How to get hired in the AI ​​era

If you’re currently applying for a junior position, you’ve probably noticed something odd. The list is still there, it just feels heavier to push against the door. You’ll see your applications get invalidated and your friends with decent resumes get ghosted. You don’t imagine it. I previously covered this blog when I reviewed Anthropic’s report […]

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Read more: AI is reshaping military decision-making on the battlefield

a new research A paper published in the Journal of Science Engineering Technology and Management Science proposes an AI-driven military decision support system designed to automate the classification of battlefield images and reduce delays between data collection and actionable intelligence. The authors of the article, titled “AI-Driven Military Decision Support Systems Using Deep Learning and […]

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UAE accelerates AI talent development as MBZUAI shapes future technology leaders

The strategy is in line with UAE Vision 2031 and reflects a broader national focus on building a knowledge-based economy driven by innovation, research and advanced technology. MBZUAI has emerged as a key pillar of the UAE’s innovation ecosystem by combining professional education and international collaboration to advance research and develop human capital in future […]

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How Do Self-Learning AI Agents Differ from Traditional Machine Learning Models and Current LLM-Based Agents?

Introduction The artificial intelligence landscape is undergoing a profound transformation. While traditional machine learning models dominated the past decade and large language models captured the world’s attention since 2022, a new paradigm is emerging that fundamentally changes how AI systems operate. Self-learning AI agents represent the next evolutionary leap, combining autonomy, adaptive reasoning, and continuous […]

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Coding guide for LLM post-training with TRL, from supervised fine-tuning to DPO and GRPO inference

import subprocess, sys subprocess.check_call([sys.executable, “-m”, “pip”, “install”, “-q”, “-U”, “torchao>=0.16”, “trl>=0.20”, “transformers>=4.45”, “datasets”, “peft>=0.13”, “accelerate”, “bitsandbytes”, ]) import sys as _sys for _m in [m for m in list(_sys.modules) if m.startswith((“torchao”, “peft”))]: _sys.modules.pop(_m, None) try: import torchao except Exception: import types _fake = types.ModuleType(“torchao”) _fake.__version__ = “0.16.1” _sys.modules[“torchao”] = _fake import os, re, gc, torch, […]

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Kopera awarded research fellowship for machine learning research

Michal Kopera, associate professor of mathematics and director of the Numerical Modeling Laboratory (NUMO Institute), has been awarded a prestigious National Science Foundation EPSCoR Research Fellowship to support new research initiatives at the intersection of scientific computing and machine learning. As part of this award, Kopela will spend a significant portion of his next sabbatical, […]

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