The hallmark of human intelligence is the capacity to learn. A toddler has comparable aptitudes to reason about space, quantities, or causality than other ape species (source). The difference of our cousins and us is the ability to learn from others.
The recent deep learning hype aims to reach the Artificial General Intelligence (AGI): an AI that would express (supra-)human-like intelligence. Unfortunately current deep learning models are flawed in many ways: one of them is that they are unable to learn continuously as human does through years of schooling, and so on. Read More
Daily Archives: January 6, 2020
Hitchhiker’s Guide to Artificial Intelligence 2019-2020
In the last decade, we have seen AI transitioning from an industry buzzword to finally being adopted across various enterprise applications. Indian businesses are analysing how they can make processes more efficient which has led to increasing adoption of artificial intelligence in the enterprise across different verticals. Products and services are being rebuilt with the integration of artificial intelligence with the objective of creating a better experience for end consumers. As enterprises are wary of getting left behind, this has driven the demand for professionals skilled in AI-based technologies. The trend is clear— professionals who are skilled in AI are being rewarded, along with a rising emphasis on upskilling keeping artificial intelligence in the centre. Read More
Wanna Build an AI-powered Organization? Start by Getting EVERYONE to “Think Like A Data Scientist”
In a recent blog I stated that “Crossing the AI Chasm” is primarily an organizational and cultural challenge, not a technology challenge. That “Crossing the AI Chasm” not only requires organizational buy-in, but more importantly, necessitates creating a culture of adoption and continuous learning fueled at the front-lines of customer and/or operational engagement (see Figure 1).
A recent Harvard Business Review (HBR) article “Building the AI-Powered Organization” agrees that despite the promise of AI, many organizations’ efforts with it are falling short because of a failure by senior management to rewire the organization from the bottom up. Read More
How federated learning could shape the future of AI in a privacy-obsessed world
You may not have noticed, but two of the world’s most popular machine learning frameworks — TensorFlow and PyTorch — have taken steps in recent months toward privacy with solutions that incorporate federated learning.
Instead of gathering data in the cloud from users to train data sets, federated learning trains AI models on mobile devices in large batches, then transfers those learnings back to a global model without the need for data to leave the device. Read More
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