Tag: Computing power

While the tech industry is investing heavily in generative AI, the cost of its massive computing power requirement and development is a major obstacle. Experts warn about the astronomical costs outweighing the benefits, serving as a warning for the industry to consider the long-term implications of AI's feasibility. Discover why AI may not be as promising and revolutionary as it seems.

Qualcomm's new processors will allow AI models like GPT-4 and DALL-E2 to run on smartphones, reducing costs and increasing accessibility for users.

Invest in Nvidia, Crowdstrike and Amazon to profit from the AI revolution. Nvidia provides computing power, Amazon has Alexa, and Crowdstrike offers cloud-based security with AI.

Google has merged its AI research teams into one unit called Google DeepMind, headed by Koray Kavukcuoglu, VP of Research at DeepMind and Eli Collins as its VP of Product. Led by Zoubin Ghahramani, the research boards of Google Brain & DeepMind collaborate to create AI based products & breakthroughs. This $500 million amalgamation seeks to revolutionize the tech industry.

China's tech giants such as Baidu, Alibaba, and Tencent are developing chatbot technology, including ChatGPT. However, compliance issues, computing power limits, and costs present significant hurdles to the wider adoption of the technology, as Xiao Xiupeng a VP at Xiao-i, a Nasdaq-listed AI firm, pointed out at the Shanghai AI Conference. There are opportunities for leveraging larger language models in specific sectors. Smaller AI models, in symbiotic ecosystems, could help companies progress their goals. AI can also offer benefits to the manufacturing sector in areas such as digital transformation, but issues remain for ChatGPT.