On the first day of the Association of Data Scientist (ADaSci) Deep Learning DevCon 2021 (DLDC), Mohan Silaparasetty of Times Professional Learning (a division of Bennett, Coleman & Co. Ltd.) set the tone for the conference with a session on ‘booth of AI and deep learning. ‘
As an alumnus of IIT Kharagpur, Mohan was previously Vice President of SAP Labs India and General Manager of IBM. His current role at Times is as Director of Technology Programs. Mohan is also an entrepreneur. In 2012 he co-founded the Bengaluru-based software company Trendwise Analytics.
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During the DevCon 2021 session, Mohan focused on the following key topics:
- AI market
- Current headlines in the AI sector
- Use of AI in our everyday life
- New advances in deep learning
- Art from AI
In addition, he highlighted the top 10 emerging technologies in 2021:
- Artificial intelligence
- Machine learning
- Augmented Reality and Virtual Reality
- Internet of things
- Online Safety
- 5G network
According to IDC, the global AI market – software, hardware and services – will be valued at $ 554.3 billion in 2024, up from $ 327.5 billion in 2021, at a CAGR of 17.5 percent in the forecast period. In terms of segments, the software market is estimated at 37 billion US dollars. Among them, the new segment of AI-centric apps and middleware tools is expected to grow the fastest, followed by high-priced AI-infused apps or middleware tools, AI facilitator platforms and AI manufacturer platforms.
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While the US has always been at the forefront of technological progress, China is not far behind. According to Gartner, China is challenging US dominance in terms of AI quality and will soon catch up. Mohan backs this prediction by citing the example of Hua Zhibing – the world’s first virtual Chinese student. Hua can learn to draw pictures and write poetry. In the future, China has ambitions to teach Hua how to program.
Additionally, Gartner’s AI Hype Cycle predicts technologies like chatbots, autonomous vehicles, and computer vision will gradually lose the hype. On the other hand, the generation of AI, intelligent robots and synthetic data are moving upwards.
Mohan believes the pandemic accelerated AI research. As a result, by and large four segments in the AI space have become immensely important:
- Drones: In the Indian context, the implementation of the drone rules in 2021 has pushed the Indian drone industry forward by making it easier and cheaper to operate drones in the country. According to the new drone directive, no security clearance is required prior to registration or licensing for drones. In addition, the government has lowered the fees required for permits.
Following this news, India and the US signed an agreement to develop airborne unmanned aerial vehicles (ALUAVs) or drones that can be launched from airplanes.
- Cancer research: Mohan emphasizes how AI and deep learning can now be used to detect cancer. Appropriately, he mentioned how the US company Grail developed the Galleri cancer test, which with the help of ML can detect more than 50 types of cancer with a single blood sample. There is no other recommended screening for 45 of these cancers.
- AI in our daily life: AI is ubiquitous in our lives, more than we are aware of. Today we are using AI in the form of robotic vacuums, smart home solutions, on our phones and even in our smart wearables.
Regarding the emerging trends in deep learning, Mohan mentioned speech recognition and NLP, textless NLPs, and generative networks. He also discussed the strengths of GPT -3 and showed how OpenAI’s Codex API could be used to write code for developing a computer game. Finally, he demonstrated how art can now be created with AI.
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