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[2506.16313] Improved Exploration in GFlownets via Enhanced Epistemic Neural Networks

[Submitted on 19 Jun 2025 (v1), last revised 22 Oct 2025 (this version, v2)] View a PDF of the paper titled Improved Exploration in GFlownets via Enhanced Epistemic Neural Networks, by Sajan Muhammad and 1 other authors View PDF Abstract:Efficiently identifying the right trajectories for training remains an open problem in GFlowNets. To address this, it is essential to prioritize …

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Joint Amortization for Bayesian Inference and Active Data Acquisition

[Submitted on 8 Jun 2025 (v1), last revised 21 Oct 2025 (this version, v2)] View a PDF of the paper titled ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition, by Daolang Huang and 4 other authors View PDF HTML (experimental) Abstract:Many critical applications, from autonomous scientific discovery to personalized medicine, demand systems that can both strategically acquire the …

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AI’s financial blind spot: Why long-term success depends on cost transparency

Presented by Apptio, an IBM company When a technology with revolutionary potential comes on the scene, it’s easy for companies to let enthusiasm outpace fiscal discipline. Bean counting can seem short-sighted in the face of exciting opportunities for business transformation and competitive dominance. But money is always an object. And when the tech is AI, those beans can add up …

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Return of the Human-Crafted Layer in Deep Learning

[Submitted on 13 Oct 2025 (v1), last revised 17 Oct 2025 (this version, v2)] View a PDF of the paper titled Deep Edge Filter: Return of the Human-Crafted Layer in Deep Learning, by Dongkwan Lee and 2 other authors View PDF Abstract:We introduce the Deep Edge Filter, a novel approach that applies high-pass filtering to deep neural network features to …

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Abstract or die: Why AI enterprises can't afford rigid vector stacks

Vector databases (DBs), once specialist research instruments, have become widely used infrastructure in just a few years. They power today's semantic search, recommendation engines, anti-fraud measures and gen AI applications across industries. There are a deluge of options: PostgreSQL with pgvector, MySQL HeatWave, DuckDB VSS, SQLite VSS, Pinecone, Weaviate, Milvus and several others. The riches of choices sound like a …

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WhatsApp changes its terms to bar general purpose chatbots from its platform

Meta-owned chat app WhatsApp changed its business API policy this week to ban general-purpose chatbots from its platform. The move will likely affect WhatsApp-based assistants of companies like OpenAI, Perplexity, Khosla Ventures-backed Luzia, and General Catalyst-backed Poke. The company has added a new section to address “AI providers” in its business API terms, focusing on general-purpose chatbots. The terms, which …

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How I Used Machine Learning to Predict 41% of Project Delays Before They Happened

that happens to every project manager: the stand-up meeting begins and suddenly a critical ticket is blocked, a developer calls in sick,  a dependency slips or a key feature is delayed. In an instant, your carefully planned timeline starts to collapse, and you’re scrambling for solutions. In this article, we’ll explore how a machine learning model predicted 41% of project …

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