Amazon Echo Studio (2025) review: A comprehensive redesign for Alexa+
engadget.com·10h
🎧Learned Audio
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Analogue computers could train AI 1000 times faster and cut energy use
newscientist.com·12h
🕹️Hardware Emulation
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Amazon Nova Multimodal Embeddings: State-of-the-art embedding model for agentic RAG and semantic search
aws.amazon.com·1d·
Discuss: Hacker News
🧮Vector Embeddings
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Show HN: Front End Fuzzy and Substring and Prefix Search
github.com·18h·
Discuss: Hacker News
🌳Trie Structures
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**Content-based Filtering VS Collaborative Filtering: A Netf
dev.to·5h·
Discuss: DEV
🎛️Feed Filtering
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Enhanced Predictive Modeling of Brazil Nut Effect Distribution via Dynamic Network Rescaling
dev.to·12h·
Discuss: DEV
🔲Cellular Automata
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Self-diffusion for Solving Inverse Problems
arxiv.org·2d
🌀Riemannian Computing
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Generative Large Language Models (gLLMs) in Content Analysis: A Practical Guide for Communication Research
arxiv.org·20h
📰RSS Archaeology
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Algorithmic Choreography: Generative Sonic Landscapes via Neural Field Synthesis
dev.to·4d·
Discuss: DEV
🎧Learned Audio
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FlowCapX: Physics-Grounded Flow Capture with Long-Term Consistency
arxiv.org·1d
⚙️Cassette Mechanics
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A Novel Framework for Multi-Modal Protein Representation Learning
arxiv.org·1d
🧠Machine Learning
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Brain-tuning Improves Generalizability and Efficiency of Brain Alignment in Speech Models
arxiv.org·2d
🧠Intelligence Compression
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M-CIF: Multi-Scale Alignment For CIF-Based Non-Autoregressive ASR
arxiv.org·1d
🎙️Whisper
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Emotion-Coherent Reasoning for Multimodal LLMs via Emotional Rationale Verifier
arxiv.org·1d
🎯Dependent Parsing
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The Reasoning Trap: How Enhancing LLM Reasoning Amplifies Tool Hallucination
arxiv.org·1d
📏Linear Logic
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Discovering Heuristics with Large Language Models (LLMs) for Mixed-Integer Programs: Single-Machine Scheduling
arxiv.org·20h
🧮SMT Solvers
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Part 1: Training a Neural Network to Detect Coffee First Crack from Audio - An Agentic Development Journey with Warp
dev.to·2d·
Discuss: DEV
🔍FLAC Forensics
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REVE: A Foundation Model for EEG -- Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects
arxiv.org·2d
🧠Learned Codecs
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