Courting enterprise AI developers, a new San Francisco-based company has unveiled a machine learning debugging and visualization platform.

Peter Norvig, who wrote the most widely used AI textbook, explains what machine-learning systems need to catch up with traditional programming.

Where traditional debugging solutions focus on debugging logical bugs in a single process application -- Lightrun extends shift-left observability to Python developers whose machine learning ...

Debugging a machine learning process is too hard because machines do the work themselves. If someone hand codes an algorithm, it is way easier to debug issues with that.

Has anyone managed to do this yet?I have some assemblies I would liek to debug (Sharepoint WebParts if it matters).They are not runnable on my local box, the development box is a w2k3 server ...

Leveraging industry-standard practices and our decades of expertise, the latest offering of Synopsys VC SpyGlass Lint now includes powerful ML capabilities to significantly improve debug efficiency ...

The TimeMachine 4-D debugger provides developers with visibility into an application's behavior both forward and backward in time, according to Green Hills, Inc., giving developers the ability to run ...

Before Galileo launched six months ago, there was not a tool on the market for debugging and fixing unstructured data during the ML workflow so data scientists spent a vast majority of their time ...

The linker is telling you that it can't find the function _WinMain@16. I think that function is found somewhere in one of the msvcr80.lib files or similar. If you are dealing with managed programs ...