Tag
A hospital staff member reflects on the real-world impact of an AI alert system for sepsis and deterioration, noting that false alarms lead to desensitization and that even good models struggle if not integrated into clinical workflow.
A blog post implementing the Extended Connectivity Fingerprint (ECFP) in APL, with references to the original Rogers and Hahn paper and several other resources.
Jolt is a new Clojure implementation targeting Chez Scheme, aiming to provide a drop-in replacement with fast startup and low memory footprint, leveraging Chez's JIT and GC to avoid the JVM's overhead.
Tri-Net v2 is an open-source implementation of a Scientific Reports paper for unified skin lesion and symptom-based monkeypox detection.
This paper presents a formally grounded ODRL evaluator with transparent semantics, supporting all rule types, and compares its performance with existing evaluators, addressing interoperability issues in policy modelling for data access and AI governance.
Anthropic and Blackstone launch Ode, a $1.5-billion AI implementation joint venture, betting that helping enterprises deploy AI models is the next trillion-dollar opportunity. Ode will focus on custom AI systems and work with Anthropic's Claude technology.
This post builds a complete, accelerated tensor library from scratch in C, explaining the concept of tensors and their operations.
Matt Pocock clarifies the intended workflow for /wayfinder, emphasizing the flow from /wayfinder to /to-spec to /to-tickets to /implement for coding projects, and notes that v1.2 is in development.
A step-by-step annotated implementation and explanation of Joint Embedding Predictive Architectures (JEPA) for self-supervised learning, covering I-JEPA, V-JEPA, and LeJEPA.
AI agents often fail in production because they lack access to real business data, internal docs, and live customer context. To succeed, they need actual content, live data integration, clear handoffs, and human oversight.
This article evaluates whether GLM 5.2 is suitable for production use by testing it on a complex multi-file computer vision implementation task.
A blog post tutorial on building AI agents from scratch in Python, seeking community feedback.
An article exploring the implementation of convolutional neural networks using the APL programming language, from 2019.
A tweet promoting TensorTonic, a platform that allows users to practice implementing nine common activation functions (Sigmoid, ReLU, Tanh, Softmax, Leaky ReLU, GELU, Swish, ELU, SELU) from scratch, including forward pass and gradient computation.
A curated collection of GNN papers, datasets, and implementation tools, hosted on GitHub.
A post aimed at agent builders, offering tips or tools to improve existing implementations.
The author describes implementing a biologically plausible neural network training algorithm proposed by Geoffrey Hinton.
A minimal, hackable CUDA implementation of a GPT-like transformer language model that processes byte sequences, with sample outputs and build instructions.
An agency founder shares lessons from 50+ AI automation implementations, highlighting that most fail due to broken underlying processes, lack of internal ownership, and over-engineering, while the most successful automations are simple, focused, and backed by a named client-side owner.
A tweet highlighting the necessity of auditing current operations before AI transformation, promoting Varick Agents' audit-first approach for higher implementation success.