Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Organizations must accelerate their learning cycles to keep pace with rapidly improving AI agents, shifting focus from tool adoption to how teams rapidly disseminate knowledge. The SECI model reveals AI excels at combini…
A developer successfully clustered a 128 GB Mac Studio and a 128 GB DGX Spark using the open-source exo framework to run a model requiring 160 GB of memory, but the setup is limited to CPU-only inference on the Spark and…
Shuchen Xue, a researcher specializing in artificial intelligence and machine learning with a focus on generative AI, has published work accessible via Google Scholar. Her research contributes to advancements in AI and m…
Json Zhou, a researcher specializing in robotics and artificial intelligence, has published work spanning algorithms, computer vision, generative AI, and world simulation. His primary focus is on advancing robotics throu…
Haystack users can now monitor their AI applications with OpenTelemetry by exporting traces, logs, and metrics to SigNoz for unified observability dashboards and alerting. The integration requires a SigNoz Cloud account …
CodeRabbit launched Automatic Repository Linking, a feature that automatically detects and links related repositories across an organization using code-level signals such as import graphs and dependency manifests, elimin…
PyTorch's `nn.Linear` module transposes its weight tensor before performing matrix multiplication and addition, as revealed by profiler traces showing an `aten::t` operation that only modifies tensor metadata on the CPU …
SigNoz released a technical guide for monitoring Google Gemini API performance using OpenTelemetry, enabling developers to export logs, traces, and metrics to the SigNoz observability platform. The integration provides r…
Microsoft and SigNoz have released a guide for setting up observability and monitoring for AutoGen AI applications using OpenTelemetry, enabling developers to export logs, traces, and metrics to SigNoz for real-time visi…
Adyen trained a Transaction Foundation Model on 51 trillion tokens using Ray, while Xoople, Criteo, and BMW shared their own scaling AI stories at Anyscale's Ray Day London event. The event highlighted how Ray simplifies…
Amazon Bedrock users can now monitor model performance, latency, error rates, and usage trends by integrating OpenTelemetry with SigNoz. The open-source observability framework exports logs, traces, and metrics from Bedr…
Baseten has released a monitoring and observability integration using OpenTelemetry that exports traces, logs, and metrics to SigNoz, enabling developers to track performance and usage of their AI and LLM applications. T…
Microsoft has released a new monitoring and observability integration for Azure OpenAI that uses OpenTelemetry to export logs, traces, and metrics to SigNoz, enabling developers to track model performance, latency, error…
Aer Lingus is redirecting a significant portion of its IT and change spend toward a unified data platform powered by Databricks, prioritizing data literacy and governance over chasing new AI tools. Chief Digital, Data & …
AWS and Databricks showcased deeper integrations and expanded customer stories at the Data + AI Summit 2026, highlighting how enterprises like Mastercard are using the Databricks Platform on AWS to operationalize AI. The…
Rivian partnered with Databricks to build a governed intelligence layer that supports self-service analytics, natural-language exploration, and AI-powered workflows from a single trusted foundation. The electric vehicle …
Guan Wang, CEO of Sapient Intelligence, claims his researchers trained a 1 billion parameter language model from scratch for approximately $1,500, according to a June 10 VentureBeat report. The model, called HRM Text, is…
A coding implementation on Microsoft SkillOpt demonstrated an instrumented workflow for prompt optimization, including repository setup, model configuration, and a full optimization loop with rollout, reflection, aggrega…
Google AI and Google DeepMind researchers released DiffusionGemma, an experimental 26-billion-parameter Mixture of Experts open model that uses text diffusion to generate entire blocks of text simultaneously, achieving u…
Researchers at Google Research introduced Regularized f-Divergence Kernel Tests, a new framework for auditing machine unlearning that improves sensitivity and accuracy in verifying whether AI models have successfully for…