There's a lot of data out there. It's generated by technology and it's used in services. We're using that data to help us make smart decisions. We're also using it to help us make better decisions in power grids, and we're using it to help us make reliable decisions in wireless sensor networks. This data will be more and more important in the future.
AI and Cybersecurity have a huge amount of overlap. The latest developments in AI have shown a huge growth for cyber-attackers and defenders. Cybersecurity experts are improving safety in the AI environment through new ideas. This survey report focuses on the implementation of AI in the domain of cybersecurity.
Due to advancement in technology and Internet, cybercriminals are using various machine learning (ML) and deep learning (DL) approaches to commence cyberattacks. As DL approaches were used in processing of image and recognition of speech, cybersecurity experts were busy using DL techniques to tackle those cyberattacks. This survey report focuses on DL methods put forward recently for cybersecurity.
Using the power of RNNs for converting speech to beautiful handwritten cursive writing python application.