The history of machine learning algorithms
In 1957, American psychologist Frank Rosenblatt designed the perceptron, the first neural network stimulating the thought processes of the human brain.
In 1957, American psychologist Frank Rosenblatt designed the perceptron, the first neural network stimulating the thought processes of the human brain.
The 600M parameter Conformer model without close attention is called Conformer Applied to Paralinguistics (CAP).
NVIDIA’s Jensen Huang launched the Omniverse Replicator, “an engineer for generating synthetic data with ground truths for training AI networks”.
We can train a model to accept a new type of card in 72 hours. So, if we have the data, we can launch in a new country in 72 hours.
DeepCTRL is now being evaluated on machine learning use cases in physics and healthcare, both of which rely heavily on rules.
After a pandemic-driven start to 2020, enterprises across industries realised the significance of AI and Data Sciences. Its adoption accelerated, and leaders correctly predicted growth
The Israeli startup DeepDub claims that it can dub films, television shows, and video games while retaining the pitch and tone of the original actors
It is unhelpful to reduce China’s rapid AI development into a simplistic narrative about China as a threat or as a villain.
The year 2021 has witnessed publications like the AACR, Wiley, and Frontiers, leveraging AI on their peer-reviewed manuscripts to identify duplicated images and alert the editors automatically.
The open-source pipeline combines AI models for motion, facial gestures, and voice, enabling the creation of a variety of audio and video outputs.
Tools like FakeApp and DeepFaceLab have already made the creation of deepfakes accessible to the masses.
Compared to most other machine learning models, foundation models are characterised by a vast increase in training data and complexity
Israeli synthetic media startup D-ID wants to disrupt production of Hollywood movies with artificial intelligence.
This is one of the top voted thesis papers from upGrad’s online working professional programs in partnership with one of the UK’s leading universities.
Companies like Uber and Amazon authenticate employees with selfies.
The Translatotron 2 model consists of a source speech encoder, a target phoneme decoder, and a target mel-spectrogram synthesiser.
You are successful, and I am successful, and I’m wondering: Are you happy?
Deepfake and Face Swapping have emerged as a new trend in the past few years. As crazy as this technology sounds and has been introduced
This week the United States sub-committee for antitrust has dished out five bills that can end the “monopolisation” of power by Google, Facebook, Apple and
Deep video understanding is one of the most challenging tasks in computer vision. With the rise of computing power and the amount of video data
Facebook AI introduced a new dataset, Casual Conversations, to measure the robustness of AI models.
Deep neural network models have witnessed significant success in modern computer vision pipelines. Deep Nostalgia utilises Generative Adversarial Networks (GANs) to animate faces in still
Deep Nostalgia has created a lot of buzz in the industry, where people are using the AI-based app to animate their old family pictures into
Bhagat Singh, Marie Curie, Charles Darwin, and other historical figures were momentarily ‘brought back to life’ via Deep Nostalgia – an AI tool released by
Social media play a huge part in the circulation of the latest news and information. On the flip side, the platforms are grappling with issues
In this article, we will discuss the various image datasets that are readily available for training machine learning models.
Deepfake videos in themselves evoke a range of emotions — a light-hearted chuckle, disgust, and even downright horror– depending on what purpose it has been
Following MIT, researchers at NVIDIA have recently developed a new augmented method for training Generative Adversarial Networks (GANs) with a limited amount of data. The
Recently, researchers from Shanghai Tech University introduced a new GAN-based framework that can perform human image synthesis by using a 3D body mesh recovery module,
Artificial Intelligence has to be one of the most impactful technologies that the world has seen in recent years. It is no longer just limited
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