How to automate the testing of AI agents

One best practice is to model AI agents’ role, workflows, and the user goals they are intended to achieve. Developing end-user personas and evaluating whether AI agents meet their objectives can inform the testing...

DeepSeek-Prover-V2: Bridging the Gap Between Informal and Formal Mathematical Reasoning

While DeepSeek-R1 has significantly advanced AI’s capabilities in informal reasoning, formal mathematical reasoning has remained a challenging task for AI. This is primarily because...

Google’s cheaper, faster TPUs are here, while users of other AI processors face a supply crunch

That doesn’t mean it will be all plain sailing for Google and its TPU customers, though: Myron Xie, a research analyst at SemiAnalysis, warned...

Using AI-powered email classification to accelerate help desk responses

To compare the performance of different models, we use evaluation metrics such as Accuracy: The percentage of total predictions that were correct. Accuracy is highest...

Meta’s SPICE framework pushes AI toward self-learning without human supervision

Anish Nath, practice director at Everest Group, suggested that enterprises would benefit more from frameworks like SPICE by treating them as a training capability,...

Do vector-native databases beat add-ons for AI applications?

Beyond the traditional DB As of mid-2025, developer-favorite database options such as Postgres, MongoDB, and Elasticsearch have rolled in vector support. Microsoft’s SQL Server has...
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Oracle reveals five new features coming to Java

With JDK (Java Development Kit) 24 having just reached general availability, Oracle has given a sneak peek at Java features set to arrive in...
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