Researchers introduced Tydra, a hybrid Transformer-State Space Model (SSM) architecture for tabular in-context learning that interleaves attention and SSM layers. Across 30 OpenML datasets, Tydra redu…
Smallest.ai closed a $13 million Series A round, bringing total funding to $21 million, and unveiled its new Hydra model, which splits voice agents into two components: a small, fast speech-to-speech …
Smallest.ai has raised a $13 million Series A led by Seligman Ventures, with participation from Sierra Ventures and 3one4 Capital, to build full-duplex enterprise voice AI that listens and responds in…
Smallest.ai has raised $13 million in Series A funding led by Seligman Ventures, with participation from Sierra Ventures and 3one4 Capital, bringing its total funding to over $21 million. The startup …
The Strudel project has released an open-source sound engine, enabling users to generate music and visuals through code. The engine integrates with Hydra for real-time visual synthesis, as demonstrate…
Hydra, a new open-source routing layer, aims to solve the 'confident liar' problem in AI by using confidence scores to decide whether to pass a response, send it to a human reviewer, or route it to a …
Hydra, a local-first trust control plane for AI, routes each task to the cheapest model that meets a user-defined confidence threshold, running fully offline with no daemon or cloud dependency. The to…
A new framework called HCRMap reduces latency in Mixture-of-Experts models by up to 43.6% in prefill and 43.0% in decode stages compared to Hydra, addressing the expert hotness skew that causes comput…
Researchers propose EntMTP, a training-free scheduler that dynamically adjusts multi-token prediction depth based on local entropy, achieving up to 1.36x speedup over Medusa baselines in LLM inference…
Strands Labs released Simple Strands Agent (SSA), a minimal autonomous coding harness that achieves state-of-the-art results on SWE-Bench Verified, SWE-Bench Pro, and Terminal Bench 2 across 21 models…
The article explains that traditional centralized Security Operations Centers (SOCs) are failing due to latency and data volume, necessitating a shift to distributed, autonomous systems. It introduces…