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Models, products and AI startups, near-duplicates collapsed to the most credible source

Real fly connectome failed to learn Pong; audit reveals issues

A researcher tried to train a subgraph of the MaleCNS v1.0 fly connectome to learn Pong but observed no learning. An audit uncovered issues: a neuPrint regex bug zeroed two neuron populations, the initial neuron selection lacked paths from photoreceptors, and half the motor neurons had zero sensory synapses. Rebuilding and tracing found a different descending neuron that actually connected end-to-end, illustrating how failures revealed critical data and selection errors.

r/MachineLearning ·

Thread: ICDE results discussion

A Reddit user posted a thread on r/MachineLearning inviting the community to share and discuss ICDE results ahead of the announcement; the post was submitted by an anonymous account.

r/MachineLearning ·

embedflow enables embedding model migration without re-embedding

The author released embedflow, a method and tool to migrate embedding models by reranking K documents from the old index instead of re-embedding the entire corpus. Tested on up to 1M documents across 63 migrations; best result was qwen4b→qwen8b matching native retrieval with K=50. embedflow supports qdrant, pgvector, and faiss and is available on PyPI and GitHub.

r/MachineLearning ·

OpenAI launches Agents API

OpenAI released the Agents API, a managed service powered by the Codex harness for orchestration that enables building and launching cloud agents with long-running sessions and tool use, simplifying development and deployment of agent-based applications.

OpenAI ·

Rebuilding AUTOMATIC1111 with Gradio

Hugging Face rebuilt most of AUTOMATIC1111 as Workflow1111, a single Gradio workflow with 11 media pipelines and 73 nodes covering text-to-image, hi-res fix, image-to-image, ControlNet-style annotators and more; users run pipelines with their Hugging Face account or access token and use their own quota.

Hugging Face Blog ·

Using AI in healthcare

WSAW published a report on using artificial intelligence in healthcare, covering discussions of AI applications and impacts in clinical or health services.

WSAW ·

AI evolution in oncology

The piece reviews AI's evolution in oncology, assessing its effects on trials, clinical workflows, and patient outcomes, and highlights how AI is changing cancer care practice.

CancerNetwork ·
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