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Microsoft’s “divide and conquer” AI mastered Ms. Pac-Man

Artificial intelligence researchers have long used games to train their machine learning algorithms. A team of researchers at Microsoft has recently cracked another game, this time creating a novel artificial intelligence system that can get a maximum score on the notoriously difficult video game Ms. Pac-Man.

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featured blogs
Mar 5, 2021
Design companies often work with multiple PCB fabricators and each fabricator may have a different set of DFM rules. It is a customary practice followed by design companies to create a common... [[ Click on the title to access the full blog on the Cadence Community site. ]]...
Mar 4, 2021
Like so many things, I started off by saying '€œOoh, Shiny!'€ But I ended up thinking, '€œJust a minute, how does that actually work in the real world?'€...
Mar 4, 2021
3D ICs help SoC designers extend the design scale beyond Moore's Law; learn how unified 3D IC design tools enable faster convergence for multi-die chips. The post Onward and Upward: Enhancing 3DIC Design Productivity with a Unified Platform appeared first on From Silicon To ...
Mar 3, 2021
In grade school, we had timed math quizzes. With a sheet full of problems and the timer set, the goal was to answer as many as possible. The key to speed is TONS of practice and, honestly, memorization '€“ knowing the problems so well that the answer comes to mind at first ...

featured paper

Increase the flexibility of your precision analog designs leveraging a low-cost MSP430™ MCU

Sponsored by Texas Instruments

There are many ways to address performance requirements while reducing the overall cost of your design. People often use dedicated integrated circuits to address specific functions, but this approach can cause variations in cost, complexity, and ease of use. There is another way to unlock the full potential of your design. Read more to see how a programmable MCU provides additional functionality and flexibility that is not typically available with conventional approaches.

Click here to read the paper

featured chalk talk

Cutting the AI Power Cord: Technology to Enable True Edge Inference

Sponsored by Mouser Electronics and Maxim Integrated

Artificial intelligence and machine learning are exciting buzzwords in the world of electronic engineering today. But in order for artificial intelligence or machine learning to get into mainstream edge devices, we need to enable true edge inference. In this episode of Chalk Talk, Amelia Dalton chats with Kris Ardis from Maxim Integrated about the MAX78000 family of microcontrollers and how this new microcontroller family can help solve our AI inference challenges with low power, low latency, and a built-in neural network accelerator. 

Click here for more information about Maxim Integrated MAX78000 Ultra-Low-Power Arm Cortex-M4 Processor