If you don’t deploy AI and your competition has got AI. Are you not in the market dead zone where you have to battle this margin erosion as compared to the margin enhancement that the other person is going to get? So the question, really do we have a choice?
The Neural Information Processing Systems conference, one of the most prestigious events for machine learning and artificial intelligence, kicked off its 32nd year on Sunday in Montreal with an expo, the first time the show has ever invited large tech companies such as IBM and Microsoft to take show booths and give demonstrations of their research.
These range from a new AI hardware-accelerator architecture, fully managed cloud services for diverse enterprise AI use cases, and even a prototype miniature autonomous vehicle powered by a cutting-edge AI modeling and training methodology.
Apple has been on a AI-centric hiring spree this year, having lured over Google’s former AI chief to head a new team combining its core machine learning and Siri groups as well as numerous software engineers. Somewhere along the way it also quietly acquired privacy-centric AI startup Silk Labs, per The Information.
Have you ever wondered why Siri and Alexa were designed feminine? Are you worried about the impact that sex robots might have on society? As we are called to be critical of gender stereotypes and root out the gender bias that works its way into our technology, it’s worth questioning where that bias comes from and how it is coded in the first place.
The idea of preserving a person through their speech is not new. In an 1878 essay, Thomas Edison proclaimed that his phonograph—the first device to reproduce recorded sound—would “annihilate time and space and bottle up for posterity the mere utterance of man.”
IBM Research partnered up with one of the top producers of flavors and fragrances, Symrise, to create an perfume-concocting AI. Named Philyra, after the Greed goddess of fragrance, it uses machine learning to sift through thousands of ingredients, formulas and industry trends to derive what IBM considers to be unique combinations.
Like most technologies, the artificial intelligence world is littered with insider jargon. Here is a non-exhaustive glossary.
When Alexander Reben began feeding thousands of inspirational expressions he scraped off the Internet into an algorithm he designed, he wasn’t sure what might happen next.