Srikanth
Moore’s law essentially refers to the exponential growth of electronic industry and surprisingly, the present scenario has contradicted the law’s nature by slowing down the process of expansion.
Many in the tech industry have started believing that the law holds no truth in it whatsoever. However, this was the case only until Artificial Intelligence had transpired into the scene. Now, AI is steadily revamping the status of Moore’s law and its significance.
Back in 1965, Gordon Moore, one of the co-founders of Intel noted that the costs of integrated circuits had reduced to half of the original value whilst the number of transistors doubled in amount on a yearly basis. This inverse variation had no influence on speed, however. Gordon would then go about and confirm that this trend was bound to persist in the near future as well.
Although Moore’s law might seemingly portray its weakness in clarity quite explicitly, the technology-scaling rule called Dennard Scaling provided necessary support in this regard. The technology-scaling rule revolves around the fact that when number of transistors is increased per unit area, power requirement per unit area will remain constant and the current will scale downward with length.
The size of the transistors has been reduced but the energy efficiency and speed have increased manifold. All these advantages have not influenced the budget of these devices whatsoever.
Chien-Ping Lu of NovuMind Inc points out that, “Moore’s law is dying gradually” in his paper where he also elaborates the reason as in how transistors continued to double in overall amount after 2005 whilst the energy efficiency dwindled.
The tech industry flourished in 21st century with increase in the usage of smart devices and other equipment that made life better and easy. Qualcomm and Samsung are such splendid cases of technological boom in the industry of processors and smart phones.
The boost in technology relatively resulted in the surge of competing firms. The demand and challenges increased as every competitive firm in the market had to launch better performing hardware to meet the specifications that are resolute in yielding enhanced performance.
Therefore, user experience was placed as the foremost priority. Nevertheless, new versions of these devices lagged in terms of saving energy.
The fluctuation from Moore’s law’s failure has slowly become viable after the break down of the Dennard scaling aspect. Artificial Intelligence plays the crucial role here in revamping Moore’s law.
The growth of Artificial Intelligence reminds us of the design of over-hyped smart robots that could potentially be machines with thinking capacities, but is the exaggerated portrayal by media.
Alan Turing, a pioneer in this aspect believed that the process of creating machines with thinking capacity was very difficult and hence he put forth the theory that programming machines with the thinking capacity of a child was a gateway to reach the design of machine which has the thinking capacity of an adult.
Currently in the era of AI, we are gathering huge amounts of data and we are developing complicated algorithms. Although, we have the required methodologies to move in a specific direction we lack in the aspect of hardware. Moreover, the possibility of achieving this feat could result in causing another Global warming with the usage of GPUs. It’s a rotational cycle of wanting more processing power leading to the design of advanced algorithms and hence requiring large amounts of data.
Artificial Intelligence is helping to enhance performance while maintaining the power consumption and price at a very minimal level. This corresponds to the Dennard scaling again and thereby bringing Moore’s law back to life.
