Abstract: This paper begins with an overview of several competitive learning algorithms in artificial neural networks ... Finally, we report a reconfigurable parallel neurocomputer architecture we ...

Now, researchers at MIT have developed an entirely new way of approaching these complex problems, using simple diagrams as a tool to reveal better approaches to software optimization in deep-learning ...

Arm has announced the availability of the first public specification drafted around its Chiplet System Architecture ... to-chip (C2C) architecture specification to connect artificial intelligence (AI) ...

broad learning system (BLS), with the RL framework. First, a new RL algorithm architecture is proposed based on the characteristics of BLS using ridge regression for network updates. Subsequently, an ...

One recent application consists of developing heuristic greedy algorithms ... 3.0%), the new network architecture consistently outperforms the baseline across all epochs. In conclusion, the proposed ...

With the proliferation of sensors around the vehicle, the edge architecture ... algorithms that can increase the resolution of distributed-aperture radar as well as implement machine learning ...

Deep learning (DL ... software, and system integration. Figure 1(e) shows the block diagram of the router and neuronal circuit design. The router consists of a round-robin arbiter, interface links, XY ...

AlphaTensor is based on an AI system ... architecture specifically optimized for algorithm discovery. Then, the Alphabet unit trained the AI system using a method known as reinforcement learning.