Helsing, a European AI defense company, announced on Thursday, September 14, that it had secured $223 million, approximately 209 million euros, in Series B funding, with General Catalyst, a venture capital firm, taking the lead. As a strategic investor, Swedish airplane and car manufacturer Saab also participated.
The company underlined its commitment to the advancement of artificial intelligence for the protection of democratic countries. According to his statement, Helsing founder Gundbert Scherf said:
We’ve started Helsing because we think AI will be crucial so democracies can stand up for their values. Our latest momentum has demonstrated a shared conviction by governments and industry.
Established in 2021, Helsing specializes in creating AI-powered military solutions and components, catering to projects such as the upcoming NATO Eurofighter aircraft upgrade and the Future Combat Air System (FCAS) initiative.
The evolution of artificial intelligence has been compared to competition since the launch of OpenAI’s ChatGPT in November 2022. More and more companies are looking for ways of offering governments and armed forces, both effectively and cheaply, AI-powered military technologies. Kratos Defense and Shield AI, located in San Diego, are among these companies that have begun to venture into artificial intelligence’s role in warfare.
In the last few years, AI has seen massive growth, and in many sectors, it is being integrated. There has been a marked improvement in the ability of NLP systems to process languages since generative AI was introduced. These models can be used to develop manlike text, perform language translation, assist in answering any questions, and write creative content.
Hollywood actors revealed in a press conference on July 13 that they would strike because of their association with Artificial Intelligence to represent background performers.
Generative AI is a kind of artificial intelligence that uses prompts to produce new content, such as text, images, or music. To produce those outputs, these instruments are trained on huge amounts of data already available.
