Lifeboat Foundation

One such competitor, LaMDA, is the work of Google’s AI division. Built on Transformer – the company’s open-source neural network architecture – it can produce non-generic, open-ended dialogue after training on 1.56 trillion words of multi-content, public data and web text. By contrast, a typical chatbot is dependent on topic-specific datasets and has a limited conversation flow. LaMDA has 137 billion parameters, which can be thought of as the individual “synapses” combining to form the AI.

The sheer scale and complexity of models like LaMDA is leading some experts to ask profound questions about the nature of AI. In February, the Chief Scientist and Co-Founder of OpenAI, one of the leading research labs for artificial intelligence, claimed that the latest generation of neural networks are now large enough to be “slightly conscious”.

This month, another expert in machine learning has spoken out. Blake Lemoine, Senior Software Engineer at Google, believes that a form of self-awareness might be starting to emerge from the billions of connected parameters.

As artificial intelligence and deep learning techniques become increasingly advanced, engineers will need to create hardware that can run their computations both reliably and efficiently. Neuromorphic computing hardware, which is inspired by the structure and biology of the human brain, could be particularly promising for supporting the operation of sophisticated deep neural networks (DNNs).

Researchers at Graz University of Technology and Intel have recently demonstrated the huge potential of neuromorphic computing hardware for running DNNs in an experimental setting. Their paper, published in Nature Machine Intelligence and funded by the Human Brain Project (HBP), shows that neuromorphic computing hardware could run large DNNs 4 to 16 times more efficiently than conventional (i.e., non-brain inspired) computing hardware.

“We have shown that a large class of DNNs, those that process temporally extended inputs such as for example sentences, can be implemented substantially more energy-efficiently if one solves the same problems on neuromorphic hardware with brain-inspired neurons and neural network architectures,” Wolfgang Maass, one of the researchers who carried out the study, told TechXplore. “Furthermore, the DNNs that we considered are critical for higher level cognitive function, such as finding relations between sentences in a story and answering questions about its content.”

Radiation may be the biggest threat to humans living on another planet.

To ensure astronaut health and safety, scientists are investigated several means of radiation protection. The optimal mixture is surprisingly rustic, they find.

Also from 0 to 80% in 5.2 minutes. When it comes to electric vehicles, the main concern is the range anxiety related to mileage per charge and charging time.

Enovix’s 3D Silicon Lithium-ion battery. Enovix

When it comes to electric vehicles, the main concern is the range anxiet y related to mileage per charge and charging time.

Continue reading “Novel 3D batteries for EVs can be charged more than 98% in under 10 minutes” »

Elon Musk said deploying Starlink at sea ‘will be relatively easy.’

SpaceX’s Starlink internet is living up to its billing as a service that will be available almost anywhere on Earth, including in the air and out at sea.

That’s because the satellite internet service may soon be available for passengers aboard Royal Caribbean Group cruise ships, according to a blog post from the company.