The bigger the better? Google AI’s new 540 billion parameter language model PaLM
PaLM showed a training efficiency of 57.8% hardware FLOPs utilisation – the highest that a large language model at this scale has reached.
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.
In collaboration with an international AI expert, the researchers have termed a new algorithm called ‘Basis Profile Curve Identification’.
Developed by Google’s Project Euphonia, the PnG NAT model helps recreate natural voices of people with speech impairments.
Project Steno is the first demonstration of attempted speech combined with language models to drive a BCI.
GANs capture less diversity than state-of-the-art likelihood-based models.
Prague-based software development company JetBrains has launched a new on-premises version of Datalore, called Datalore Enterprise. The new platform makes it easier for data science
“My fascination with AI began when I first heard about IBM’s supercomputer Deep Blue defeating Garry Kasparov.” For this week’s ML practitioner’s series, Analytics India
Version 0.2 of JetBrains deep learning library, KotlinDL from JetBrains has been released with new layers and Functional API. It’s now easy to build and
The Google Brain team has introduced STAC, semi-supervised learning (SSL) framework to perform object detection in a simplified way
Samy Bengio worked at Google for 14 years. His exit comes a few months after the firing of two Google AI ethics researchers
SpeechStew model is trained on a combination of datasets to achieve state-of-the-art results on various speech recognition benchmarks.
Evaluation for many natural language understanding (NLU) tasks is broken.
Oracle, which owns Java, accused Google of illegally copying more than 11,000 lines of Java API code to develop Android.
Last year, in a much hyped event, Elon Musk’s Neuralink, a brain-chip company gave a demonstration of a lightweight brain implant called THE LINK, which
In terms of computer science education, their textbooks have been the gold standard for training students, researchers, and practitioners.
“You actually have more of your brain dedicated to controlling your wrist than any other part of your body,” said Facebook Reality Labs research head
Tensor2Tensor based Transformer built with self-attention layers becomesstate-of-the-art model in Neural Machine Translation
Recently, Google Brain researchers have introduced a new way of programming automated machine learning (AutoML) based on symbolic programming. The researchers also proposed PyGlove, a
Recently, a team of researchers from MIT, Institute of Science and Technology Austria (IST Austria) and Technische Universität Wien (TU Wien) developed an AI system
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