AI (Artificial Intelligence)

Auto Added by WPeMatico

Bengaluru Voice AI Startup Bolna Grabs $6.3 Mn to Enhance Vernacular Calls

ai, AI (Artificial Intelligence), AI News, Artificial Intelligence, Bolna, Funding, Voice AI

Bengaluru-based voice AI startup Bolna has secured $6.3 million in a seed funding round led by General Catalyst.  This funding round also featured participation from Y Combinator, Blume Ventures, Orange Collective, Pioneer Fund, Transpose Capital, and Eight Capital, as well as angel investors Aarthi Ramamurthy, Arpan Sheth, Sriwatsan Krishnan, Ravi Iyer, and Taro Fukuyama, among

Bengaluru Voice AI Startup Bolna Grabs $6.3 Mn to Enhance Vernacular Calls Read More »

Sensesemi Bags ₹25 Cr Seed Funding to Build Edge AI Chips

ai, AI (Artificial Intelligence), AI News, Artificial Intelligence, chip, Chip Manufacturing, edge ai, Edge AI Chip, Funding

Sensesemi Technologies has raised ₹25 crore in a seed funding round to accelerate the development of its edge AI chip architecture for industrial IoT, automotive systems, and medical devices.  The Bengaluru-based, DLI scheme-approved fabless semiconductor startup addresses on-device processing needs where power efficiency and real-time performance matter. The round was led by Piper Serica, with

Sensesemi Bags ₹25 Cr Seed Funding to Build Edge AI Chips Read More »

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

ai, AI (Artificial Intelligence), Artificial Intelligence, Truth or Fake

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 »

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

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Health care, Institute for Medical Engineering and Science (IMES), Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, Research, School of Engineering, Technology and society

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

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

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

ai, AI (Artificial Intelligence), Artificial Intelligence, IEEE TNNLS, journals, TNNLS

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 »