Goto

Collaborating Authors

 Media


Social Media Companies Remind Us It Is Still Hard To Replace Humans With AI

#artificialintelligence

Companies have rushed to embrace deep learning's potential in their efforts to automate their enterprises, often with an eye towards replacing as much of their human workforce as possible or to scale their operations without expanding their hiring. An endless stream of success stories tout AI's success in replacing an ever-growing array of traditionally automation-resistant jobs, while developers are hard at work finding ways to replace the rest of them. Yet social media platforms give pause to this idea that deep learning is quite at the inflection point of causing a wave of job displacement. Silicon Valley has been at the vanguard of the AI revolution, pioneering the developments that have pushed the field forward. At the same time, those companies have also been hiring vast armies of human workers to augment the limitations of those very same algorithms.


r/MachineLearning - [P] Feature Engineer Optimization in HyperparameterHunter 3.0

#artificialintelligence

A full description of the new feature engineering optimization capabilities can be found in this Medium story. TL;DR: HyperparameterHunter 3.0 adds support for feature engineering optimization. Define different feature engineering steps as normal functions, then let HyperparameterHunter keep track of the steps performed for Experiments, so you can optimize them just like normal hyperparameters, and learn from past Experiments automatically. HyperparameterHunter is a scaffolding for ML experimentation and optimization. Run one-off Experiments or perform hyperparameter optimization, and HH automatically saves the model, hyperparameters, data, CV scheme, and now feature engineering steps, along with much more.



Wikifriend: Enhancing Customer Experience with High-Performing Conversational AI Analytics Insight

#artificialintelligence

Wikifriend offers a platform which uses artificial intelligence-driven conversational technology to facilitate access to digital content that would otherwise require articulated steps for enjoyment. The platform allows businesses to offer a continuous support service guaranteeing a personalized conversational level improving the customer experience. Wikifriend is a human-to-machine conversational interface that facilitates the use of complex computer applications for any person, simply by using voice commands. From brand reputation management in digital media and fake news recognition to Health Care, Financial Services, Home Automation, and Computer Vision, Wikifriend brings disruptive innovation to the industry. Merge German semantic engine and high-security level sounds good to customers?



Macau Regulator Cracks Down on Casinos' Use of Artificial Intelligence

#artificialintelligence

Earlier in the summer, it was announced that some casinos in Macau had begun using facial recognition software.


How to not get Netflix'd: Keller Williams uses AI and its vast scale to modernize ZDNet

#artificialintelligence

What is AI? Everything you need to know about Artificial Intelligence Like just about every other business sector, the real estate industry is quickly learning that data is one of its most valuable assets. After 36 years in the business, Keller Williams has plenty of data to work with -- as well as a vast network of real estate agents it can turn to for help keeping that data fresh and useful. When Neil Dholakia joined Keller Williams as chief product officer in 2017, the company was already intent on modernizing. "We didn't want to be the Blockbuster to Zillow's Netflix, or the Blockbuster to Redfin's Netflix," Dholakia told ZDNet. "You name the company that started up in the last five years, or 10 years for that matter -- they all look at us as an old guard company, and we're the Blockbuster that they're going to Netflix."


A 20-Year Community Roadmap for Artificial Intelligence Research in the US

arXiv.org Artificial Intelligence

Decades of research in artificial intelligence (AI) have produced formidable technologies that are providing immense benefit to industry, government, and society. AI systems can now translate across multiple languages, identify objects in images and video, streamline manufacturing processes, and control cars. The deployment of AI systems has not only created a trillion-dollar industry that is projected to quadruple in three years, but has also exposed the need to make AI systems fair, explainable, trustworthy, and secure. Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in meaningful communication, and improving their awareness through experience. Achieving the full potential of AI technologies poses research challenges that require a radical transformation of the AI research enterprise, facilitated by significant and sustained investment. These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap for AI research and development over the next two decades.


Scale AI and its 22-year-old CEO lock down $100 million to label Silicon Valley's data

#artificialintelligence

"In general, AI and machine learning is just growing so quickly as a field, that it's appropriate to raise this amount that will allow us to capitalize on our …


Rare footage captures the first ever evidence of leopard seals sharing food

Daily Mail - Science & tech

Stunning footage has revealed the first evidence that leopard seals share food -- with the marine mammals caught divvying up a penguin as they feast on their kill. The ground-breaking footage was captured by a drone flying off the coast of the island of South Georgia, in the southern Atlantic. Researchers said that leopard seals are normally regarded as being solitary creatures. The Antarctic predators are largely'intolerant' of each other, but can be forced to hunt alongside each another when congregating in areas of plentiful prey, the experts added. The leopard seal is named for its black-spotted coat, whose pattern is similar to that of the big cat, though the seal's coat is grey rather than golden in colour.