Could AI replace Google?
Could AI replace Google? That’s a headline that you could not have imagined week ago, but last week, open AI released chatGPT which is a… Read More »Could AI replace Google?
Based in London, Ajit's work spans research, entrepreneurship, and academia relating to artificial intelligence (AI) with Cyber-Physical systems. He is the course director of the course: Artificial Intelligence: Cloud and Edge Implementations at the University of Oxford. He is also a visiting fellow in Engineering Sciences at the University of Oxford. Besides this, he also conducts the University of Oxford courses: Digital Twins, Cybseecurity, and Agtech. Ajit works as a Data Scientist through his company, feynlabs - focusing on building innovative early-stage AI prototypes for complex AI applications. Besides the University of Oxford, Ajit has also conducted AI courses at the London School of Economics (LSE), Universidad Politécnica de Madrid (UPM), and as part of The Future Society at the Harvard Kennedy School of Government.
Could AI replace Google? That’s a headline that you could not have imagined week ago, but last week, open AI released chatGPT which is a… Read More »Could AI replace Google?
Last week,meta announced a new game changing announcement called Cicero that points to a possible new future for AI.
Cicero, from meta, is an AI that can play (at human comparable capabilities) the game of Diplomacy
The last few weeks have been bad for tech But one announcement caught my attention It has not been so widely covered But in a… Read More »Github copilot class action lawsuit – Uncharted waters for generative AI
Goods-to-Person (G2P) is a warehouse technology that delivers the correct item to the right Operator or workstation at the right time. Amazon has been at… Read More »Amazon Sparrow represents the future of automation and robotics
With the layoffs at Meta this week, it’s time to review metaverse strategies. Meta was increasingly bullish about the timelines, as were many analysts. But where do we stand now?
Low code development is getting a lot of traction. Low code platform development provides a more accessible (and typically a graphical) interface for developing applications.
In September, Kaggle released its annual survey for the state of data science and machine learning.
As an application domain for IoT, smart cities initially showed promise but have struggled over the last decade. However, Smart islands (instead of smart cities) may be good for the success of the Internet of Things.
The issue is not just the actual multiplication but the fastest method to perform the multiplication. The speeding up of matrix multiplication calculations has a high impact because matrix multiplication is a part of many applications – especially in deep learning and image processing.
At first impression, humanoid robots do not have much in common with autonomous cars. But both are autonomous devices. Hence, lessons learned in creating autonomous cars could be applied to developing autonomous robots.