In the last 40 years with development of microprocessors, many things have changed. The focus has remained the same: creating smaller devices with increased speed, memory, and capacity.
16-bit code grew to 32-bit, which opened to 64-bit multi-core processors. In essence: much is more!
But demand from markets change. Today it’s not only high-speed computers and smart phones. The Internet of Things (IoT) is reality and in center of the internet. Invisible microprocessors provide us with smart functions in our daily life. The smartcard as well as the energy saving light bulb rely on miniscule electronics where the microprocessor provides the logics.
Today’s IoT applications exist in various markets such as industrials and consumer appliances as well as logistical tracing solutions and in medical wearable such as smart hearing aids and diagnostic sensors. Every device requires individual processors.
With the arrival of the IoT and the proliferation of data across global networks, deep learning enables faster iteration of new data sources and the ability to use them without intimate knowledge. We entered the age of Artificial Intelligence. With the deep-learning approach, the designer’s main focus is to define the neural network’s core architecture. The network must be simultaneously large enough to have capacity for optimal computation, but simple enough that available processing resources aren’t overloaded.
This is where Imsys comes in. Our technology is the only solution on the market that offers both the high-efficiency performance and cost-effective flexibility demanded in IoT and AI. Imsys’ pioneering micro programmable functionality makes it possible to create an architecture perfectly suited to the intended IoT or AI application, with dynamic and reconfigurable specialized functions. It’s everything you need and nothing you don’t.