AI2 min read
Understanding Biotech Health and Real-Time Monitoring
Learn how real-time controls and health monitoring support biotech health applications with OpenSmartRoute's platform and SDK.
From growth-engine
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AI2 min read
Learn how real-time controls and health monitoring support biotech health applications with OpenSmartRoute's platform and SDK.
From growth-engine
Agents2 min read
Abnormal AI utilizes Amazon Bedrock AgentCore Code Interpreter to process billions of email messages in real-time, detecting and blocking threats before they reach inboxes. The system employs a three-tiered architecture with agents dynamically executing code within secure sandboxes to handle complex cases.
From AWS machine learning blog
Photo: Yan Krukau
AI1 min read
A Real World AI Stage fireside chat featuring Ben Lamm, CEO of Colossal Biosciences, explores the intersection of AI, synthetic biology, and the potential for engineering nature’s comeback. The discussion examines the technologies behind de-extinction and the broader implications for biodiversity and conservation.
From TechCrunch AI
Research1 min read
The DU-NO model achieves superior autoregressive rollout error compared to U-FNO, significantly reducing the number of parameters while maintaining accuracy in wave modeling. This design improves performance for ensembles, uncertainty quantification, and real-time forecasting applications.
From arXiv cs.AI
Research1 min read
The BlueLM-GUI system, a 35B model, achieves strong performance on mobile GUI tasks through a real-device training approach. This flywheel system utilizes a multi-stage process of data salvage, real-device rollout, and evolving benchmarks to improve agent capabilities and transfer directly to production environments.
From arXiv cs.AI
Research1 min read
Researchers developed WinSyn, an automated pipeline for generating realistic synthetic datasets of emails simulating enterprise scenarios. Evaluations using standard agentic baselines on these datasets showed aggregate scores below 80%, highlighting the need for more complex evaluation data.
From arXiv cs.AI
LLMs1 min read
For a while, I must admit, it looked as if software developer roles like mine were done for. How could we fight against tireless robots? But our industry is slowly realizing that making truly cutting-edge software still requires humans t...
From Simon Willison
Research1 min read
A new scheduling method reduces tail latency in agentic LLM workflows by strategically releasing turns based on evolving tail risk. Evaluations using real execution traces show significant improvements in workflow flow time under contention.
From arXiv cs.AI
LLMs1 min read
arXiv:2609.11067v1 Announce Type: new Abstract: Large language models are increasingly used as judges to measure social bias in text, yet the passages they judge are often noisy, containing typos, informal spelling, and broken punctuatio...
From arXiv cs.CL
Models1 min read
Google’s Search is integrating Gemini to provide runners with personalized training plans and real-time insights, leveraging AI to optimize running performance. This allows users to access detailed information and guidance directly within the Search interface.
From Google AI blog
LLMs1 min read
StreamAlign enables real-time streaming speech-text alignment through a framework combining RNN-Transducer alignment and word-level ASR guidance. This results in lower latency and improved performance on speech continuation tasks compared to existing methods.
From arXiv cs.CL
LLMs1 min read
X2-NativeCursor is a lightweight observer for incremental-text streaming TTS that tracks progress using native speech tokens, enabling synchronized highlighting and dialogue updates. It achieves significantly lower tracking error compared to waveform-based alignment, improving real-time performance.
From arXiv cs.CL
Agents1 min read
This benchmark compares the performance of Qwen3-Coder-30B and NVIDIA Nemotron-3-Nano-30B across G5, G6, G6e, and G7 GPU instances on SageMaker AI. G7 instances demonstrate price-performance gains for real-time LLM inference.
From AWS machine learning blog
Research1 min read
MaxKernel introduces a multi-agent system for designing high-performance TPU kernels, leveraging LLMs and real-time compiler feedback. It includes human-in-the-loop, autonomous, and graph-based search paradigms.
From arXiv cs.AI
Research1 min read
The $ au^ au$-bench evaluates agent building from real business data, requirements, and APIs, measuring performance across multiple tasks to reflect real client engagement conditions.
From arXiv cs.AI
Agents1 min read
A multimodal WhatsApp ordering assistant was deployed using Amazon Bedrock AgentCore and Amazon Nova 2, supporting text, voice notes, and real-time voice calls on a single business number.
From AWS machine learning blog
Agents1 min read
Muse Spark 1.3 matches GPT-5.6-Sol, offering near-frontier performance at a significantly reduced training cost (over 90% discount). This release focuses on coding and agentic work, with open-weights availability planned.
From Latent Space
LLMs3 min read
Anthropic publish the system prompts for their Claude consumer applications (Claude.ai and the Claude mobile apps - sadly not for Claude Cowork or Claude Code). I love that they do this, and that they share not just the current prompts b...
From Simon Willison
LLMs1 min read
IBM has integrated time series models with Confluent for real-time intelligence, enabling continuous data processing and analysis.
From Hugging Face blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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