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In the past year, there's been a lot of conversation about immigrants. All this talk made me think about my parents, who emigrated from the Basque region of France and Spain and started small businesses here in the U.S. Growing up in Northern California, I was often embarrassed. I'm ashamed to

There are some amazing things happening with the technology we use to run our business. Intelligence is becoming a reality for companies of all sizes, many of our laborious tasks can be automated, and we’re better able to focus on the best use of our time. In all this though, there is a truth that

Tanya Lushchuk has never been afraid of the unknown. After a successful early career in public relations and digital advertising, she left agency life for an in-house position in a completely different industry: pharmaceutical technology. Working in the Ukrainian tech industry was a big change for

Like many 17-year-olds, Cristina Bran got a job as a waitress. But for her, it wasn’t only about earning extra spending money. She had recently moved to London from Romania and needed to make a new life for herself. Being a waitress wasn’t exactly part of her life plan, though. She had dreamed of

Discover the benefits and challenges of building an IT vendor management strategy to save your organization time and money in the procurement process.

This year’s Dreamforce was jam-packed with sessions covering the latest health and life sciences marketing trends and technologies. Truth be told, it was impossible to take it all in. But no worries, we have you covered. Virtually every session is available on our Salesforce LIVE page. To get you

Deep reinforcement learning (deep RL) is a popular and successful family of methods for teaching computers tasks ranging from playing Go and Atari games to controlling industrial robots.

Speech recognition has been successfully depolyed on various smart devices, and is changing the way we interact with them. Traditional phonetic-based recognition approaches require training of separate components such as pronouciation, acoustic and language model.

Learning to answer open-ended questions about images, a task known as visual question answering (VQA), has received much attention over the last several years. VQA has been put forth as a benchmark for complete scene understanding and flexible reasoning, two fundamental goals of AI.

When humans generate novel neural architectures, they go through a surprisingly large amount of trial and error.