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Granite.Trust proposes shareable, actionable policies for generative AI applications
A new arXiv paper presents an open-source policy schema and supporting tools intended to let organizations define content rules for generative AI applications and apply them across training, alignment and runtime monitoring.arxiv.orgProduct
Qwen presents Qwen3.8-Flash-Next as an open-weight preview of its next architecture
Qwen describes Qwen3.8-Flash-Next as a multimodal mixture-of-experts model with 125 billion total tokens and 6 billion active parameters, and says it previews architecture planned for Qwen4.qwen.aiInnovation
LUCAID inoshuma 93% concordance mune angangoita wemapapu-cancer pathology kusimbiswa
Preprint inotsanangura LUCAID, agentic multimodal AI system inobatanidza mabasa mapfumbamwe ekenza yemapapu uye inoshuma 93.0% concordance ine nyanzvi-panel referensi chiyero mune inotarisirwa kusimbiswa kwekiriniki.arxiv.orgInnovation
DRRG Inoshandisa Discrete Diffusion ku Iteratively Refine Radiology Reports
Bepa rearXiv rinounza DRRG, discrete-diffusion framework inogadzira mishumo yeradiology kuburikidza neinodzokorora masked-token denoising. Vanyori vanotaura mhedzisiro yakasimba kupfuura nzira dzekuenzanisa paMIC-CXR uye CheXpert Plus pamametric akati wandei, nepo vachishandisa diki-mutauro-modhi decoder.arxiv.orgIndasitiri
Forbes Australia reports Blackbird raises record $1.05 billion fund and shifts AI focus toward deep tech
Blackbird has raised Australia’s largest venture-capital fund, while general partner Samantha Wong says the firm is becoming more cautious about crowded AI applications and expects to invest more in infrastructure, semiconductors and other deep technologies.forbes.com.auInnovation
VisCache Reports Faster Vision-Language Model Inference With Selective Visual Cache Pruning
A new arXiv paper proposes VisCache, a no-training framework that reduces visual KV-cache storage for vision-language models while retaining 19% to 28% of the cache. The authors report speedups of up to 2.35 times, but the results have not been independently validated here.arxiv.orgInnovation
WeMM-Embedding Report Describes Open Multimodal Models for Search and Recommendation
A new technical report introduces WeMM-Embedding, a family of 2B, 4B and 9B models for representing text, images, videos and visual documents in a shared space. The report says the models improve internal WeChat benchmarks and have been deployed across search and recommendation services.arxiv.orgInnovation
Kudzidza Kunowana Maonero-Mutauro Mamodheru Akarova Mode-Kirasi Ceiling mune Mashoma-Shot Adaptation
Chidzidzo chitsva chearXiv chinoshuma kuti kugadzirisa musanganiswa pakati pezvinyorwa nemifananidzo prototypes haisiriyo muganho mukuru pane mashoma-pfuti yemhando yemhando yemutauro. Mukuedza kunotora maseru ekuongorora 4,800, vhezheni-yemahara mutsara probes yakapfuura kunyangwe musanganiswa wakasarudzwa neruzivo-seti.arxiv.orgInnovation
Kudzidza kunotaridza kufambira mberi kwekufamba kwekubatanidza senzira inoenda kune yakasimba yekuona AI
Chidzidzo chitsva chearXiv chichienzanisa chiono cheprimate neakawanda neural-network dhizaini inoshuma kuti mafambiro epasirese emhando dzaive dzakasimba zvakanyanya kana chitarisiko chechinhu chachinja, zvichinongedza kune kufambira mberi kwekubatanidzwa kwekufamba semusimboti usipo weAI ine simba.arxiv.org
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