On the first day of the Association of Data Scientist’s (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 ‘State of AI and Deep Learning.’
An alumnus of IIT Kharagpur, Mohan has earlier served as the Vice President of SAP Labs India and General Manager of IBM. His current role at Times is that of the Head of Technology Programs. Mohan is also an entrepreneur. He co-founded Bengaluru-based software company Trendwise Analytics in 2012.
During the DevCon 2021 session, Mohan focused on the following key topics:
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- AI Market
- Recent headlines in the AI space
- Use of AI in our everyday lives
- New advancements in deep learning
- Art by AI
Additionally, he emphasised the top 10 emerging technologies in 2021:
- Artificial Intelligence
- Machine Learning
- Augmented Reality and Virtual Reality
- Internet of Things
- Cyber Security
- 5G Network
According to IDC, the worldwide AI market– software, hardware and services, will reach a value of $554.3 billion in 2024, from $327.5 billion in 2021, growing at a CAGR of 17.5 per cent during the forecasted period. Segment-wise, the software market is valued at $37 billion. Under that, the new AI-centric apps and middleware tools segment is expected to grow at the fastest rate, followed by premium-priced AI-infused apps or middleware tools, AI facilitator platforms, and AI maker platforms.
While the US has always been at the forefront of tech advancements, 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 Chinese virtual student. Hua can learn, draw pictures, and compose poetry. In the future, China has ambitions to make Hua learn to code.
Furthermore, Gartner’s AI Hype Cycle predicts that technologies such as chatbots, autonomous vehicles, and computer vision are gradually losing the hype. On the other hand, generating AI, smart robots, and synthetic data are moving up the curve.
Mohan believes that the pandemic has accelerated AI research. As a result, broadly, four segments have gained immense traction in the AI field:
- Drones: In the Indian context, implementing the Drone Rules 2021 has pushed the Indian drone industry by making it easier and cheaper to operate drones in the country. Under the new drone policy, security clearance will not be required before registering or license issuance for drones. Additionally, the government has reduced the requisite fees for permissions.
Followed by this news, India and the US signed an agreement to develop air-launched unmanned aerial vehicles (ALUAV), or drones, that can be launched from aircraft.
- Cancer research: Mohan emphasises how AI and deep learning can now be used to detect cancer. In line with this, he mentioned how the US-based firm Grail had developed the Galleri cancer test that can detect more than 50 types of cancer through a single blood draw, with the help of ML. Forty-five of these cancer types do not have any other recommended screening.
- AI in our daily life: AI is omnipresent in our lives more than we realise. Today, we use AI in the form of robotic vacuum cleaners, smart home solutions, on our phones and even in our smart wearables.
Speaking about the emerging trends in deep learning, Mohan mentioned speech recognition and NLP, Textless NLPs and generative networks. Adding to this, he discussed GPT -3’s strengths and demonstrated how OpenAI’s Codex API could be used to write code to develop a computer game. Finally, he demonstrated how AI can now be used to create art.