A new technical blog series by an unnamed author provides a roofline-to-reality performance analysis of DeepSeek-V3, a mixture-of-experts transformer model recently added to MLPerf 6.0 as a large-scal…
On June 12, 2026, Artificial Analysis, in collaboration with NVIDIA, released AA-AgentPerf, a benchmark that introduces 'Agents per Megawatt' as a primary metric for agentic AI hardware performance. I…
ANEForge, a new open-source Python package, compiles tensor graphs directly into programs for the Apple Neural Engine (ANE) and runs them without CoreML, enabling both inference and training on the ch…
MLCommons added an Agentic Inference benchmark to MLPerf on July 8, 2026, measuring how LLM serving systems handle multi-turn agent tasks with growing context and tool use. The benchmark uses 490 codi…
CoreWeave stock fell nearly 10% to $89 on July 1, 2026, as investors questioned AI spending durability despite the company reporting $2.08 billion in quarterly revenue, a 112% year-over-year increase.…
Fraud rings evade traditional machine learning models like XGBoost because they analyze individual rows rather than relationships between entities. Graph Neural Networks (GNNs) detect coordinated frau…
NVIDIA swept MLPerf Training v6.0 benchmarks, achieving the fastest training times at scale and highest per-accelerator performance across all tests, including new DeepSeek-V3 and GPT-OSS-20B workload…
Researchers have developed $E^3$-Agent, an executable and evolving agent for managing edge artificial intelligence resource allocation that adapts to unknown and time-varying performance conditions. T…