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[Paper] Word Frequency Counting Based on Serverless MapReduce
With the increasing demand for high-performance and high-efficiency computing, cloud computing, especially serverless computing, has gradually become a research...
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[Paper] Bio-inspired Agentic Self-healing Framework for Resilient Distributed Computing Continuum Systems
Human biological systems sustain life through extraordinary resilience, continually detecting damage, orchestrating targeted responses, and restoring function t...
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Deep Reinforcement Learning: The Actor-Critic Method
Robot friends collaborate to learn to fly a drone The post Deep Reinforcement Learning: The Actor-Critic Method appeared first on Towards Data Science....
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PyTorch vs. TensorFlow: Choosing Your AI Framework for 2026
What is TensorFlow? Developed by Google Brain, TensorFlow is a robust and versatile framework known for its extensive collection of tools, libraries, and resou...
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[Paper] Rectifying Adversarial Examples Using Their Vulnerabilities
Deep neural network-based classifiers are prone to errors when processing adversarial examples (AEs). AEs are minimally perturbed input data undetectable to hum...
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[Paper] Modern Neuromorphic AI: From Intra-Token to Inter-Token Processing
The rapid growth of artificial intelligence (AI) has brought novel data processing and generative capabilities but also escalating energy requirements. This cha...
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2025: The Year in LLMs
Article URL: https://simonwillison.net/2025/Dec/31/the-year-in-llms/ Comments URL: https://news.ycombinator.com/item?id=46449643 Points: 56 Comments: 21...
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Teaching Machines the Art of Nuance with Google Cloud Natural Language API
Entity and Sentiment Analysis with Google Cloud Natural Language API Keywords are a blunt instrument for a sharp problem. Every day, users leave a digital trai...
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[Paper] SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and Time
We present SpaceTimePilot, a video diffusion model that disentangles space and time for controllable generative rendering. Given a monocular video, SpaceTimePil...
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[Paper] Coordinated Humanoid Manipulation with Choice Policies
Humanoid robots hold great promise for operating in human-centric environments, yet achieving robust whole-body coordination across the head, hands, and legs re...
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[Paper] Scaling Open-Ended Reasoning to Predict the Future
High-stakes decision making involves reasoning under uncertainty about the future. In this work, we train language models to make predictions on open-ended fore...
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[Paper] Vulcan: Instance-Optimal Systems Heuristics Through LLM-Driven Search
Resource-management tasks in modern operating and distributed systems continue to rely primarily on hand-designed heuristics for tasks such as scheduling, cachi...