AI Features – Page 163
- Council Post: Key things to remember while building data teams
The AI team consists of ‘an external team’ (a team external to the data team but part of the core AI team) that works closely with the data team and then there is the core data team itself.
Mathangi Sri ·
- Explained: Prospective learning in AI
A paper published earlier this year argued that retrospective learning isn’t a good representation of true intelligence.
srishti.Mukherjee ·
- Do machines feel pain?
Scientists worldwide have been finding ways to bring a sense of awareness to robots, including feeling pain, reacting to it, and withstanding harsh operating conditions.
poornima.nataraj ·
- We need to break the fixed image of women being good only in certain types of roles: Swetha G Basavaraj, Samsung Electronics America
Basavraj feels that as a data science professional, one should not only keep themselves updated with the latest technology solutions but also master the first principles/fundamentals to solve the right problems
Sreejani Bhattacharyya ·
- What could go wrong with Neuralink?
While the broad aim of developing such a BCI is to allow humans to be competitive with AI, Musk wants Neuralink to solve immediate problems like the treatment of Parkinson's disease and brain ailments.
Shraddha Goled ·
- Council Post: Industry experts weigh in on how Indian businesses can push AI and data science adoption
What contributes to the slow AI and data science adoption? What should Indian companies do to address this problem? We find out.
Amit Naik ·
- Study: Indian AI startup funding in 2021
The total funding in 2021 was $1,108 Mn, a growth rate of 32.5% on a Y-o-Y basis. This growth indicates a strong outlook of start-ups in the AI and Analytics ecosystem.
rahul.bhorayal ·
- How Cryptogenomics realises data anonymization in genetic research
Stanford professor Gill Bejerano developed a method to analyse the DNA of large numbers of patients without storing or holding the DNA samples in a database.
srishti.Mukherjee ·
- Do economists make good data scientists?
What we refer to as coding skills for data science are in fact the ability to think logically and understand underlying data structures.
poulomi.chatterjee ·
- Is AI2’s Macaw better than GPT-3?
If a bird didn’t have wings, how would it be affected? Macaw: It would be unable to fly GPT-3: It would be a bad bird.
Avi Gopani ·
- How language models perfected plagiarism to an art
Today, most institutions employ text-matching software to counteract plagiarism.
srishti.Mukherjee ·
- Utthunga CTO Rushendra Babu on how India can meet the demands of Industry 4.0
Utthunga offers a wide variety of industrial products and solutions such as OPC Suite, Simulators, Edge Softwares, Edge Device Management, Network Diagnostics, etc.
Avi Gopani ·
- A closer look at Russia’s AI-powered artillery
Russia is arming its military with AI powered weapons to pursue its plans of territorial expansion in the region.
sharathkumar.nair ·
- How to become an AI influencer
We are seeing more and more people entering this space to "influence" youngsters.
Sreejani Bhattacharyya ·
- Remembering the legacy of Sir David Cox
Sir David Cox's path-breaking contributions in the field of statistics include the logistic regression, the proportional hazards model and the Cox process.
Sreejani Bhattacharyya ·
- Council Post: How AI & NLP are driving the digital transformation in insurance
To successfully implement AI, NLP solutions in the insurance segment, companies should adopt a case prioritisation framework based on size, wider applicability, and complexity.
Saurabh Khanna ·
- How to navigate uncertainty in deep learning
Methods such as Gaussian processes are very helpful in data analysis and decision making.
srishti.Mukherjee ·
- Council Post: Overcoming the cyclical challenge of data utility and data privacy through Federated Learning
One of the defining characteristics of federated learning is that it keeps raw data decentralised, train model decentralised and then aggregate. Unlike traditional data centre-based distributed learning settings where data is arbitrarily distributed and any node within the network can access the data, Federated Learning involves heterogeneous distributed data to help protect privacy.
Aishwarya Srinivasan ·
- We plan to develop the first full-scale Hyperloop Unit in Asia: Pranay Luniya, CEO, Quintrans Hyperloop
We specialise in the development of Proprietary Tube Structures, On-Track Propulsion and Levitation Mechanisms and Vehicle Engineering.
Avi Gopani ·
- How Sigmoid offers a high-growth environment for data & analytics professionals
Sigmoid provides the right mix of opportunities, technology upskilling, and business use cases to build your dream career as a data professional.
Shraddha Goled ·