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Features list
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Vincent Violago and Nikko Quevada discuss the various types of bias in machine learning algorithms and the data used to train the algorithms. They also analyse patents directed to bias mitigation, as well as the reasons machine bias is difficult to identify and eliminate
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AWA Asia’s IP strategy and patent team in Beijing looks at the China FinTech market, discusses available IP protection mechanisms and considers how revised guidelines could provide opportunities to protect technology in this rapidly developing sector
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David Stone discusses the difficulties of registering and enforcing shape trade marks in the European Union
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European in-house IP counsel tell Patrick Wingrove about the prospects and problems of individual treatments, particularly as AI plays a bigger role in making them
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Dmitry Andreev discusses issues in patenting blockchain-related technologies, and explains how to avoid the most common grounds of rejection
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Higher patent damages may be more achievable in the US now. Ellie Mertens reveals the highest awards so far this year
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