PaLM showed a training efficiency of 57.8% hardware FLOPs utilisation – the highest that a large language model at this scale has reached.
Google’s paper claims that the net carbon impact of ML computations for some companies could be considered zero.
Google’s MUM is changing ‘Search’ by overcoming language barriers, across diverse media types. Is MUM here to enhance SEO or render it obsolete?
The programme focuses on supporting startups in solving problems using AI/ML or data in healthcare, education, finance, media & entertainment, gaming, etc.
Fujitsu and MIT’s Center for Brains, Minds, and Machines have developed an AI by the DNN into separate modules that increase accuracy
GSPMD separates programming an ML model from parallelization and is capable of scaling most deep learning network architectures
Google’s ‘Bot-in-a-box’ tool brings developers and non-developers on the same page, opening the scope for new and faster innovations in conversational AI.
The human brain has special neurocircuitry to coordinate sleep cycles — transitions between deep, light, and rapid eye movement (REM) stages of sleep — vital not only for physical and emotional wellbeing.
Google claims that new ‘next-generation’ AI architecture – Pathways — has the ability to address weaknesses of existing systems and synthesizes their strengths.
A hybrid approach to building an AI model that combines nonlinear van der Pol (VDP) oscillators with an RNN effectively forecast brain activity based on imaging data.
AI-assisted cross-lingual conversation is a challenging problem. To this end, Google introduced Translatotron in 2019.
I’m a senior Technical Program Manager(PM) with the Cloud AI services team. I lead teams to build products/solutions for our customers.
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