DRESDEN / LONDON (IT BOLTWISE) – In Dresden, innovative startups are working on the development of AI systems that mimic the human brain. These technologies not only promise significant energy savings, but also new applications in drug discovery. By integrating computing and storage functions on a single chip, the energy consumption of modern AI systems could be drastically reduced.
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Startups are currently emerging in Dresden that are dedicated to developing AI systems that imitate the human brain. These new technologies promise not only significant energy savings, but also innovative applications in drug discovery. A notable example is the startup Techifab, which is led by physicist Heidemarie Krüger. In 2011, Krüger discovered a compound made from bismuth and iron oxide that behaves similarly to human synapses. This discovery led to the development of semiconductors that can process and store information like the human brain.
However, Techifab is not the only company in Dresden that is at the forefront of this technological revolution. Just a few kilometers away, the TU Dresden spin-off Spinncloud is working on a new type of supercomputer that connects thousands of processors in parallel, similar to neurons in the brain. Their system, Spinnaker-2, is already used in drug discovery and simulates millions of artificial neurons using a fraction of the energy consumption of conventional supercomputers.
The approach of these companies is based on the biological principle of computing. While classic chips process data digitally in zeros and ones, neuromorphic components use analog resistors that change smoothly. This technology enables enormous energy efficiency and speed, especially in applications directly at the data source, such as in autonomous vehicles or industrial robots.
In contrast to large US companies such as NVIDIA or Intel, the Dresden founders rely on material innovations and analogy instead of pure computing power. Krüger’s team has managed to integrate up to 100 memristors on a chip and plans to populate entire silicon wafers with thousands of these devices in the near future. These developments could reduce the power consumption of AI applications by up to 80 percent and usher in Europe’s next technological leap.
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