Latest

About Atomicwork Atomicwork is an agentic service management platform that helps businesses automate IT, HR, and workplace support, enabling employees to solve issues faster, work smarter, and stay productive. Built AI-native, Atomicwork combines intelligent agents, adaptive workflows, and enterprise-grade governance to deliver proactive support right in the flow of work.

Large‑language models (LLMs) already draft contracts, triage medical claims, and screen résumés. Every one of those tasks is laced with ethical choices, yet most benchmarks still judge models on math puzzles or multiple‑choice trivia. The authors of the paper “Auditing the Ethical Logic of Generative AI Models” step

Use of Artificial Intelligence in Human Resources is reducing administrative load by automating routine tasks such as hiring and resolving employee queries, freeing HR teams to focus on people-centric initiatives. The applications of AI span every stage of the HR workflows, including: * Sourcing candidates from large talent pools * Screening thousands

This week at Maxim, we’ve rolled out some powerful updates focused on dynamic scripting, enhanced LLM flexibility, and deeper error visibility across our SDKs and libraries. Script-Driven Variables in Evaluations Evaluations just got a whole lot smarter! All variables defined via custom scripts are now surfaced directly in workflow

Communication protocols play a crucial role in enabling seamless interactions between different systems. Google's recently published Agent to Agent Protocol (A2A) represents a significant advancement in this space, designed specifically to facilitate collaborative scenarios between autonomous agents. What is A2A? The protocol is an open specification that enables

Introduction In the realm of AI, especially with large language models, the prevailing belief is that complex reasoning tasks require detailed, step-by-step "thinking" processes. These processes often involve generating extensive intermediate steps before arriving at a solution, consuming significant computational resources. However, the paper titled "Reasoning Models

Introduction Healthcare assistants are changing the way patients and clinicians interact. For patients, these tools offer easy access to timely advice and guidance, improving overall care and satisfaction. For clinicians, they reduce administrative tasks, allowing more time for patient care while providing real-time knowledge and data to support informed decision-making.