European artificial intelligence (AI) defense company Helsing revealed on Thursday, September 14, that it has received $223 million (approximately 209 million euros) in Series B financing, led by venture capital firm General Catalyst. Swedish aerospace and automotive manufacturer Saab is also involved as a strategic investor.
The company emphasized its commitment to advancing artificial intelligence technology to protect democracies. Helsing co-founder Gundbert Scherf said in a statement:
“We founded Helsing because we believe AI is critical for democracies to be able to continue to defend their values. Our recent focus shows that both government and industry share this belief.”
Founded in 2021, Helsing is focused on creating artificial intelligence-driven military solutions and components for projects such as the upcoming NATO Eurofighter upgrade and the Future Combat Air System (FCAS) program.
Since the launch of OpenAI’s ChatGPT in November 2022, the rapid expansion of artificial intelligence has been like a fiercely competitive race. A growing number of companies are working to provide governments and armed forces with more efficient and cost-effective AI-driven military technology. San Diego-based Kratos Defense and Shield AI are among the companies venturing into exploring the role of artificial intelligence in warfare.
Artificial intelligence has grown at an unprecedented rate in recent years and is being integrated into a range of industries. With the introduction of generative artificial intelligence, the capabilities of natural language processing (NLP) systems have been significantly improved. These models can generate human-like text, perform language translation, answer questions and even write creative content.
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In a press conference on July 13, Hollywood actors confirmed that they would go on strike due to the involvement of artificial intelligence on behalf of backstage actors.
Generative AI is a type of artificial intelligence that can use prompts to create new content, such as text, images, or music. Such tools are trained on large amounts of existing data to produce such output.
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