News

I raised $3 million for my AI startup as a full-time Yale student. Here's how I manage my time so I can do both.

Nathaneo Johnson co-founded Series while studying full-time at Yale. It raised $3.1m in pre-seed funding. He's disciplined, ...
IEEE8d

Explainable AI Framework Using XGBoost With SHAP and LIME for Multi-Scale Household Energy Forecasting

Abstract: Forecasting energy consumption is critical for maximizing resource utilization, lowering operational costs, and increasing sustainability. Traditional machine learning models often function ...
GitHub9d

Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates

Note: Our code has been tested in VS Code. If you run it in PyCharm, there might be path-related issues due to the differences in the path logic between VS Code and PyCharm. The four datasets (METR-LA ...
GitHub11d

Toto - Time Series Optimized Transformer for Observability

Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. This model leverages innovative architectural designs to efficiently handle the ...
Penn Live29d

When is daylight saving time? Here is when clocks ‘fall back’

August is just about halfway through (craziness). The sun is setting noticeably earlier. And even though the temperatures are rising once more, there seems to be — dare we say — an autumnal vibe to ...
The Hacker News29d

Fortinet Warns About FortiSIEM Vulnerability (CVE-2025-25256) With In-the-Wild Exploit Code

Fortinet is alerting customers of a critical security flaw in FortiSIEM for which it said there exists an exploit in the wild. The vulnerability, tracked as CVE-2025-25256, carries a CVSS score of 9.8 ...
IEEE29d

Forecasting Stock Market Volatility Using XGBoost: A Time Series Analysis

Abstract: Forecasting stock market volatility presents significant challenges and opportunities for both practitioners and researchers in the financial sector. This paper explores the application of ...