MiniMax M2.7 fully tested as an agentic AI model, showing 30% autonomous self-improvement after 100+ self-training rounds.

The results, drawn from thousands of spontaneous voice conversations across more than 60 languages, reveal capability gaps that other benchmarks have consistently missed.

Image-2, a text-to-image model ranking third on the Arena leaderboard, but daily caps and square-only output limit its appeal.

Traders Union has launched the TU 77 Crypto Index, a new benchmark tracking 77 leading cryptocurrencies to provide a ...

According to eMarketer and TransUnion’s study, The True Cost of Trust in Marketing Measurement, more than half of marketers ...

Reveals key productivity benchmarks, workforce trends, and actionable insights to help enterprises optimize performance ...

CareCloud will host an evening networking event during the HFMA Revenue Cycle Conference, bringing together revenue cycle professionals, MAP App users, and MAP Award participants for an evening of ...

New research from the University of Waterloo shows that artificial intelligence (AI) still struggles with some basic software development tasks, raising questions about how reliably AI systems ...

AI-focused accounting ERP provider DualEntry tested some of the most popular AI models on various accounting workflows and found that, at best, they're 77.3% accurate.

Two risks, Sorena says, are converging “In compliance, the failure mode is not always obvious nonsense,” a Sorena AI spokesperson said. “It is partial work that sounds complete, or an agent that ...

In traditional software, a unit test passes, or it fails. Binary. Simple. If input equals two plus two, output equals four. If it returns five, you block the deploy. Generative AI is probabilistic. It ...