24 Mar

The Internet Of Behaviours And How Ready We Are

In 2012, Gote Nyman, a retired professor from the University of Helsinki, said an explosion of apps and services that get information directly from individuals and communities is imminent. At the time, Nyman was trying to figure out the limitations Internet of Technology (IoT) needed to overcome to predict behaviours. Today with 17.1 billion IoT…

The post The Internet Of Behaviours And How Ready We Are appeared first on Analytics India Magazine.

24 Mar

Behind Facebook’s TimeSformer: A New Video Architecture Based Purely On Transformers

image-21145
image-21145

“TimeSformer is the first video architecture that’s based purely on Transformers” Facebook AI Recently, researchers from Facebook AI have introduced a new video architecture known as TimeSformer. TimeSformer (Time-Space Transformer) is built exclusively on self-attention architectures, i.e. Transformers. In a paper called “Is Space-Time Attention All You Need for Video Understanding?” the researchers claimed that…

The post Behind Facebook’s TimeSformer: A New Video Architecture Based Purely On Transformers appeared first on Analytics India Magazine.

24 Mar

Behind Facebook’s TimeSformer: A New Video Architecture Based Purely On Transformers

image-21144
image-21144

“TimeSformer is the first video architecture that’s based purely on Transformers” Facebook AI Recently, researchers from Facebook AI have introduced a new video architecture known as TimeSformer. TimeSformer (Time-Space Transformer) is built exclusively on self-attention architectures, i.e. Transformers. In a paper called “Is Space-Time Attention All You Need for Video Understanding?” the researchers claimed that…

The post Behind Facebook’s TimeSformer: A New Video Architecture Based Purely On Transformers appeared first on Analytics India Magazine.

24 Mar

Why Is VMware Acquiring Mesh7?

VMware is all set to acquire cloud-based application security startup Mesh7. With this acquisition, VMware hopes to boost its Kubernetes, microservices, and cloud-native services. “Once the deal closes, the Mesh7 technology will enable VMware to bring visibility, discovery, and better security to APIs,” said Tom Gillis, senior vice president and general manager of VMware’s Networking…

The post Why Is VMware Acquiring Mesh7? appeared first on Analytics India Magazine.

24 Mar

Why Is VMware Acquiring Mesh7?

VMware is all set to acquire cloud-based application security startup Mesh7. With this acquisition, VMware hopes to boost its Kubernetes, microservices, and cloud-native services. “Once the deal closes, the Mesh7 technology will enable VMware to bring visibility, discovery, and better security to APIs,” said Tom Gillis, senior vice president and general manager of VMware’s Networking…

The post Why Is VMware Acquiring Mesh7? appeared first on Analytics India Magazine.

23 Mar

Guide To Catalyst – A PyTorch Framework For Accelerated Deep Learning

image-21129
image-21129

Catalyst is a PyTorch framework developed with the intent of advancing research and development in the domain of deep learning. It enables code reusability, reproducibility and rapid experimentation so that users can conveniently create deep learning models and pipelines without writing another training loop. Catalyst framework is part of the PyTorch ecosystem – a collection…

The post Guide To Catalyst – A PyTorch Framework For Accelerated Deep Learning appeared first on Analytics India Magazine.

23 Mar

Guide To Catalyst – A PyTorch Framework For Accelerated Deep Learning

image-21128
image-21128

Catalyst is a PyTorch framework developed with the intent of advancing research and development in the domain of deep learning. It enables code reusability, reproducibility and rapid experimentation so that users can conveniently create deep learning models and pipelines without writing another training loop. Catalyst framework is part of the PyTorch ecosystem – a collection…

The post Guide To Catalyst – A PyTorch Framework For Accelerated Deep Learning appeared first on Analytics India Magazine.

23 Mar

Guide To Catalyst – A PyTorch Framework For Accelerated Deep Learning

image-21127
image-21127

Catalyst is a PyTorch framework developed with the intent of advancing research and development in the domain of deep learning. It enables code reusability, reproducibility and rapid experimentation so that users can conveniently create deep learning models and pipelines without writing another training loop. Catalyst framework is part of the PyTorch ecosystem – a collection…

The post Guide To Catalyst – A PyTorch Framework For Accelerated Deep Learning appeared first on Analytics India Magazine.