We're used to medical chatbots giving dangerous advice, but one based on OpenAI's GPT-3 took it much further. If you've been living under a rock, GPT-3 is essentially a very clever text generator that's been making various headlines in recent months. Only Microsoft has permission to use it for commercial purposes after securing exclusive rights last month. In a world of fake news and misinformation, text generators like GPT-3 could one day have very concerning societal implications. Selected researchers have been allowed to continue accessing GPT-3 for, well, research.

Recently, We have worked on an interesting Project, in which, we have explored the Sentiment Analysis for the Movie Reviews Dataset from Kaggle using different types of LSTMs and achieved good accuracies respectively. Long Short Term Memory Networks are a special kind of RNNs, capable of learning long-term dependencies. We have worked on Sentiment Analysis for Movie Reviews dataset. As we can see the data has four columns, in which the Phrase column has the reviews provided by the users and for which the respective Sentiment column is divided into five categories i.e., from '0'(very bad) to '4'(very good), as shown below: Now, as we have got an idea about the dataset, we can go with Preprocessing of the dataset. After the preprocessing is completed, we split the data into train and test datasets.

For Bollywood, beautiful women have fair skin, according to an Artificial Intelligence (AI)-based computer analysis which reveals that conception of beauty has remained consistent through the years in the film industry centred in Mumbai. The automated computer analysis was led by Indian-origin researchers at Carnegie Mellon University (CMU) in the US. The research revealed that babies whose births were depicted in Bollywood films from the 1950s and 60s were more often than not boys; in today's films, boy and girl newborns are about evenly split. In the 50s and 60s, dowries were socially acceptable; today, not so much. The researchers, led by Kunal Khadilkar and Ashiqur KhudaBukhsh of CMU's Language Technologies Institute (LTI), gathered 100 Bollywood movies from each of the past seven decades along with 100 of the top-grossing Hollywood moves from the same periods.

However, the latest videos of the movie star are not actually of him. The 58-year-old actor is seen in the videos doing simple things like magic tricks, telling jokes and playing golf, but account user @deeptomcruise is actually using "deepfakes" to get Tom Cruise's face in the video. A TikTok account of Tom Cruise has popped up … but there's a twist. The user is using "deepfakes", manipulated AI technology. Deepfakes are manipulated AI technology that can mimic people's faces in videos.

I'm bored with nothing to do on the weekend, so I developed a package that makes it easy to access the DialoGPT-based open domain chatbot and wrote. As shown in the picture, three lines of code allow you to communicate with artificial intelligence and provide various options changes and automatic history management. If you want to talk to artificial intelligence, install it and use it!

Join our XPotential Community, future proof yourself with courses from XPotential University, connect, watch a keynote, or browse my blog. We've all seen that moment in a cop TV show where a detective is reviewing grainy, low-resolution security footage, spots a person of interest on the tape, and nonchalantly asks a CSI technician to "enhance that." A few keyboard clicks later, and voila they've got a perfect, clear picture of the suspect's face. This, of course, doesn't work in the real world as many film critics and people on the internet like to point out, although thanks to Google RAISR technology, which, like the movies uses Artificial Intelligence (AI) to enhance crappy images, it's not as far away as you might think. However, while movie buffs and bad photographers will have to wait real-life scientists have now developed their own amazing image enhancement tool – one that improves the resolution and accuracy of powerful microscopes that are used to reveal insights into biology and medicine and which let's them see atoms in never before possible "amazing detail."

It recently acquired a healthcare machine learning start-up in exchange for 300 million Canadian dollars in stock.

… are ensuring that our team in India is future-ready and is constantly leveraging newer technologies including machine learning, artificial intelligence, …

They are also using machine learning to help the Surveyor sense and respond to its surroundings when it's out at sea. "We have to make sure the sonar …

Learn to solve business problems using data science, machine learning practically & build real world project with python What you'll learn Description "Algorithms that parse data, learn from that data, and then apply what they've learned to make informed decisions" An easy example of a machine learning algorithm is an on-demand music streaming service. For the service to make a decision about which new songs or artists to recommend to a listener, machine learning algorithms associate the listener's preferences with other listeners who have a similar musical taste. This technique, which is often simply touted as AI, is used in many services that offer automated recommendations. Machine learning fuels all sorts of automated tasks that span across multiple industries, from data security firms that hunt down malware to finance professionals who want alerts for favorable trades. The AI algorithms are programmed to constantly be learning in a way that simulates as a virtual personal assistant--something that they do quite well.