Deepening their partnership on development of Artificial Intelligence (AI) technology, Google is integrating Facebook’s open source Machine Learning (ML) PyTorch framework across its software and hardware tools for AI development.
PyTorch is a deep learning framework designed for easy and flexible experimentation and Facebook on Tuesday announced the preview release of an updated version of the framework – PyTorch 1.0.
The new partnership is aimed at making PyTorch framework work with Google’s custom computer chips for ML, dubbed Tensor Processing Units, or TPU, Fortune.com reported.
“In conjunction with today’s release of PyTorch 1.0 Preview, we are broadening support for PyTorch throughout Google Cloud’s AI platforms and services,” Rajen Sheth, Director of Product Management, Google Cloud wrote in a blog post on Tuesday.
ML developers use many different tools, and Goolge has integrated several of the most popular open source frameworks into its products and services, including TensorFlow, PyTorch, scikit-learn, and XGBoost.
“Today, we’re pleased to announce that engineers on Google’s TPU team are actively collaborating with core PyTorch developers to connect PyTorch to Cloud TPUs,” Sheth said on the blog.
Russian researchers have revealed that artificial intelligence (AI) is able to infer people’s personality from ‘selfie’ photographs better than human raters do. The study, published in the journal Scientific Reports, revealed that personality predictions based on female faces appeared to be more reliable than those for male faces.
The technology can be used to find the ‘best matches’ in customer service, dating or online tutoring, the researchers from HSE University and Open University in Russia, said. Studies asking human raters to make personality judgments based on photographs have produced inconsistent results, suggesting that our judgments are too unreliable to be of any practical importance. According to the study, there are strong theoretical and evolutionary arguments to suggest that some information about personality characteristics, particularly, those essential for social communication, might be conveyed by the human face.
After all, face and behaviour are both shaped by genes and hormones, and social experiences resulting from one’s appearance may affect one’s personality development.
However, the recent evidence from neuroscience suggests that instead of looking at specific facial features, the human brain processes images of faces in a holistic manner.
For the findings, the researchers teamed up with a Russian-British business start-up BestFitMe to train a cascade of artificial neural networks to make reliable personality judgments based on photographs of human faces.
The performance of the resulting model was above that discovered in previous studies which used machine learning or human raters.
The artificial intelligence was able to make above-chance judgments about conscientiousness, neuroticism, extraversion, agreeableness, and openness based on ‘selfies’ the volunteers uploaded online.
The resulting personality judgments were consistent across different photographs of the same individuals.
The study was done in a sample of 12,000 volunteers who completed a self-report questionnaire measuring personality traits based on the “Big Five” model and uploaded a total of 31,000 ‘selfies’. The respondents were randomly split into a training and a test group.
A series of neural networks were used to preprocess the images to ensure consistent quality and characteristics and exclude faces with emotional expressions, as well as pictures of celebrities and cats.
Next, an image classification neural network was trained to decompose each image into 128 invariant features, followed by a multi-layer perceptron that used image invariants to predict personality traits.
In comparison with the meta-analytic estimates of correlations between self-reported and observer ratings of personality traits, the findings indicate that an artificial neural network relying on static facial images outperforms an average human rater who meets the target in person without prior acquaintance.
Conscientiousness emerged to be more easily recognizable than the other four traits. Personality predictions based on female faces appeared to be more reliable than those for male faces, the study said. (IANS)
With the Covid-19 pandemic dramatically accelerating the shift to remote work, Facebook’s collaboration tool for businesses, Workplace, has amassed five million paid users — up two million since October.
And Work Groups, a type of Facebook Group that helps people connect with their coworkers, has over 20 million monthly active users after just six months, Facebook said in a blog post on Thursday.
“Today we’re introducing new video features in Workplace We’re also adding features to Workplace on Portal, and widely releasing Oculus for Business to meet early demand for VR-powered training and collaboration,” the social networking giant said.
For example, with Workplace Rooms, users can invite up to 50 people to a video call even if they are not in their company or do not have a Workplace account.
“Whether you’re holding team meetings, hosting a virtual happy hour, or just jumping on quick one-on-one calls, you can easily create video call links from Workplace Chat, Groups, News Feed or Portal, then share them in a chat, post, email or text message, Facebook said.
A new way to go live on Workplace from your desktop is “Live Producer” which lets people to schedule live videos, share their screen and use the live Q&A feature to let people ask and vote on questions.
You can turn on automatic captions for live videos in English, French, German, Italian, Portuguese and Spanish. Workplace will also automatically translate videos in one of these languages into the other five, so employees around the world can follow along, Facebook announced.
Facebook said it is also bringing some of the Portal video-calling device’s interesting features such as Artificial Intelligence (AI)-powered Smart Camera and Smart Sound to Workplace Live on Portal so that users can have professional-level broadcasting wherever they are.
The social networking giant also announced that Oculus for Business, an enterprise solution designed to streamline and expand virtual reality in the workplace, is now generally available.
Oculus for Business is built on Workplace, leveraging its security infrastructure and privacy practices. (IANS)