Google claimed that its artificial intelligence can make microchips better and faster than human engineers? Is this true? How can companies benefit?
Google was recently rumored to be working on a chipset that is claimed to be better than Snapdragon and the current M1 in-house SoC of Apple. This is a great development from the tech giant firm since it is only known for its browsers, smartphones, and other regular technologies.
And now, Google is working on its artificial intelligence, which is another unusual innovation from the company. On the other hand, the tech manufacturer now claims that its A.I. can make chipsets better and faster than human engineers. If this is true, the ongoing SoC shortage, which affects various companies such as Tesla, Samsung, Apple, and more, could be solved.
A group of researchers from Google’s Brain Team attempted to answer this question and came back with interesting findings. It turns out that a well-trained A.I. is capable of designing computer microchips and with great results.
On the other hand, Google also confirmed that its upcoming computers and other similar devices would have the company’s in-house chipsets, which will be developed by its artificial intelligence. To give you more ideas, here are other details of the manufacturer’s advanced A.I.
How Will AI Develop Microchips?
Google Research‘s Brain Team, which is currently based in Mountain View, California, claimed that it solved the issue regarding microchip floor plans. Once the company finishes its experiment, its new A.I. could be a great help, especially since many engineers are suffering from complicated new microchip floor plans.
Azalia Mirhoseini and Anna Goldie, both co-leaders of the research team, explained that Google’s A.I. was trained to play a game of finding the most efficient chip design. Using a dataset of 10,000 microchip floor plans, the team used a reinforcement learning algorithm to set apart the good and the bad floor plans. Metrics such as the length of wire, power usage, chip size, and more were taken into consideration.
They added that the more Google’s A.I. was able to discern the most optimal chip configurations, the more it was also able to produce its own. In the process, it found some unique approaches as to the placement of parts. This has worked as an inspiration for the experts to try something new, such as reducing the distance between the components by placing them in doughnut shapes.
Aside from this, the search engine giant’s experts and researchers explained that although previous attempts of simplifying the process have been made, five decades worth of research hasn’t brought any solutions. Until now, all automated planning techniques were unable to replicate the kind of performance human-made chips provided.
Thanks to the search engine giant’s A.I., companies and other organizations can now expect better and faster chip development in the future. But, tech giant inventor still hasn’t announced if it will share its new technology with other developers. This will still depend on the final decision of the company.