The Archive

AI agents offer remarkable productivity gains in complex chip design workflows, but their tendency to generate plausible yet incorrect artifacts makes... AI agents offer remarkable productivity gains in complex chip design workflows, but their tendency to generate plausible yet incorrect artifacts makes reliability a major barrier to production adoption. In multistage engineering workflows, an undetected error early in setup can silently propagate through downstream stages and final artifact generation. Evaluating and refining these agents against… Source

Floqer is an autonomous customer knowledge platform that provides business-to-business sales and marketing teams with an AI-powered database designed to continuously collect, organize, and update the information used to understand their customers. Floqer is pitching Wednesday on the Startup Battlefield stage at TechCrunch Disrupt 2026. The startup told TechCrunch ahead of the presentation that it […]

OpenAI's Amp platform enables AI agents to perform non-coding tasks using GPT-6 Astra and related models.

LAGO meta-agent framework treats specialized agents as reusable options; resolves 58.6% of SWE-bench tasks with frozen Qwen3.5-35B.

EGCForest multi-view hierarchical memory framework organizes enterprise chat logs for reliable cross-thread evidence retrieval by agents.

WebKD enables distillation of closed-model web agents into smaller open models by having teachers correct student failures in-context rather than offline.

JointServe optimizes multi-model agent serving on memory-constrained GPUs via weight shard and KV block residency management without full model swapping.

ReproBAIT benchmark evaluates coding agents' ability to reconstruct biological AI tools from limited descriptions without internet access.

Decentralized active-inference agents per HVAC zone minimize expected free energy without inter-agent communication for multi-zone control.

Benchmark comparing 10 self-distillation methods in agentic RL under unified conditions, revealing training stability and computational cost trade-offs often obscured in prior work.

PRISMATIC multi-agent architecture coordinates specialized medical agents on blackboard system to reduce prescribing errors for multimorbid patients.

TIMERSI deploys time-series foundation models as self-improving agentic systems using coding agents to refine pipelines on historical data without retraining.

Discovers behavior transfer in multi-session LLM agents: recipients adopt reasoning patterns from prior model histories; proposes DASH summarization to mitigate.

Third Moment Research deploys 10,000 agents for 36+ hour runs using GPT-6 Astra, Sol, Codex, and Daybreak for cybersecurity tasks with persistent improvement.

Dyna Robotics unveils Dyna-2, a physical agent with hour-long autonomy using World Action Models for robotic control.

Enterprise applications have become increasingly demanding. Agentic AI has compounded the need for vast amounts of enterprise data with frequent, complex... Enterprise applications have become increasingly demanding. Agentic AI has compounded the need for vast amounts of enterprise data with frequent, complex queries across increasingly large datasets. Meeting that demand requires greater data throughput without a proportional increase in cost. NVIDIA cuDF addresses this challenge by leveraging the massive parallelism and high-bandwidth memory of… Source

CANADA - 2025/07/20: In this photo illustration, the Shopify logo is seen displayed on a smartphone screen. (Photo Illustration by Thomas Fuller/SOPA Images/LightRocket via Getty Images) More AI agents will soon be able to browse and purchase from Shopify listings, marking an expansion of the company's agentic commerce ambitions. Shopify announced Tuesday it will let shoppers configure their AI agents to purchase products on their behalf, giving more agents access to over a billion listings in Shopify's catalog. (The catalog consists of both items on and off Shopify storefronts.) In September...

Hybrid Reasoning Agents dynamically switch between latent and text reasoning via HybridLink for efficient internal computation with external tool access.

RoboSimStudio interactive toolkit enables humans and agents to iteratively refine physics simulations for robot manipulation via real2sim.

Framework for self-evolving agents that revise prompts, memory, workflows, and code while keeping model weights fixed via feedback-driven optimization.

SkillScaffold enables LLM-based agents to learn skills via agentic RL with policy-adaptive credit assignment and selective skill injection.

SEAR framework demonstrates language-model agents autonomously improving robot control via code-as-policy and skill persistence across sim-to-real transfer.

CarryOn organizes long-horizon agent context around reusable task objects instead of interaction histories, reducing redundant processing.

University of Michigan spinout Laplace Intelligence uses AI agents and interactive simulation to stress-test robots and self-driving vehicles before deployment. The profitable startup is competing at TechCrunch Disrupt's Startup Battlefield.

Grounding Awareness enables personal agents to distinguish accepted vs. unacknowledged user arrangements, addressing memory-action alignment in multi-turn interactions.

LLM agents fail to load relevant skills at scale: implicit routing over skill metadata causes skill-load recall to collapse from 73.6% to 27.4% with 1,000 irrelevant skills.

Computer Use Agents lack information-flow security against indirect prompt injection due to visual interface ambiguity; proposes structured threat model.

Empirical study on coding agents' ability to digitize clinical trial protocols from unstructured PDFs into structured machine-readable data.

Analysis of tool-call judges' derivation gap: LLM agents' proposed argument values are rejected more often when absent from reference text.