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Advancing Hearing Comprehension Members Public

In a research published in the academic journal “Nature Communications”, Josh McDermott explained how he employed computational modeling to analyze factors that affect how humans can hear pitch. This kind of model closely simulates that of humans — but only when it is trained using music, voices, or other naturalistic sounds.

Dmitry Spodarets
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AI Asserting on Different Topics at Oxford Union Debate Members Public

The experiment was created to start a discussion about the ethics of the AI technology. The AI said that the only way to stop such thing becoming too authoritative is not to have AI at all. The Megatron LLB Transformer was created by the Applied Deep Research team at a

Dmitry Spodarets
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Benefits from Pathogenic Fungi in the Root Mycobiome Members Public

Perplexing microbial communities inhabit plants and inflect their development. Exclusively, roots host an expanded diversity of micro-organisms along with bacteria and fungi that straightforward affect plant health. It is a publication in Nature Communications, where Fantin Mesny and co-authors contribute novel insights into how these fungi conquer roots, why a

Dmitry Spodarets
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Sparse Data Foreseeing Laboratory Quakes Members Public

A  special machine-learning concept created for sparse data reliably predicts fault slip in laboratory earthquakes. This can be essential for predicting fault slip and potentially earthquakes in the industry. The recent study by a Los Alamos National Laboratory team has evolved on their previous success using data-driven approaches that worked

Dmitry Spodarets
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Use of AI-generated Characters for Different Fields Members Public

To boost the potential of the technology, the researchers at MIT Media Lab and their colleagues at the University of California at Santa Barbara and Osaka University have built an open-source, convenient character generation pipeline that integrates AI models for facial gestures, voice, and motion. It can be used to

Dmitry Spodarets
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Join our Slack community Members Public

Data Phoenix is speaking! Our team has great news to share! We want to be close to you as much as possible, that's why we created Slack chat where we can talk to you 24/7, you can text what you expect to see on our social media, what would

Dmitry Spodarets
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Bean Machine for AI Uncertainty by Meta Members Public

Meta (meaning Facebook) made an announcement of Bean Machine. It is a probabilistic programming system that, formally, makes it easier to perform and learn about confusions in AI models. Bean Machine can be used to discover unobserved properties of a model via automatic, “uncertainty-aware” learning algorithms. Probabilistic modeling, the kind

Dmitry Spodarets
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Finetuning of GPT-3 Is Now Officially Allowed, says OpenAI Members Public

OpenAI has announced that its customers now have the opportunity to create custom versions of GPT-3, a model that can generate human-like text and code. The new GPT-3 fine-tuning capability enables customers to train GPT-3, to identify definitive patterns for tasks and workloads like content generation, classification, and text summarization

Dmitry Spodarets
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