AI1 min read
Knowledgator Releases GLiFormer Encoder for JSON Extraction
Knowledgator released GLiFormer, an encoder that extracts nested JSON without generating tokens.
From MarkTechPost
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AI1 min read
Knowledgator released GLiFormer, an encoder that extracts nested JSON without generating tokens.
From MarkTechPost
AI1 min read
MIT researchers created xvr to match patient X-rays with preoperative 3D scans in seconds. The system generates about 1,000 synthetic images per second with sub-millimeter precision.
From MIT News: artificial intelligence
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
Prior Labs released TabPFN-3.5, a tabular foundation model pretrained only on synthetic data that beats Otto's winning solution. The post Prior Labs Releases TabPFN-3.5: A Tabular Foundation Model That Beats the Winning Otto Kaggle Solut...
From MarkTechPost
AI1 min read
Nums AI launched Causilo, a tabular foundation model that ranks first among single models on TabArena for both classification and regression. It features an in-context learning architecture with Apache-2.0 code but requires a separate license for production use.
From MarkTechPost
LLMs1 min read
arXiv:2609.16340v1 Announce Type: new Abstract: Machine translation systems are periodically upgraded to stronger models, but the available preference signal is human post-edits of an older system's outputs, which the newer model may alr...
From arXiv cs.CL
Research1 min read
arXiv:2609.13466v1 Announce Type: new Abstract: Enterprise AI adoption has reached 78% of organizations globally, yet the infrastructure to govern that adoption has not kept pace. This paper identifies and characterizes the attestation d...
From arXiv cs.AI
LLMs1 min read
arXiv:2609.13615v1 Announce Type: new Abstract: For our submission to the WMT26 Creole Language Translation Shared Task, we focus on machine translation (MT) models for Pacific creoles: Tok Pisin, Bislama, and Solomon Pijin, with particu...
From arXiv cs.CL
LLMs1 min read
arXiv:2609.13389v1 Announce Type: new Abstract: Mapping textual specifications into formal representations is essential for ensuring the correctness of protocol designs and implementations. LLM-generated mappings, used for networking sec...
From arXiv cs.CL
Research1 min read
A study of Deep Perturbation Learning (DPL) found it unable to reliably delete data by directly perturbing training images and labels. Corrected implementations failed to meet the direct-deletion criterion on CIFAR-10/ResNet-18, suggesting limitations for machine unlearning.
From arXiv cs.AI
AI1 min read
This tutorial demonstrates GPU acceleration of machine learning workflows using NVIDIA cuML and RAPIDS, showcasing performance benchmarks for common tasks like PCA, K-Means, and model inference. The process includes configuring the GPU environment, benchmarking CPU and GPU implementations, and exploring zero-copy data transfer for optimized execution.
From MarkTechPost
Research1 min read
Google Research has developed ToolGrad, a method for generating training datasets for agents that utilize external tools. This approach uses textual "gradients" to guide tool selection, improving efficiency and reducing the need for large, manually curated datasets.
From Google Research blog
AI1 min read
Kinaxis, a Canadian company, is deploying AI to assist businesses in managing supply chain disruptions. The system leverages machine learning to predict and mitigate risks, improving operational resilience.
From Microsoft AI news
AI1 min read
The MIT Schwarzman College of Computing hosted a weeklong workshop for educators to integrate AI and machine learning into diverse academic disciplines. This initiative aims to equip faculty with the necessary tools and knowledge for teaching AI effectively.
From MIT News: artificial intelligence
LLMs1 min read
Research found that document-level machine translation evaluation, presenting full documents to annotators, yields statistically equivalent scores and rankings compared to segment-level evaluations. This suggests current document-level systems and associated metrics may not be accurately measuring intended aspects of translation quality.
From arXiv cs.CL
AI2 min read
Microsoft Discovery Engine with CLIO achieved higher scores than other agentic harnesses on the Agent’s Last Exam benchmark, demonstrating an adaptive approach to scientific discovery. This platform offers a new way for R&D organizations to explore complex problems through iterative experimentation and learning.
From Microsoft Azure AI blog
Agents1 min read
Amazon SageMaker Feature Store now supports updating individual feature values directly. The new UpdateRecord API allows for efficient, single-call updates to both Standard and In-Memory online stores, optimizing feature management.
From AWS machine learning blog
Research1 min read
This study applies machine learning algorithms to classify power system security levels, utilizing data from contingency scenarios with various preprocessing techniques to improve accuracy.
From arXiv cs.AI
AI1 min read
Microsoft Azure is positioned as a comprehensive platform for enterprise AI adoption, supporting multi-model strategies and integrating infrastructure, data, applications, and agents. This allows organizations to leverage both frontier and specialized models while managing complexity and risk.
From Microsoft Azure AI blog
Research2 min read
Google Research and HHMI Janelia have published a comprehensive map of the male fruit fly brain, containing 166,000 neurons and 125 million synaptic connections. This resource supports research into brain function and neural repair across diverse species.
From Google Research blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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