Is China about to win the AI race?
finance.yahoo.com·18h
🦀Rust
Flag this post
Common Ground Between AI 2027 and AI as Normal Technology
asteriskmag.substack.com·14h·
Discuss: Substack
🦀Rust
Flag this post
Exclusive | How a Chinese AI Company Worked Around U.S. Rules to Access Nvidia’s Top Chips - WSJ - The Wall Street Journal
news.google.com·10h
🦀Rust
Flag this post
Tech With Tim: 7 Python Anti Patterns to Avoid
dev.to·16h·
Discuss: DEV
🦀Rust
Flag this post
Toward the Frontiers of Reliable Diffusion Sampling via Adversarial Sinkhorn Attention Guidance
arxiv.org·1d
🦀Rust
Flag this post
3D-TDA - Topological feature extraction from 3D images for Alzheimer's disease classification
arxiv.org·7h
🦀Rust
Flag this post
Partial Action Replacement: Tackling Distribution Shift in Offline MARL
arxiv.org·1d
🦀Rust
Flag this post
Rethinking Explanation Evaluation under the Retraining Scheme
arxiv.org·1d
🦀Rust
Flag this post
EVADE: LLM-Based Explanation Generation and Validation for Error Detection in NLI
arxiv.org·7h
🦀Rust
Flag this post
DiagnoLLM: A Hybrid Bayesian Neural Language Framework for Interpretable Disease Diagnosis
arxiv.org·2d
🦀Rust
Flag this post
SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction
arxiv.org·2d
🦀Rust
Flag this post
🚨 Meta just dropped a breakthrough that could change how AI agents learn forever.
threadreaderapp.com·3d
🍳Cooking
Flag this post
How AI Fails: An Interactive Pedagogical Tool for Demonstrating Dialectal Bias in Automated Toxicity Models
arxiv.org·2d
🦀Rust
Flag this post
Expand Your SCOPE: Semantic Cognition over Potential-Based Exploration for Embodied Visual Navigation
arxiv.org·7h
🦀Rust
Flag this post
To use ai to generate to your code or to code it manually that is the question?
reddit.com·3d·
🦀Rust
Flag this post
Appian Launches New AI Capabilities To Automate Complex Work & Accelerate App Modernisation
prnewswire.com·1d
🦀Rust
Flag this post
AI's Cost: Human Displacement and Environmental Destruction
dev.to·3d·
Discuss: DEV
🦀Rust
Flag this post
Assessing the Capabilities of LLMs in Humor:A Multi-dimensional Analysis of Oogiri Generation and Evaluation
arxiv.org·7h
🦀Rust
Flag this post