Machines understand numbers, not text. Feature Encoding is the process of converting categorical variables into numerical values. Any dataset contains 2 types of data – numerical and categorical data. Machines have no problem in understanding numerical data. But some of the machine learning algorithms have a problem in understanding categorical data and they have to be converted into numerical data before passing onto the algorithm.

For those who haven't heard of the Universal Data Tool, it is an open-source web or desktop program to collaborate, build and edit text, image, video, and audio datasets with labels and annotations. This is our sixth community update! By releasing these videos, we hope to engage the community and encourage new contributors. This cool new feature allows people to annotate poses in the picture. We are looking for help in the configuration tab for this feature.

Artificial intelligence has become omnipresent in our lives: It offers recommendations about what to purchase straight away, suggests films, gives us insights on traffic patterns, and even customizes advertisements on the web. The most recent expansion to everyday interactions with AI is deepfakes, which are hyper-realistic AI-generated images and videos. In spite of the fact that they're not genuine -- "fake" is in the name, all things considered -- individuals can struggle to recognize the deepfakes from authentic pictures. Likewise, the number of profound learning applications for the field of AI-produced pictures and videos is growing. The present AI-generated images are regularly utilized for aesthetic purposes.

While many know UK company Ocado as an online grocery retailer, it's really one of the most innovative tech companies in the world. Ocado was founded in 2000 as an entirely online experience and therefore never had a brick-and-mortar store to serve its customers, who number 580,000 each day. Its technology expertise came about out of necessity as it began to build the software and hardware it needed to be efficient, productive, and competitive. Today, Ocado uses artificial intelligence (AI) and machine learning in many ways throughout its business. Since 2000, Ocado tried to piece together the technology they needed to succeed by purchasing products off the shelf.

Kuzushiji, a cursive writing style, had been used in Japan for over a thousand years starting from the eighth century. Over 3 million books on a diverse array of topics, such as literature, science, mathematics and even cooking are preserved. However, following a change to the Japanese writing system in 1900, Kuzushiji has not been included in regular school curricula. Therefore, most Japanese natives nowadays cannot read books written or printed just 150 years ago. Museums and libraries have invested a great deal of effort into creating digital copies of these historical documents as a safeguard against fires, earthquakes and tsunamis.

As an engineering director leading research projects into the application of machine learning (ML) and deep learning (DL) to computational software for electronic design automation (EDA), I believe I have a unique perspective on the future of the electronic and electronic design industries. The next leap in design productivity for semiconductor chips and the systems built around them will come from the fusion of fully integrated EDA computational software tool flows, the application of distributed and multi-core computing on a broader scale and ML/DL. The current wave of artificial intelligence (AI) and ML innovation began with improved GPU computing capacity and the smart engineers who figured out how to harness it to accelerate deep neural network training. AI/ML will play a key role in the design of next-generation platforms, enabling the proliferation of today's technology drivers including 5G, hyperscale computing and others. In my role, the fun comes from the numerous non-deterministic polynomial (NP)-hard and NP-complete problems that exist at every stage of the design and verification process.

Metro Manila (CNN Philippines, October 29) – In this era of rapid digitization, every company in the Philippines must accept that the use of artificial intelligence (AI) in office tasks will be more prevalent in the near future, an entrepreneur-turned-author advised. Maulik Parekh, author of the book "Futureproof your Company and Career," emphasized that AI has the ability to perform manual or physical office jobs which will be a game changer in the country's corporate landscape. "The future of career is artificial intelligence. To future-proof yourself in the world of artificial intelligence, you have to be the kind of human that AI cannot replicate," the Indian-born former CEO of business process outsourcing company Inspiro told CNN Philippines on Thursday. For instance, Parekh cited the use of popular video streaming app Netflix where AI is utilized in analyzing the user's viewing habits to provide show or movie suggestions that suit one's preferences.

Here are five reasons more than half of the employers are interested in artificial intelligence. Through AI, you can train more people and improve their learning experience. Gaps in knowledge can be identified and resolved efficiently through AI assessments and training (i.e., turning downtime into productive learning-time). Your team will be more confident in doing their jobs and more prepared than ever. Creating credibility is the key to successful AI implementation.

Artificial intelligence (AI) has gone from being science fiction to an increasingly common part of our lives. TV streaming services use AI and machine learning (ML) to make recommendations of what you might like to watch next, for example, while other AI programmes can carry out rapid trading on the stock market without human intervention. The information security sector hasn't been left untouched by this trend, either. Increasingly, an AI element in cyber security technology is seen less as a nice-to-have and more as an essential part of the package. "AI [has become] an expected feature within cyber security products and services," says Jeff Pollard, Vice President & Principal Analyst at Forrester.