AI (Artificial Intelligence)

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One year of Trump 2.0: how he’s weaponised AI as political propaganda

As Donald Trump marks one year back in the White House, Vedika Bahl takes a closer look at how he has weaponised artificial intelligence into a top political tool, used to glorify himself, attack his opponents and amplify his political agenda. Whilst it has become a defining feature of his digital presence, it’s brought with

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Why it’s critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to test whenever a model is deployed in a new setting.“We demonstrate that even when you train models on large amounts of data, and choose the

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IEEE Transactions on Neural Networks and Learning Systems, Volume 37, Issue 1, January 2026

1) Privacy-Preserving Video Anomaly Detection: A SurveyAuthor(s): Yang Liu, Siao Liu, Xiaoguang Zhu, Hao Yang, Jielin Li, Juncen Guo, Liangyu Teng, Dingkang Yang, Yan Wang, Jing LiuPages: 2 – 212) SSPPI: Cross-Modality Enhanced Protein–Protein Interaction Prediction From Sequence and Structure PerspectivesAuthor(s): Xiangpeng Bi, Wenjian Ma, Huasen Jiang, Weigang Lu, Zhiqiang Wei, Shugang ZhangPages: 22 – 363) Integrating

IEEE Transactions on Neural Networks and Learning Systems, Volume 37, Issue 1, January 2026 Read More »

One year of Trump 2.0: how he’s weaponised AI as political propaganda

As Donald Trump marks one year back in the White House, Vedika Bahl takes a closer look at how he has weaponised artificial intelligence into a top political tool, used to glorify himself, attack his opponents and amplify his political agenda. Whilst it has become a defining feature of his digital presence, it’s brought with

One year of Trump 2.0: how he’s weaponised AI as political propaganda Read More »