AI Features – Page 150
- Mu Sigma as the training ground for Analytics leaders
Mu Sigma is also often counted as the only Indian startup that has been profitable since its inception.
Shraddha Goled ·
- Another bill bites the dust
The Bill had faced heavy criticism from different stakeholders -citizens, tech firms, political parties since its inception
Sreejani Bhattacharyya ·
- Council Post: Leveraging data science and analytics for social good
There is a need to create awareness among a new generation of data scientists, which can further help in supporting non-profits and developing data science tools to benefit people all over the world positively.
Anirban Nandi ·
- Deepfakes will change advertising forever
A technology like this has a greater untapped capability as communication is becoming customised
tasmia.ansari ·
- Everyone is Open Sourcing their Language Models, so does this Russian Search Engine
YaLM 100B is a GPT-like neural network for generating and processing text
Zinnia Banerjee ·
- What does Musk really want from the Twitter acquisition?
It is unlikely that a businessman as savvy as Musk agreed to spontaneously purchase a social media platform in a highly-leveraged deal just because of his personal belief in freedom of speech.
poulomi.chatterjee ·
- Master of all trades: Meet Flamingo, DeepMind’s visual language model
Flamingo’s ability to handle interwoven text and visuals makes it a natural fit for in-context few-shot learning, similar to GPT-3, which also used few-shot text prompting.
poulomi.chatterjee ·
- Intuit's Saurabh Saxena on solving problems with a customer and a platform-focused mindset
“We hired over 40% of our talent in the last two years,” says Saurabh Saxena, Intuit India Site Leader & Vice President, Product Development
Amit Naik ·
- Council Post: Sensible data – a prerequisite to develop reliable models
Data pre-processing techniques generally refer to the addition, deletion, or transformation of training set data.
inmitra ·
- What is IBM’s GT4SD?
Our goal behind making the toolkit open-source was for research to progress faster in the domain of generative modelling.
Shraddha Goled ·
- A single hackathon teaches you more than any book or course ever could: MachineHack Grandmaster Tapas Das
I rely heavily on FeatureTools for feature engineering and Optuna for hyperparameters search.
sri.krishna ·
- How to train compute optimal large language models?
New research from DeepMind attempts to investigate the optimal model size and the number of tokens for training a transformer language model under a given compute budget.
Shraddha Goled ·
- Yann Lecun and team introduce an efficient method for training deep networks with unitary matrices
Researchers from MIT and Facebook AI have introduced projUNN, an efficient method for training deep networks with unitary matrices.
Shraddha Goled ·
- Inside GreedyGame's AI-enabled recommendation & creation engine for native ads
GreedyGame has the world’s first AI-enabled ad unit recommendation and creation engine for implementing native ads.
sri.krishna ·
- How did AI beat eight world champions at bridge?
The game was simplified by excluding bidding from the beginning.
poulomi.chatterjee ·
- 3D animation using AI: Behind Plask
This free AI-powered 3D animation editor and mocap tool will completely change the way we edit our videos.
Abhishree Choudhary ·
- Israel based Corsight AI claims it can model a person’s face from DNA sample
The company has previously drawn flak over exaggerating the competency and accuracy of its facial recognition system.
srishti.Mukherjee ·
- Council Post: Building the next generation of AI professionals
Biswanath.Choudhary ·
- The race to reduce nanometers in chips
Intel’s chips in production measure 10 nm while TSMC is producing 5nm already.
Avi Gopani ·
- “A Beautiful Mind” completes 20 years: take a look at the legacy of John Nash
As “A Beautiful Mind” completes twenty years, lets take a look at the life and contributions of the legendary mathematician.
Sreejani Bhattacharyya ·