Fortress addresses prediction instability in search and recommendation models and improves accuracy through temporal data augmentation and Feature Pruning.
The paper proposes four improvements to address the loss of positional information that occurs when AED models process long audio.
This work proposes APM models that learn internal safety policies from data annotators' labeling behavior and analyze the causes of disagreement.
This introduces the TopoPrimer framework, which improves forecasting accuracy by leveraging the global topological structure of time-series data as an input.
Google is testing a dedicated Inbox feature that lets users manage Gmail messages directly within the Gemini app, accelerating the buildout of an AI agent-centered workspace.
The performance of AI agents is determined not by the model itself, but by how the 'harness'—the loop that drives the model—is designed.
A Gap Map has been released that analyzes the current state of the open source AI stack and highlights points where development collaboration and investment are needed.
It explains the hardware setup and Docker configuration needed to run SOTA LLMs and STT models in a local environment.
Using Stewart Brand's Pace Layers framework to analyze the structure of the AI ecosystem, where change happens at vastly different speeds.
There is skepticism that SpaceX and Meta selling off compute resources signals the end of the compute shortage, but this is more likely a matter of short-term contracts and each company optimizing its own model mix.
It covers technical approaches to lower and automate verification costs in order to guarantee the performance of AI agents.
Alibaba has banned the use of Anthropic's programming tool Claude Code citing security risks and instructed employees to use its own tool instead.
ByteDance is set to soon launch Seedance 2.5, an AI model that supports creating videos up to 3 minutes long.
We propose PathMoE, which constrains the expert paths that tokens traverse to improve the efficiency and performance of MoE models.
This work proposes a method that improves the efficiency and accuracy of ASR error correction by leveraging a seq2seq model lighter than an LLM.
A Continuous Diffusion-based speech model was shown to follow scaling laws while demonstrating potential for efficient inference.
Hugging Face announced a major update to the Kernels project for packaging, distributing, and securing custom kernels.
The structural quality of code maintains AI agents' task success rate while improving token usage and exploration efficiency.
An 800M-parameter model that summarizes coding agents' complex reasoning traces into structured JSON format has been released.
An ultra-lightweight 51M-parameter routing model that selects the appropriate model based on user requests has been released.
Meta CEO Mark Zuckerberg noted that AI agent development is slower than anticipated, hinting at expanded infrastructure investment.
Sajo Systems built an Agentic AI that analyzes ERP data and provides insights using the Strands Agents SDK and Kiro.
The LongCat 2.0 model, with 1.6T parameters, has been open-sourced under the MIT license.
Miricanvas resolved the stored fields bottleneck and optimized search performance by upgrading to Amazon OpenSearch 3.3.
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