EPO guidelines on AI

EPO release guidelines on the patentability of artificial intelligence (AI) and machine learning technologies. Artificial intelligence and machine learning are based on computational models and algorithms for classification, clustering, regression and dimensionality reduction, such as neural networks, genetic algorithms, support vector machines, k-means, kernel regression and discriminant analysis.
Artificial intelligence and machine learning find applications in various fields of technology. For example, the use of a neural network in a heart-monitoring apparatus for the purpose of identifying irregular heartbeats makes a technical contribution. The classification of digital images, videos, audio or speech signals based on low-level features (e.g. edges or pixel attributes for images) are further typical technical applications of classification algorithms. Classifying text documents solely in respect of their textual content is however not regarded to be per se a technical purpose but a linguistic one (T 1358/09). Classifying abstract data records or even "telecommunication network data records" without any indication of a technical use being made of the resulting classification is also not per se a technical purpose, even if the classification algorithm may be considered to have valuable mathematical properties such as robustness (T 1784/06).

Patent Cooperation Treaty Yearly Review 2018

Highlights from the report.

• An estimated 243,500 international patent applications were filed under WIPO’s Patent Cooperation Treaty (PCT) in 2017.  With 56,158 filings, the United States Patent and Trademark Office (USPTO) received the highest number of PCT applications; it was followed by the State Intellectual Property Office of the People’s Republic of China (SIPO; 50,674), the Japan Patent Office (JPO; 47,425), the European Patent Office (EPO; 36,714), the Korean Intellectual Property Office (KIPO; 15,830) and the International Bureau (IB) of WIPO (10,212).
• The business sector accounted for 84.8% of all published PCT applications, followed by individuals (8%), the university sector (5.4%) and the government and public research organizations (PROs) sector (1.9%).
• Huawei Technologies was the top PCT applicant in 2017, with 4,024 published PCT applications. With 2,965 published PCT applications, ZTE Corporation moved from first to second place. These two Shenzhen-based companies were followed by U.S.-based Intel Corporation (2,637), Mitsubishi Electric Corporation of Japan (2,521) and Qualcomm Incorporated of the U.S. (2,163).
• Among educational institutions, the University of California (482 published PCT applications) has remained the largest user of the PCT System since 1993 . The Massachusetts Institute of Technology (278) ranked second, followed by Harvard University (179), the University of Texas System (161) and Johns Hopkins University (129). 
• Computer technology (19,122) was the most frequently featured technology field in published PCT applications in 2017, followed by digital communication (18,400), electrical machinery, apparatus, energy (15,223) and medical technology (15,024).
• India filed 1603 PCT applications in 2017, 1528 in 2016 and 1412 in 2015. One third of Indian PCT applications have USA as designated country. 
• India is an attractive destination for PCT applications. Indian patent office received 25,896 national phase entries in 2016 and 27,882 in 2015. 96.4% of PCT applications received at India office had date of priority.
•  A relatively high share of PCT filings from India related to pharmaceuticals, Singapore - semiconductors, China- Audio Visual Technology, Computer technology, Sweden- Digital communication, Japan- Electrical Machinery, Israel- Medical technology, Netherlands- Optics, France- Transport.
•  In 2017, less than half of all PCT applications (47.6%) were published in English, followed by Japanese (19.4%) and Chinese (15.7%).