Facebook on the Artificial Intelligence Race

Facebook recently teamed up with Carnegie Mellon University to announce a new venture that takes advantage of Artificial Intelligence and machine learning to develop a new substance called electrocatalysts. Electrocatalysts are specific compounds that increase a battery’s capacity to store energy. The partners hope to use this venture to improve the production capacity. 

Electrocatalysts are essential in converting solar and wind into bio-based fuel sources like hydrogen and ethanol. These alternatives are preferred as they can be easily stored. Despite this additional benefit, the electrocatalysts venture faces a challenge on the cost of production. Likewise, electrocatalysts emerging nature in the market causes their supply to be limited. Facebook and Carnegie Mellon University are coming together to solve this problem. Both parties agree that the collaborative nature will work toward making sure the production of electrocatalysts goes mainstream. Both parties aim to use AI to push this agenda 

The partners also gave a model for their type of software, which will help other market players. This model allows for the altering done in the core software features for more applications other than manufacturing electrocatalyst components. Facebook and Carnegie Mellon University made the root code accessible to all parties interested in using the technology for other functions. The social media company address at the Open Catalyst 2020 opened up the time needed to come up with code capable of running AI. These modules also show the additional relaxation style of coding across many catalysts to build on the existing code. 

According to the code blocks models, these relaxation codes allow for possible variations in calculations that enable programmers to figure out what makes up a suitable catalyst. It takes scientists Approximately 8 hours to complete a relaxation calculation. This relaxation calculation replicates scenarios of how different examples of atoms from various factors interact. However, Facebook assures that the AI program under development could easily handle the same operation. 

Larry Zitnick, who is a lead researcher at the Facebook AI Research facility, states that this discovery will bring a change in how future research will take place. Such ventures have become more frequent recently, with many tech giants joining the AI race. These are ventures that aim to increase computational speeds for calculations. Tech giants expect breakthroughs in computational calculations to change machine learning applications and opportunities in developing a one size fit all artificial intelligence. Likewise, the energy sector looks to get significant benefits from these developments.