AI must reduce energy use
It is well known that the training process of LLM can consume several terabytes of data and use more than 1,000 megawatt-hour power. Worldwide, according to the International Energy Agency, currently data centers are responsible for about 1 to 1.5 percent of global power use. And in artificial intelligence, the world’s still explosion bounce can move that number very high-and fast. The continuation of the existing trends in AI capacity and adoption is prescribed to give birth to 1.5 million AI server units per year by 2027. These 1.5 million servers are running at full capacity, will consume at least 85.4 terravat-hour electricity annually-more than many small countries in a year. To use the small AI models exploiting highly accurate data sets with low layers and to use more advanced/energy-efficient models to use target cases, companies will achieve the objective of reducing energy consumption costs, with a minimum impact on the quality of analysis.
In addition, new growth in deep learning fundamentals, such as the permission and meditation contributed to reduce the cost of training LLM. As Sam Altman said “The era of a huge model may already end,
Quantum is ready to be a reality
Quantum computing has been a long time science fiction, but in 2024, it is ready to become a reality. Quantum computing is ready to bring revolution in computing power, unlocking new frontiers of innovation and search. This emerging technology has the ability to change computing power as we know, capable of solving complex problems on a speed and scale that was earlier unimaginable. At its core, quantum computing uses the principles of quantum mechanics to process information in a different way compared to classical computers. Instead of using bits to represent data as classical computing, quantum computer Quebits, which may be present in many states at a time. This allows quantum computers to be compared faster than classical computers, making them ideal for tasks such as adaptation, simulation, and cryptography. While still in its early stages of development, quantum computing has already shown promising results in a selected range of applications. As technology matures, I hope to emerge more applications, change industries and unlock new possibilities and markets. As we look forward to 2024, whether you are a scientist, a researcher, or a business leader, it is necessary to keep an eye on this emerging technique to be ahead of the curve.
If the calculation allows the application of quantum mechanics in the 40s and 50s of the 20th century to start for real -world problems (and, fortunately, not only bombs), then Quantum mechanics is now presented to start a new revolution in calculation.
Digital twins will bring revolution in industry
Digital twins are a novel concept that refers to the location that is converted into the real and digital world. Both worlds are rapidly connected, and technologies such as the enhanced reality, virtual reality, and immersive experience are breaking the blurred line between two worlds. Digital twins allow us to change those components in the digital world until they are customized and get their best matches in the real world.
Digital space in the physical world, by mimicking everything in the physical world, due to the ability to reflect almost every aspect of a product, process or service, Digital Twin is a state -of -the -art technology that will revolutionize the industry because it has the ability to provide engineers to the virtual world. As a result, technology enables companies to quickly detect and solve physical problems, create design and better products, and realizes more than before possible.
