TradeSmith has unveiled an AI-powered trading system that, in six years of backtesting, delivered a 54% compounded annual return versus the S&P 500's 15%. The system uses machine learning to identify ...
Recent research is advancing seismic hazard modeling through AI-driven soil liquefaction prediction, interpretable machine learning, physics-based simulations, and waveform-based probabilistic ...
The 2026 NFL Draft kicks off tonight in Pittsburgh, and if you believe what Kalshi traders have been saying, the question ...
For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...
Artificial intelligence has moved from the back office to the witness stand, becoming the foundation for expert testimony and ...
Forecasting company Amperon has launched a new AI-based short-term probabilistic forecasting tool for solar and wind ...
As Anthropic’s Mythos signals a shift to unprecedented machine-speed vulnerability discovery, EPSS is gaining renewed ...
Letting probabilistic AI models autonomously operate inside production networks creates real safety and auditability issues, and that core security validation still needs deterministic guardrails. And ...
Artificial intelligence has moved rapidly from academic research into industrial practice, but its adoption in nuclear engineering remains under cautious review. This reticence is not ideological but ...
As foundation models, including large language models and multimodal models, are increasingly deployed in complex and high-stakes settings, ensuring their safety has become more important than ever.
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