Stories
23
Sources
3
Topics
3
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3
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0
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5
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107
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Lead Story
arXiv paper: Deep Learning-Based Detection of Electrical Faults and Power Quality Disturbances in Aerospace Power Systems
A new arXiv AI paper by Ian C. Guzmán, Radu Babiceanu, and Berker Peköz studies Deep Learning-Based Detection of Electrical Faults and Power Quality Disturbances in Aerospace Power Systems.
Bloomberg AI / 3:08 AM
Andreessen-Backed AI Startup Gimlet Is Valued at $3 Billion in New Round
The company, which helps divide AI tasks among different chips, raised $300 million in its latest round
The Decoder / 12:18 PM
The Fed wants AI investor Marc Andreessen to help figure out if AI can tame inflation
Fed Chair Kevin Warsh has appointed venture capitalist Marc Andreessen to advise the Federal Reserve on AI's economic impact. Warsh views AI as a "significant disinflationary force," but Andreessen's firm Andreessen Horowitz is heavily invested in AI companies, raising conflict-of-interest questions. The article The Fed wants AI investor Marc Andreessen to help figure out if AI can tame inflation appeared first on The Decoder .
Bloomberg AI / 3:21 PM
Andreessen Horowitz Raises $1.1 Billion for AI Infrastructure Fund
Prominent venture capital firm Andreessen Horowitz says it has raised $1.1 billion for its newest artificial intelligence infrastructure fund.
arXiv AI/ML / 5:12 PM
arXiv paper: UltraPIPS: Improving model perception in B-mode ultrasound with foundation models
A new arXiv AI paper by Tal Grutman and Tali Ilovitsh studies UltraPIPS: Improving model perception in B-mode ultrasound with foundation models.
arXiv AI/ML / 5:50 PM
arXiv paper: TurboBias 2.0: Streaming Context-Biasing for Production-Efficient ASR Systems
A new arXiv AI paper by Vladimir Bataev, Lilit Grigoryan, and Andrei Andrusenko, and 3 more studies TurboBias 2.0: Streaming Context-Biasing for Production-Efficient ASR Systems.
arXiv AI/ML / 5:58 PM
arXiv paper: $TCP_α$: Margin-Controlled Confidence estimation for reliable Music Information Retrieval
A new arXiv AI paper by Parampreet Singh, Anushka Singh, and Sumit Kumar, and 1 more studies $TCP_α$: Margin-Controlled Confidence estimation for reliable Music Information Retrieval.
arXiv AI/ML / 5:48 PM
arXiv paper: Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction
A new arXiv AI paper by Veronika Spieker, Wenqi Huang, and Cemre Ariyurek, and 5 more studies Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction.
arXiv AI/ML / 5:31 PM
arXiv paper: Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors
A new arXiv AI paper by Mahdi Saberi, Yaşar Utku Alçalar, and Merve Gülle, and 2 more studies Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors.
Bloomberg AI / 12:00 PM
Andreessen Horowitz, Tiger Global Back Yuno’s $45 Million Round
Yuno, a Colombian-founded payments infrastructure startup that helps companies process transactions across different markets, said it raised $45 million in a Series B round as it seeks to expand its global network and move toward profitability.
arXiv AI/ML / 5:28 PM
arXiv paper: RIS-Aided mmWave Localization Under Cross-Link Interference via Beam-Domain ML Fingerprinting
A new arXiv AI paper by Md Tarek Hassan, Dmitry Zelenchuk, and Muhammad Ali Babar Abbasi studies RIS-Aided mmWave Localization Under Cross-Link Interference via Beam-Domain ML Fingerprinting.
arXiv AI/ML / 5:56 PM
arXiv paper: Teaching Nemotron Greek: Mining a Corpus, Adapting Retrieval, and Grounding Generation for Modern Greek across Specialist Domains
A new arXiv AI paper by Ayoub Kirouane and Christos Petrocheilos studies Teaching Nemotron Greek: Mining a Corpus, Adapting Retrieval, and Grounding Generation for Modern Greek across Specialist Domains.
arXiv AI/ML / 5:50 PM
arXiv paper: Chained Recursive Language Models for Multi-Iteration Reasoning
A new arXiv AI paper by Purbesh Mitra and Sennur Ulukus studies Chained Recursive Language Models for Multi-Iteration Reasoning.
arXiv AI/ML / 5:27 PM
arXiv paper: Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes
A new arXiv AI paper by Athanasios Papastathopoulos-Katsaros, Steven T. Lee, and Lin Yao, and 4 more studies Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes.
arXiv AI/ML / 5:18 PM
arXiv paper: From Distances to Trajectories: Real-Time Signed Distance Function Mapping and Distance-Accelerated Motion Planning for UAVs
A new arXiv AI paper by Jason Stanley, Zhirui Dai, and Qihao Qian, and 6 more studies From Distances to Trajectories: Real-Time Signed Distance Function Mapping and Distance-Accelerated Motion Planning for UAVs.
arXiv AI/ML / 5:59 PM
arXiv paper: Do AI Agents Know When a Task Is Simple? Toward Complexity-Aware Reasoning and Execution
A new arXiv AI paper by Junjie Yin and Xinyu Feng studies Do AI Agents Know When a Task Is Simple? Toward Complexity-Aware Reasoning and Execution.
arXiv AI/ML / 4:10 PM
arXiv paper: Exact and Calibrated Diffusion Reconstruction for Digital Breast Tomosynthesis
A new arXiv AI paper by Imade Bouftini studies Exact and Calibrated Diffusion Reconstruction for Digital Breast Tomosynthesis.
arXiv AI/ML / 5:59 PM
arXiv paper: PHINN-EEG: Topological Time-Series Analysis of Dream-State EEG -- Dynamic Betti Curves for Dream Content Classification and Topology-Conditioned Neural Signal Synthesis
A new arXiv AI paper by Ren Takahashi, Emre Yusuf, and Jayabrata Bhaduri studies PHINN-EEG: Topological Time-Series Analysis of Dream-State EEG -- Dynamic Betti Curves for Dream Content Classification and Topology-Conditioned Neural Signal Synthesis.
arXiv AI/ML / 4:49 PM
arXiv paper: Characterization of the basin of convexity for multi-snapshot spike deconvolution via variable projection
A new arXiv AI paper by Meghna Kalra, Maxime Ferreira Da Costa, and Kiryung Lee studies Characterization of the basin of convexity for multi-snapshot spike deconvolution via variable projection.
arXiv AI/ML / 5:26 PM
arXiv paper: Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems
A new arXiv AI paper by Emmanouil Kavvousanos, Francky Catthoor, and Vassilis Paliouras studies Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems.
arXiv AI/ML / 5:43 PM
arXiv paper: Audio-Based Understanding of Audiobook Narration Appeal
A new arXiv AI paper by Shahar Elisha, Mariano Beguerisse-Díaz, and Emmanouil Benetos studies Audio-Based Understanding of Audiobook Narration Appeal.
Latest story in this edition: 5:19 PM
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