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Who is funding AI research?
Innovation in the field of AI is very resource-intensive and often needs strong financial backing.
08/04/2022
11:00 am
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Innovation in the field of AI is very resource-intensive and often needs strong financial backing.
PaLM showed a training efficiency of 57.8% hardware FLOPs utilisation – the highest that a large language model at this scale has reached.
Jio Saavn and Embibe are two of the only Indian companies on the list
Gamers view NFTs as just another microtransaction, especially in the case of games like Ubisoft’s Tom Clancy’s Ghost Recon Breakpoint, which is already fully paid for.
The platform has added Active Directory Connect with Azure Synapse.
‘Dextrabot’ is a gyroscopically stable robotic handle with options for adding various attachments, including a spoon, fork, toothbrush, and more.
Contractual trust is a concept that dictates and quantifies trustworthy AI.
Instinct is a marvellous thing. It can neither be explained nor ignored ― Agatha Christie.
While underfitted models show less variance and more bias, overfitted models display a high variance with less bias within them.
Data pre-processing techniques generally refer to the addition, deletion, or transformation of training set data.
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.
Researchers from MIT and Facebook AI have introduced projUNN, an efficient method for training deep networks with unitary matrices.