India is at par with US in terms of AI incubation due to large, tech-savvy population: QX Lab AI CEO

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Artificial Intelligence (AI) is one of the biggest buzzwords of 2024, with companies around the world racing to integrate the technology into their products. According to generative AI (GenAI) firm QX Lab AI, India can be considered at par with the US in terms of emerging as a hotspot for AI-related activities. Co-founded by a team of Indian 'tech entrepreneurs', QX Lab AI is set to compete with Google's Gemini and OpenAI's ChatGPAT services with GenAI capabilities. In a recent conversation with Gadgets360, the UAE-based company said that till now only the US was seen as the hub of technological innovation and trials, but this trend has started changing.

A QX Lab AI team is ready Show AskQX, the company's GenAI platform, is said to be 'neurologically' trained at the upcoming Gen AI Summit 2024 in Bengaluru.

“The United States has always been at the forefront of incubation for any new technology. However, if we consider deploying solutions to cover a larger audience, I think India is the place to be because its population (compared to about 300 million US citizens) is much larger and the technology available. It is also intelligent,” Tilakraj Parmar, co-founder and CEO of QX Lab AI, told Gadgets360.

India's AI market is expected to see a huge boom, especially in the next three years. A recent report by Boston Consultancy Group (BCG) and industry watchdog Nasscom has estimated that India's AI market is projected to reach $17 billion (approximately Rs 1,41,640 crore) by 2027. Healthcare, cyber security, logistics, education and automation are at the top. Sectors that will benefit from the growth of the AI ​​sector.

Earlier last month, the company unveiled AskQX – a generative AI platform that it claims is 'neurologically trained', and generates real-time responses to questions in over a hundred languages. “Neural network algorithms, such as those found in GenAI [platforms] Has the ability to establish a connection between the brain and the computer. This will improve the accuracy of diagnosis and boost capabilities in neuroscience,” Parmar said. They also agreed that the rapid rise of AI technology has raised some concerns that should be addressed as soon as possible.

For example, generic AI platforms like Gemini and ChatGPT have shown remarkable progress in generating quality content in the form of images, text and music. However, ethical concerns remain regarding issues such as data discrimination, privacy violations, and unauthorized access as these services continue to be fine-tuned by their parent organizations.

Parmar said that as more players enter the industry, the quality and diversity of AI generated outputs could become a challenge. After all, AI is getting all of its information from the web which may lack consistency, exhibit biases, or fail to capture the complexity and nuances of human creativity.

“Human feedback is very important to avoid biases and improve performance,” Parmar said while advising players in the sector to adopt a quick problem-solving approach when facing development hurdles. “For effective training of data models, even heterogeneous datasets are important,” he said.


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