Scientists created intelligent hardware it can analyze images in nanoseconds, Automatic image recognition is widely used today: There are computer programs that can reliably diagnose skin cancer, navigate self-driving cars, or control robots.
Up to now, all this has been based on the evaluation of image data as delivered by normal cameras and that is time-consuming.
Especially when the number of images recorded per second is high, a large volume of data is generated that can hardly be handled.
Scientists at TU Wien therefore took a different approach: using a special 2D material, an image sensor was developed that can be trained to recognize certain objects.
The chip represents an artificial neural network capable of learning. The data does not have to be read out and processed by a computer, but the chip itself provides information about what it is currently seeing within nanoseconds.
Neural networks are artificial systems that are similar to our brain: Nerve cells are connected to many other nerve cells.
When one cell is active, this can influence the activity of neighbouring nerve cells.
Artificial learning on the computer works according to exactly the same principle: A network of neurons is simulated digitally, and the strength with which one node of this network influences the other is changed until the network shows the desired behaviour. Scientists created intelligent hardware it can analyze images in nanoseconds.
Typically, the image data is first read out pixel by pixel and then processed on the computer.
The chip was developed and manufactured at the TU Vienna. It is based on photodetectors made of tungsten diselenide an ultra-thin material consisting of only three atomic layers.
The individual photodetectors, the “pixels” of the camera system, are all connected to a small number of output elements that provide the result of object recognition.
“In our chip, we can specifically adjust the sensitivity of each individual detector element in other words, we can control the way the signal picked up by a particular detector affects the output signal,” says Lukas Mennel, first author of the publication. Scientists created intelligent hardware it can analyze images in nanoseconds.
Once this learning process is complete, the computer is no longer needed. The neural network can now work alone. If a certain letter is presented to the sensor, it generates the trained output signal within 50 nanoseconds for example, a numerical code representing the letter that the chip has just recognized.
The technology can be usefully applied wherever extremely high speed is required: “From fracture mechanics to particle detection in many research areas, short events are investigated.