Uni-LoRA: Ultra-Efficient Parameter Reduction For LLM Training Low-Rank Adaptation (LoRA) revolutionized how we fine-tune large language models by introducing parameter-efficient training methods that constrain weight updates to low-rank matrix decompositions (Hu... computational efficiency isometric projections linear algebra LoRA machine learning mathematics neural networks optimization parameter efficiency projection methods
Scaling Laws Unveiled: The Mathematical Blueprint Behind Smarter, Cheaper AI Models Training a state-of-the-art language model can cost tens of millions of dollars and months of computation time, not to mention the expertise needed for development. Yet until now, researchers have bee... AI Chinchilla deep learning GPT-3 language models machine learning neural networks optimization principal component analysis scaling laws statistical methodology
Quantum Physics Inspires a Groundbreaking Formula for Pi Physicists Arnab Priya Saha and Aninda Sinha have used the mind-bending principles of quantum mechanics to offer a fresh formula for pi that’s already making waves across the mathematical landscape. Q... mathematics optimization particle physics pi quantum mechanics scientific research series representation
How IBM Research Is Shaping the Future of Algorithm Development Algorithm development is entering an exciting phase as quantum computing and artificial intelligence (AI) begin to blend with traditional high-performance computing. IBM Research is using its extensiv... algorithms artificial intelligence high-performance computing IBM Research linear algebra optimization quantum computing stochastic processes
Quantum Application Functions Are Changing Research Workflows Quantum computing is no longer just a theoretical pursuit, it's making waves in real-world research thanks to the emergence of application functions. IBM’s latest updates to the Qiskit Functions Catal... application functions chemistry finance machine learning optimization Qiskit quantum computing research tools
Agentic Neural Networks: Self-Evolving Multi-Agent Systems Through Textual Backpropagation The landscape of artificial intelligence is rapidly evolving as researchers explore new ways to harness the collaborative power of multiple Large Language Models (LLMs). A groundbreaking paper from Lu... artificial intelligence LLMs multi-agent systems neural networks optimization textual backpropagation
Quantum Advantage: Are We Entering a New Computational Era? The world of quantum computing is witnessing a pivotal moment as researchers edge closer to achieving quantum advantage. Recent credible claims suggest that quantum computers can now outperform classi... computational science error mitigation IBM Quantum optimization quantum advantage quantum computing quantum hardware variational algorithms
AlphaEvolve: How Gemini-Powered AI Is Shaping the Future of Algorithm Design Google is developing a future where AI agents not only create algorithms but also evolves them for peak efficiency. AlphaEvolve, developed with Google's Gemini large language models, delivers on this ... AI algorithm discovery data centers Gemini hardware design large language models mathematics optimization
How Google's Optimization API Is Revolutionizing Global Cargo Shipping Unlocking Efficiency on the High Seas Ever wondered how the world’s goods efficiently cross oceans? With 90% of global trade carried by cargo ships, ensuring these massive vessels follow optimal route... algorithms cargo shipping container logistics mathematical programming network design operations research optimization supply chain