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​[[{“value”:” Can a speech enhancer trained only on real noisy recordings cleanly separate speech and noise—without ever seeing paired data? A team of researchers from Brno University of Technology and Johns Hopkins University proposes Unsupervised Speech Enhancement using Data-defined Priors (USE-DDP), a dual-stream encoder–decoder that… Read More »This AI Paper Proposes a Novel Dual-Branch Encoder-Decoder Architecture for Unsupervised Speech Enhancement (SE) Michal Sutter Artificial Intelligence Category – MarkTechPost

​[[{“value”:” What if, instead of re-sampling one agent, you could push Gemini-2.5 Pro to 34.1% on HLE by mixing 12–15 tool-using agents that share notes and stop early? Google Cloud AI Research, with collaborators from MIT, Harvard, and Google DeepMind, introduced TUMIX (Tool-Use Mixture)—a test-time… Read More »Google Proposes TUMIX: Multi-Agent Test-Time Scaling With Tool-Use Mixture Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes directly from code strings—covering GPU kernel latency, program memory usage, and even neural network accuracy and latency—without hand-engineered features. A 300M-parameter encoder–decoder initialized from T5-Gemma achieves strong rank… Read More »Can a Small Language Model Predict Kernel Latency, Memory, and Model Accuracy from Code? A New Regression Language Model (RLM) Says Yes Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Organizations are increasingly integrating generative AI capabilities into their applications to enhance customer experiences, streamline operations, and drive innovation. As generative AI workloads continue to grow in scale and importance, organizations face new challenges in maintaining consistent performance, reliability, and availability of their AI-powered… Read More »Unlock global AI inference scalability using new global cross-Region inference on Amazon Bedrock with Anthropic’s Claude Sonnet 4.5 Melanie Li Artificial Intelligence

​[[{“value”:” Agentic AI applications represent a significant development in enterprise automation, where intelligent agents autonomously execute complex workflows, access sensitive datasets, and make real-time decisions across your organization’s infrastructure. Amazon Bedrock AgentCore accelerates enterprise AI transformation by providing fully managed services that remove infrastructure complexity,… Read More »Secure ingress connectivity to Amazon Bedrock AgentCore Gateway using interface VPC endpoints Dhawalkumar Patel Artificial Intelligence

​Imbalanced datasets are a common challenge in machine learning. Imbalanced datasets are a common challenge in machine learning.  Read More  

​[[{“value”:” Thinking Machines has released Tinker, a Python API that lets researchers and engineers write training loops locally while the platform executes them on managed distributed GPU clusters. The pitch is narrow and technical: keep full control of data, objectives, and optimization steps; hand off… Read More »Thinking Machines Launches Tinker: A Low-Level Training API that Abstracts Distributed LLM Fine-Tuning without Hiding the Knobs Michal Sutter Artificial Intelligence Category – MarkTechPost