Collaborating Authors

ACCC wants all Android devices to have dedicated screen for choosing search engines


The Australian Competition and Consumer Commission (ACCC) has reiterated its call for Google to implement a mandatory search engine "choice screen" after finding the company's dominance in the online search market has harmed competition and consumers. A choice screen is a setup page that presents consumers with a selection of search engines to use, rather than sending consumers to a preset default search engine. "Choice screens can give consumers the opportunity to make an informed choice about the search engine they use. Choice screens can also help reduce barriers to expansion for competitors to Google, who may offer consumers more options for alternative search engines around issues like privacy and how personal data is collected and used," ACCC chair Rod Sims said. The call was made as part of the competition watchdog's third interim report [PDF] for its five-year Digital Platforms Inquiry, which specifically looked at the market dominance of Google Search.

R-Drop, a simple trick to improve DropOut


In each training step, each data sample goes through a model twice. Each pass is processed by a different sub-model which is sampled by dropout. The authors suggest that to save training cost, the input mini-batch x is a concatenation of ([x, x]) and the inference is not actually called twice. But why does minimizing an additional KL divergence term have an effect on regularizating the model? We will start off by defining symbols.

Senior Software Engineer - Frontend (React)


A senior frontend engineer who is excited to build complex user workflows for claims management and investigation in react. You'll be a key contributor to EvolutionIQs unified claims platform working closely with data science, data engineering teams to build a robust, scalable and intuitive web application. You will have a key role in shaping the future of Evolution IQ's products. From technology choices to building the roadmap, you will have a large amount of ownership and scope in this role. The team will look to you to provide crucial technical expertise and help prioritize features.

Federated Learning: Privacy By Design For Machine Learning


With cyberattacks and data breaches at all-time highs, consumers are increasingly skeptical about sharing their data with enterprises, creating a dilemma for artificial intelligence (AI) that needs massive data to thrive. The nascent technology of federated learning offers an ideal growing alternative for healthcare, life sciences, banking, finance, manufacturing, advertising, and other industries to unleash the full potential of AI without compromising the privacy of individuals. To learn how you can have all the data you need while protecting consumers, read on. The infinite number of massive data breaches that have stripped individuals of their privacy has made the public more aware of the need to protect their data. In the absence of strong governance and guidelines, people are more skeptical than ever about sharing their personal data with enterprises.

How Does Alibaba Use Artificial Intelligence and Machine Learning?


Alibaba is the world's largest e-commerce marketplace. It invests a great deal in artificial intelligence and machine learning to upscale its business to heights. Most of the giant companies along with Alibaba in the Chinese tech market make significant contributions with the help of the Chinese government to build a US$ 1 trillion AI industry by 2030. Alibaba also has seven research labs to focus on artificial intelligence, machine learning, natural language processing, and network security. Let's see how artificial intelligence has transformed Alibaba in diverse ways.

This company is making digital humans to serve the metaverse


In a stark white browser tab, Sam -- a young blonde woman with perfectly shaped lips -- asks me for the solution to 2 2. I immediately think of the infamous Star Trek: The Next Generation episode in which a tortured Captain Picard is shown four lights. If he admits there are five lights, the ordeal will stop. I'm at home, staring at the future face of the metaverse and trying valiantly not to think about memes from a TV show known for its exploration of ethics and humanity. Sam isn't a real person -- she's a digital human created by Auckland-based tech company Soul Machines. Designed to have a short conversation with visitors about herself, she runs on a proprietary "digital brain" and studies my expressions via webcam.

Hallmarks of AI Success in the Enterprise


We're in the midst of a rapid uptake of AI in the enterprise across the board, but there are big differences in the results and the workflows in these AI practices. For its latest "State of AI in the Enterprise" report, Deloitte looked for the commonalities that mark successful AI practices, as well as the practices associated with lower achievement. For its fourth annual AI report, titled "Becoming an AI-fueled organization," Deloitte surveyed 2,875 executives from 11 countries in the Americas, EMEA, and APAC to determine how they're using AI, what kinds of results they're getting, and their underlying practices. Deloitte grouped the companies into four main groups, based on the volume of AI projects and their success rate. Transformers, which accounted for 28% of survey respondents, were characterized by high outcomes and a high number of AI deployments, while Pathseekers, which accounted for 26% of respondents, reporting high outcomes, but a low number of deployments.

La veille de la cybersécurité


LGTBQ people, particularly young LGTBQ people, are one of the world's most marginalized and vulnerable populations. And as a group, young members of the LGBTQ community are at a higher risk of suicide compared to their heterosexual, cisgender peers. In fact, LGBTQ youth are four times more likely to attempt suicide and it is estimated that 1.8 million LGBTQ youth in the US seriously consider taking their own lives each year. Reaching these young people to offer them support in times of crisis is not easy, but it's a challenge that has been tackled by nonprofit organization The Trevor Project since it was founded in 1998. The Trevor Project is the world's largest suicide prevention and crisis intervention organization for lesbian, gay, transgender, queer and questioning young people.

Zelda-like 'Death's Door' heads to PlayStation on November 23rd


Death's Door, one of the best indie games to come out earlier this year, is heading to PlayStation consoles. During Sony's State of Play presentation on Wednesday, Devolver Digital announced it will release the Zelda-like action-adventure game on November 23rd, allowing PlayStation 4 and PlayStation 5 fans to experience it. After the event, Devolver said the game would come to Nintendo Switch on the same day. Released this past summer on PC, Xbox One and Xbox Series X/S, Death's Door is the latest project from Acid Nerve, the studio behind 2015's Titan Souls. You play as a crow whose job it is to collect souls for a bureaucratic organization called the Reaping Commission Headquarters.

Data Analyst - Loyalty, Partnership and Monetization


About the Role If you're looking to be a part of a dynamic, highly analytical team who enjoys working with data, look no further. GoClub is a Gojek loyalty product part of the Loyalty, Partnership & Monetisation (LPM) group. As a Data Analyst specializing in GoClub, you will be building data products to support the team in achieving its business objectives. You are expected to help drive data strategies and business initiatives in GoClub. In addition to this, this role is expected to be a thought partner for leaders across the Gojek group in all things loyalty and retention.