Are machine learning and creativity at odds? In a word: No. And don’t just take it from Google. They sat down with Justin Billingsley, CEO at Publicis Emil; Dawn Winchester, chief digital officer at Publicis North America; Andrew Shebbeare, co-founder and chairman of Essence; and Vijay Sharma, FlipKart’s head of digital media and brand marketing. They explain how creativity is being empowered by the most recent advances in technology, and why great creatives love data and automation.
How robotics (and AI) are changing how we work and live | TECH(talk)
Robotics and AI play increasingly important roles in a variety of industries and no, they’re not here to take over mankind. Keith Shaw, editor-in-chief of Robotics Business Review, joins Ken Mingis and Juliet Beauchamp to discuss the state of robotics in the enterprise. Currently, robots are good at highly specific tasks. But we’re not far away from drones, autonomous vehicles and surgical robots becoming critical parts of daily life.
J2 Global CEO on favoring ‘performance marketing’ over advertising impressions
J2 Global CEO Vivek Shah chats with Jim Cramer about how the digital media company approaches advertising with intentions to convert customers over maximizing exposure.
Artificial Intelligence: Sorting
Charlotte Dungan, Program Architect for NCSSM’s Artificial Intelligence program, discusses the how sorting works in AI systems.
The Rise of Neural Networks
In 1986 the World of Neural Networks was about to change. After decades of silence, finally, a method to efficiently compute the weights in multi-layer Neural Networks was invented. The stage was set for a revolution.
Training Artificial Intelligence – BBC Click
Artificial Intelligence is the subject of an art exhibition at London’s Barbican Museum. It looks at AI data training and how it can be interpreted differently by humans.
Artificial Intelligence VS Machine Learning
Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to perform the task.
Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop a conventional algorithm for effectively performing the task.
AI Learns To Compute Game Physics In Microseconds
The use of faster neural network physics engine processes.
Robotics: Crash Course AI #11
Robots aren’t like humans who can do a lot of different things. They’re designed for very specific tasks like vacuuming our homes, assembling cars in a factory, or exploring the surface of other planets. So even though it may be a while before we have a general household robot that can do it all, robots are still really important because they can do some things incredibly well even better than humans. So today, we’re going to take a look at the role of AI in overcoming three key challenges in the field of robotics: localization, planning, and manipulation.
The Real Business of Blockchain
This video outlines 5 core elements
- Distribution
- Encryption
- Immutability
- Tokenization
- Decentralization