Machine Learning: The Silent Killer Destroying Your Model’s Real Performance

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Author(s): Rohan Mistry Originally published on Towards AI. Understanding Data Leakage, Target Leakage, and Temporal Leakage — And How to Detect and Prevent Them Your machine learning model achieves 98% accuracy on validation data. Your team celebrates. You deploy to production. Source: Image by author.The article delves into the concept of data leakage in machine learning, explaining how it can lead to models performing well on training data but failing in real-world applications. It outlines three main types […]

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Convex Chance-Constrained Stochastic Control under Uncertain Specifications with Application to Learning-Based Hybrid Powertrain Control

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This paper presents a strictly convex chance-constrained stochastic control framework that accounts for uncertainty in control specifications such as reference trajectories and operational constraints. By jointly optimizing control inputs and risk allocation under general (possibly non-Gaussian) uncertainties, the proposed method guarantees probabilistic constraint satisfaction while ensuring strict convexity, leading to uniqueness and continuity of the optimal solution. The formulation is further extended to nonlinear model-based control using exactly linearizable models identified through machine learning. The effectiveness of the […]

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Alibaba Just Open-Sourced Voice Cloning That Works in 3 Seconds

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Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. Flow-Matching Meets Voice Generation Another week, another AI breakthrough that changes everything we thought we knew about voice generation. This time, it’s Alibaba’s Qwen team dropping their entire Qwen3-TTS family into the open-source wild. Qwen3-TTS family models provide efficient real-time voice cloning and multi-language generation.The article discusses Alibaba’s release of the Qwen3-TTS voice generation technology, which allows users to clone voices in just 3 seconds while generating natural-sounding […]

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Hierarchical Reasoning Models: When 27M Parameters Outperform Chain-of-Thought

Hierarchical Reasoning Models: When 27M Parameters Outperform Chain-of-Thought

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Author(s): Kyouma45 Originally published on Towards AI. Paper-explained Series 4 TL;DR Most AI models “reason” by talking themselves through problems using chain-of-thought, which is slow, brittle, and expensive.This article explains a different idea called the Hierarchical Reasoning Model (HRM). Instead of reasoning in words, HRM thinks silently in layers, similar to how the human brain separates planning from execution. A slow, high-level module decides what to do, while a fast, low-level module figures out how to do it […]

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Google Titans Crushes Transformers: Neural Memory for Infinite Context

Google Titans Crushes Transformers: Neural Memory for Infinite Context

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Author(s): Divy Yadav Originally published on Towards AI. The powerful shift from the transformer to Titans Remember that time you walked into a room and completely forgot why you went there? That frustrating “brain fart” is your short-term memory failing you. By the AuthorResearchers at Google have introduced a new architecture called Titans, which aims to solve the memory issues that have historically plagued AI models. Unlike traditional architectures, Titans can learn to remember important information during inference, […]

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System Design Guide From Zero: The Only 30 Concepts You Need

System Design Guide From Zero: The Only 30 Concepts You Need

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Author(s): Divy Yadav Originally published on Towards AI. A complete, beginner-comprehensive guide for designing scalable systems and cracking system design interviews This guide assumes you are a beginner and want to get strong in System Design. I have made it in such a way that after reading it, you will feel confident and will be able to solve System Design problems. Photo by authorThis article serves as a comprehensive guide to system design concepts, covering essential topics including […]

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NVIDIA’s Real Moat Isn’t Hardware — It’s 4 Million Developers

NVIDIA’s Real Moat Isn’t Hardware — It’s 4 Million Developers

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Author(s): JP Caparas Originally published on Towards AI. A fact-check of the ‘NVIDIA is dying’ thesis, and what the numbers actually show I watched Theo’s video “Why NVIDIA is dying” yesterday, and I couldn’t stop thinking about it. The core thesis felt important enough to verify. So I spent a few hours digging through earnings reports, SEC filings, and technical benchmarks to separate signal from noise. That green is slowly being eaten away.The article discusses the debate surrounding […]

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Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement Learning

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Temporal Knowledge Graph Question Answering (TKGQA) is inherently challenging, as it requires sophisticated reasoning over dynamic facts with multi-hop dependencies and complex temporal constraints. Existing methods rely on fixed workflows and expensive closed-source APIs, limiting flexibility and scalability. We propose Temp-R1, the first autonomous end-to-end agent for TKGQA trained through reinforcement learning. To address cognitive overload in single-action reasoning, we expand the action space with specialized internal actions alongside external action. To prevent shortcut learning on simple questions, […]

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TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment

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In recent years, safety risks associated with large language models have become increasingly prominent, highlighting the urgent need to mitigate the generation of toxic and harmful content. The mainstream paradigm for LLM safety alignment typically adopts a collaborative framework involving three roles: an attacker for adversarial prompt generation, a defender for safety defense, and an evaluator for response assessment. In this paper, we propose a closed-loop reinforcement learning framework called TriPlay-RL that enables iterative and co-improving collaboration among […]

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La sinrazón de los caprichos de Trump y la inercia de la lógica histórica

La sinrazón de los caprichos de Trump y la inercia de la lógica histórica

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La inteligencia artificial, esa promesa tecnológica que hoy domina la agenda económica, empresarial y geopolítica, está disparando la demanda energética global a un ritmo que muy pocos supieron anticipar. Los centros de datos que alimentan modelos de lenguaje, sistemas de visión artificial y servicios basados en inteligencia artificial están empujando el consumo eléctrico a niveles sin precedentes, hasta el punto de convertirse ya en un factor relevante dentro del cómputo total de emisiones. Y el problema, obviamente, no […]

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