By Michael HurleyBerlin:Germany is looking to invest in machine learning to help tackle its rising cyberthreats and improve its public image.
Machine learning, or machine learning for short, is a branch of artificial intelligence that is used to automate the process of processing data to make it more accurate.
It has been used to identify and identify threats, to make predictions and to build a more effective cybersecurity response.
In the past, the German government has been investing heavily in machine-learning capabilities and the government has used them to help improve its cybersecurity.
In 2017, it signed a $2.7bn deal with Google to provide machine learning and other technologies to help the German military detect and deter cyber attacks.
In February, the government also announced a $400m contract to train a team of German researchers to use machine learning tools to detect and combat malicious software.
In October, the country’s finance ministry said it had secured an investment of $3.8bn to develop machine learning systems.
According to the German Federal Office for Information Security (BfB), Germany is currently investing $4.3bn in machine and human resources to tackle cyber threats.
Germany’s government is also looking to take the lead in the field.
It will be looking to use AI and machine learning technology to develop its own cybersecurity solutions, according to a government official.
According the government official, the aim is to create a fully integrated and efficient cybersecurity system.
A key area for Germany is cybersecurity, he said.
“Germany has already demonstrated its ability to identify threats using machine learning.
We will be using machine-learned intelligence and artificial intelligence in all areas of our defence and security,” said the official.
The official said that the German army’s new Cyber Defence Unit, which is in charge of cyber defence, will use the machine-intelligence to detect threats in real time, as well as to prevent them from spreading.