An international campaign takes its battle to outlaw "killer robots" to the UN this week with a new ally – a "peace robot". Created by an inventor from the BBC programme Robot Wars, the droid, known as David Wreckham, has been recruited to deliver a message to world leaders in New York on Monday. The robot will drop a letter to UN diplomats demanding that robots not guided by human remote control which could accidentally start wars or cause mass atrocities should be outlawed by the same type of international treaty that bans chemical weapons. Unlike drones, which are controlled by military teams often thousands of miles away from where they are deployed, critics say that autonomous killer robots have the potential to do disastrous things they were not originally programmed for. Wreckham will also visit the Manhattan headquarters of hi-tech corporations, calling on them to desist from developing technologies for autonomous weapons.

Trilobites of the species Ampx priscus were caught in an avalanche of sediment 480 million years ago as they marched in a single-file line on the seafloor of what is now Morocco. The trilobites go marching one by one, hurrah, hurrah … well, at least they did, some 480 million years ago. New fossils from Morocco show lines of trilobites in orderly queues, likely buried by a storm as they trekked from one place to another under the Ordovician seas in an ancient game of "follow the leader." "I think people think that collective behavior is something new in the course of evolution, but actually sophisticated behavior started very, very early," said study leader Jean Vannier, a paleontologist at the University of Lyon in France. Vannier and colleagues from Marrakech, Morocco, discovered the trilobites in the southern part of Morocco in an area known for well-preserved fossils of animals from the early Ordovician, a geologic period that began about 485 million years ago and is one of six periods that make up the Paleozoic era.

PyTorch is quickly becoming one of the most popular deep learning frameworks around, as well as a must-have skill in your artificial intelligence tool kit. It's gained admiration from industry leaders due to its deep integration with Python; its integration with top cloud platforms, including Amazon SageMaker and Google Cloud Platform; and its computational graphs that can be defined on the fly. In this course, join Jonathan Fernandes as he dives into the basics of deep learning using PyTorch. Starting with a working image recognition model, he shows how the different components fit and work in tandem--from tensors, loss functions, and autograd all the way to troubleshooting a PyTorch network. Jonathan Fernandes works for a consultancy and primarily focuses on data science, AI, and big data.

PyTorch is quickly becoming one of the most popular deep learning frameworks around, as well as a must-have skill in your artificial intelligence tool kit. It's gained admiration from industry leaders due to its deep integration with Python; its integration with top cloud platforms, including Amazon SageMaker and Google Cloud Platform; and its computational graphs that can be defined on the fly. In this course, join Jonathan Fernandes as he dives into the basics of deep learning using PyTorch. Starting with a working image recognition model, he shows how the different components fit and work in tandem--from tensors, loss functions, and autograd all the way to troubleshooting a PyTorch network. Jonathan Fernandes works for a consultancy and primarily focuses on data science, AI, and big data.

PyTorch is quickly becoming one of the most popular deep learning frameworks around, as well as a must-have skill in your artificial intelligence tool kit. It's gained admiration from industry leaders due to its deep integration with Python; its integration with top cloud platforms, including Amazon SageMaker and Google Cloud Platform; and its computational graphs that can be defined on the fly. In this course, join Jonathan Fernandes as he dives into the basics of deep learning using PyTorch. Starting with a working image recognition model, he shows how the different components fit and work in tandem--from tensors, loss functions, and autograd all the way to troubleshooting a PyTorch network. Jonathan Fernandes works for a consultancy and primarily focuses on data science, AI, and big data.

PyTorch is quickly becoming one of the most popular deep learning frameworks around, as well as a must-have skill in your artificial intelligence tool kit. It's gained admiration from industry leaders due to its deep integration with Python; its integration with top cloud platforms, including Amazon SageMaker and Google Cloud Platform; and its computational graphs that can be defined on the fly. In this course, join Jonathan Fernandes as he dives into the basics of deep learning using PyTorch. Starting with a working image recognition model, he shows how the different components fit and work in tandem--from tensors, loss functions, and autograd all the way to troubleshooting a PyTorch network. Jonathan Fernandes works for a consultancy and primarily focuses on data science, AI, and big data.

PyTorch is quickly becoming one of the most popular deep learning frameworks around, as well as a must-have skill in your artificial intelligence tool kit. It's gained admiration from industry leaders due to its deep integration with Python; its integration with top cloud platforms, including Amazon SageMaker and Google Cloud Platform; and its computational graphs that can be defined on the fly. In this course, join Jonathan Fernandes as he dives into the basics of deep learning using PyTorch. Starting with a working image recognition model, he shows how the different components fit and work in tandem--from tensors, loss functions, and autograd all the way to troubleshooting a PyTorch network. Jonathan Fernandes works for a consultancy and primarily focuses on data science, AI, and big data.

PyTorch is quickly becoming one of the most popular deep learning frameworks around, as well as a must-have skill in your artificial intelligence tool kit. It's gained admiration from industry leaders due to its deep integration with Python; its integration with top cloud platforms, including Amazon SageMaker and Google Cloud Platform; and its computational graphs that can be defined on the fly. In this course, join Jonathan Fernandes as he dives into the basics of deep learning using PyTorch. Starting with a working image recognition model, he shows how the different components fit and work in tandem--from tensors, loss functions, and autograd all the way to troubleshooting a PyTorch network. Jonathan Fernandes works for a consultancy and primarily focuses on data science, AI, and big data.

PyTorch is quickly becoming one of the most popular deep learning frameworks around, as well as a must-have skill in your artificial intelligence tool kit. It's gained admiration from industry leaders due to its deep integration with Python; its integration with top cloud platforms, including Amazon SageMaker and Google Cloud Platform; and its computational graphs that can be defined on the fly. In this course, join Jonathan Fernandes as he dives into the basics of deep learning using PyTorch. Starting with a working image recognition model, he shows how the different components fit and work in tandem--from tensors, loss functions, and autograd all the way to troubleshooting a PyTorch network. Jonathan Fernandes works for a consultancy and primarily focuses on data science, AI, and big data.

Hop on YouTube and Have a look. It is generally pretty funny things. It is a tongue-in-cheek honor that recognizes individuals for the most complicated attempts to do something that they believe is cool. One carries a selfie using a wounded bear, yet another one screws a jet engine into a skate. These adventurous activities lead to deadly mistakes with dire effects and humorous remarks.