Machine
Alibaba Qwen Introduces Qwen3-MT: Next-Gen Multilingual Machine Translation Powered by Reinforcement Learning
Alibaba has introduced Qwen3-MT (qwen-mt-turbo) via Qwen API, its latest and most advanced machine translation model, designed to break language barriers with unprecedented accuracy, speed, and flexibility. Trained on trillions of multilingual tokens, Qwen3-MT supports over 92 languages—covering more than 95% of the global population. Leveraging cutting-edge architecture, reinforcement learning, and rich customization options, it delivers…
Thought Anchors: A Machine Learning Framework for Identifying and Measuring Key Reasoning Steps in Large Language Models with Precision
Understanding the Limits of Current Interpretability Tools in LLMs AI models, such as DeepSeek and GPT variants, rely on billions of parameters working together to handle complex reasoning tasks. Despite their capabilities, one major challenge is understanding which parts of their reasoning have the greatest influence on the final output. This is especially crucial for…
“The Goal Was That People Should Not Be Able To Tell If The Food Was Made By A Machine Or By Hand”- Yatin Varachhia, NOSH
– Advertisement – What if one got tired of cooking or bland takeout? A cooking robot came to the rescue, which even had to pass the ‘Mom’ test. Yatin Varachhia from NOSH tells EFY’s Nidhi Agarwal how this Bengaluru startup is redefining home-style meals with smart automation. Yatin Varachhia, Co-Founder and Head of Product, NOSH…
A familiar playbook with a twist: 3AM ransomware actors dropped virtual machine with vishing and Quick Assist
Ransomware is usually a crime of opportunity. Attackers typically strike through an easily-discovered vulnerability or security weakness— unpatched Internet-facing software, vulnerable network edge devices or exposed inbound virtual private network ports lacking multifactor authentication are among the most common points of initial compromise. However, some attacks appear much more targeted and include significant pre-attack reconnaissance…
What’s The Latest In Machine Vision?
Machine vision is critical for automation and Artificial Intelligence (AI). But how are new components and modules making development of Machine Vision systems faster, better and more intelligent? Let’s find out… When machine vision first emerged, it seemed like science fiction had come to life. The idea of machines being able to “see” and interpret…
The urgent reality of machine identity security in 2025
The importance of machine identity security has reached a critical juncture in 2025. With machine identities now far outnumbering human ones, securing these digital credentials has become a top cybersecurity priority for enterprises. However, as the CyberArk 2025 State of Machine Identity Security Report shows, many of the 1,200 security leaders in organizations we surveyed—across the U.S., U.K., Australia,…
Images altered to trick machine vision can influence humans too
Research Published 2 January 2024 Authors Gamaleldin Elsayed and Michael Mozer New research shows that even subtle changes to digital images, designed to confuse computer vision systems, can also affect human perception Computers and humans see the world in different ways. Our biological systems and the artificial ones in machines may not always pay attention…
Process Reinforcement through Implicit Rewards (PRIME): A Scalable Machine Learning Framework for Enhancing Reasoning Capabilities
Reinforcement learning (RL) for large language models (LLMs) has traditionally relied on outcome-based rewards, which provide feedback only on the final output. This sparsity of reward makes it challenging to train models that need multi-step reasoning, like those employed in mathematical problem-solving and programming. Additionally, credit assignment becomes ambiguous, as the model does not get…
Random Forest Algorithm in Machine Learning With Example – SitePoint
Machine learning algorithms have revolutionized data analysis, enabling businesses and researchers to make highly accurate predictions based on vast datasets. Among these, the Random Forest algorithm stands out as one of the most versatile and powerful tools for classification and regression tasks. This article will explore the key concepts behind the Random Forest algorithm, its…
Google DeepMind Introduces MONA: A Novel Machine Learning Framework to Mitigate Multi-Step Reward Hacking in Reinforcement Learning
Reinforcement learning (RL) focuses on enabling agents to learn optimal behaviors through reward-based training mechanisms. These methods have empowered systems to tackle increasingly complex tasks, from mastering games to addressing real-world problems. However, as the complexity of these tasks increases, so does the potential for agents to exploit reward systems in unintended ways, creating new…
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