For the synthetic-to-real domain generalization (DG), we use one of the synthetic datasets (GTAV [12] or SYNTHIA [13]) as the source domain and evaluate the model performance on three real-world datasets (CityScapes [2], BDD-100K [16], and Mapillary [11]). GTAV [12] contains 24,966 images with the size of 1914 1052. It is splited into 12,403, 6,382, and 6,181 images for training, validating, and testing. SYNTHIA [13] contains 9,400 images of 960 720, where 6,580 images are used for training. We use the validation sets of the three real-world datasets for evaluation.

The Ministry of Information and Communications (MIC) launched the akaBot platform – corporate process automation – in Hanoi, earlier this week. A press release said that the technology, akaBot is the FPT's third make-in-Vietnam platform. It is among 33 other platforms selected by MIC to introduce and sponsor media in the "Friday of Technology" programme, to serve the National Digital Transformation Programme to 2025, with the vision to 2030, which was approved by the Prime Minister in June. According to the development team, akaBot is a robotic process automation (RPA) solution for businesses with "virtual assistants" capable of simulating human manipulation, helping perform repetitive tasks in large numbers. With the core technology of RPA, akaBot is capable of integrating artificial intelligence (AI) and optical character recognition (OCR) technology to build comprehensive, non-invasive intelligent automation solutions, which can interact with all business software such as Word and Excel.

Artificial intelligence (AI) is becoming very real--and at an exponentially faster rate. Moreover, those organizations that leverage AI in sync with those hard and soft trends that are shaping the future stand to make the most of its extraordinary potential. On one level, artificial intelligence is poised to help anticipate and address such critical issues as cybersecurity, civil unrest and even outright acts of terrorism. For example, using technology such as automated smart detection, officials at the recent Olympics in Rio were successful in maintaining security in a wide array of venues and locations. Closer to home, the Central Intelligence Agency's deputy director for digital innovation Andrew Hallman recently addressed the issue of anticipatory intelligence at an event hosted by the government and technology website NextGov.

Artificial intelligence (AI) is becoming very real--and at an exponentially faster rate. Moreover, those organizations that leverage AI in sync with those Hard Trends and Soft Trends that are shaping the future stand to make the most of its extraordinary potential. On one level, artificial intelligence is poised to help anticipate and address such critical issues as cybersecurity, civil unrest and even outright acts of terrorism. For example, using technology such as automated smart detection, officials at the recent Olympics in Rio were successful in maintaining security in a wide array of venues and locations. Closer to home, the Central Intelligence Agency's deputy director for digital innovation Andrew Hallman recently addressed the issue of anticipatory intelligence at an event hosted by the government and technology website NextGov.

Sarcasm is difficult to detect online, whether as a user or as an algorithm. Sentiment analysis can help, but there are limits to its effectiveness. An article from cloud-based social intelligence agency Infegy examines the problems resulting from the use of sarcasm online and offers solutions for more accurately identifying and dealing with sarcasm.