MiniMax M2.7 Testing Shows Benchmark Wins & Major Cost Savings

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

New MLPerf Storage v1.0 Benchmark Results Show Storage Systems Play a Critical Role in AI Model Training Performance

SAN FRANCISCO--(BUSINESS WIRE)--Today, MLCommons ® announced results for its industry-standard MLPerf ® Storage v1.0 benchmark suite, which is designed to measure the performance of storage systems ...

Fractal Launches PiEvolve, an Evolutionary Agentic Engine for Autonomous Machine Learning and Scientific Discovery

Fractal ( a publicly listed global enterprise AI company serving Fortune 500® organizations, today announced the launch of ...
International Monetary Fund

Mending the Crystal Ball: Enhanced Inflation Forecasts with Machine Learning

Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting ...