Tech Xplore on MSN
Deep AI training gets more stable by predicting its own errors
Artificial intelligence now plays Go, paints pictures, and even converses like a human. However, there remains a decisive difference: AI requires far more electricity than the human brain to operate.
An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...
Ericsson offered a measured view of AI’s impact on telecoms at MWC: fiber may lead the telco boom today, but AI will shift through the mid-cycle 5G evolution in AI-RAN.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results