SaiSatish

Joined: August 22, 2023
Articles: 726
Comments: 2

Science Daily

Robot ‘bugs’ that can go just about anywhere

Researchers have created tiny bug-inspired robots that can carry out tasks in hard-to-reach spaces and inhospitable environments. Read More

Science Daily

How can the computer chip predict the future of gene synthesis?

Creating synthetic life could be easily within our grasp soon based on a comparison with the evolution of computer chips. Computer programming and gene synthesis appear to share little in common. But according to an expert, leaps forward in technology…

google-researches

Using Deep Learning to Annotate the Protein Universe

Posted by Maxwell Bileschi, Staff Software Engineer and Lucy Colwell, Research Scientist, Google Research, Brain Team Proteins are essential molecules found in all living things. They play a central role in our bodies’ structure and function, and they are also…

google-researches

Co-training Transformer with Videos and Images Improves Action Recognition

Posted by Bowen Zhang, Student Researcher and Jiahui Yu, Senior Research Scientist, Google Research, Brain Team Action recognition has become a major focus area for the research community because many applications can benefit from improved modeling, such as video retrieval,…

Science Daily

Machine learning improves human speech recognition

To understand how hearing loss impacts people, researchers study people’s ability to recognize speech, and hearing aid algorithms are often used to improve human speech recognition. Researchers explore a human speech recognition model based on machine learning and deep neural…

google-researches

Federated Learning with Formal Differential Privacy Guarantees

Posted by Brendan McMahan and Abhradeep Thakurta, Research Scientists, Google Research In 2017, Google introduced federated learning (FL), an approach that enables mobile devices to collaboratively train machine learning (ML) models while keeping the raw training data on each user’s…

google-researches

Constrained Reweighting for Training Deep Neural Nets with Noisy Labels

Posted by Abhishek Kumar and Ehsan Amid, Research Scientists, Google Research, Brain Team Over the past several years, deep neural networks (DNNs) have been quite successful in driving impressive performance gains in several real-world applications, from image recognition to genomics.…

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Fingertip sensitivity for robots

Striving to improve touch sensing in robotics, scientists developed a thumb-shaped sensor with a camera hidden inside and trained a deep neural network to infer its haptic contact information. When something touches the finger, the system constructs a three-dimensional force…

google-researches

4D-Net: Learning Multi-Modal Alignment for 3D and Image Inputs in Time

Posted by AJ Piergiovanni and Anelia Angelova, Research Scientists, Google Research While not immediately obvious, all of us experience the world in four dimensions (4D). For example, when walking or driving down the street we observe a stream of visual…

Science Daily

Can machine-learning models overcome biased datasets?

Researchers have applied the tools of neuroscience to study when and how an artificial neural network can overcome bias in a dataset. They found that data diversity, not dataset size, is key and that the emergence of certain types of…