Archives for uc berkeley
IBM’s latest breakthrough in quantum computing will probably catapult further developments in quantum space
The post IBM Brings an Optimistic Future for Quantum Computing appeared first on Analytics India Magazine.
UC Berkeley has released a dialogue model for research purposes—Koala. Here’s a link to the web demo: https://bit.ly/3zxXCrC Koala has been trained by fine-tuning Meta’s LLaMA on dialogue data which was scraped from the web—with a particular focus on responses to queries from other large language models like ChatGPT, in addition to question answering datasets […]
The post UC Berkeley Releases Koala, For Research Purposes appeared first on Analytics India Magazine.
Even though the enterprise was harnessing the powers of generative AI in 2022, if we talk about research, 2022 was definitely the year of protein fold predictions
The post 2022 was The Year of Protein Fold Prediction Models. Wait, What? appeared first on Analytics India Magazine.
‘Data-driven’ vs ‘simulation-driven’ approach to build hardware accelerators, according to Google
Recently, a team of researchers from UC Berkeley and Adobe Research proposed a new machine learning model known as Swapping Autoencoder, which has the capability to perform image manipulation. The key idea of this research is to encode a picture into 2 independent components and then enforce that any swapped combination maps to a realistic…
The post Latest Model That Might Replace GANs To Create Deepfakes appeared first on Analytics India Magazine.
Recently, researchers from DeepMind, UC Berkeley and the University of Oxford introduced a knowledge distillation strategy for injecting syntactic biases into BERT pre-training in order to benchmark natural language understanding. Bidirectional Encoder Representation from Transformers or BERT is one of the most popular neural network-based techniques for natural language processing (NLP) while pre-training. At the…
The post How Syntactic Biases Help BERT To Achieve Better Language Understanding appeared first on Analytics India Magazine.
Recently, researchers at Alphabet’s DeepMind and the University of California, Berkeley proposed an AI framework for comparing child and AI agent behaviours and hence developing new exploration techniques. While developing a reinforcement learning agent, there are several questions related to the exploring behaviour that comes into the mind of researchers — how should an agent…
The post DeepMind Compares How Children And AI Explore The World appeared first on Analytics India Magazine.
Reinforcement Learning With Augmented Data Is So Superior It Beats Google & DeepMind Hands-down
From teaching a robot to drive itself off-road to adapting to never-before-seen tasks and grasping occluded objects, University of California, Berkeley, has been investing and doing a number of researches around self-learning techniques. Recently, researchers at UC Berkeley open-sourced reinforcement learning with Augmented Data (RAD). It is a simple plug-and-play module that can be used…
The post Reinforcement Learning With Augmented Data Is So Superior It Beats Google & DeepMind Hands-down appeared first on Analytics India Magazine.