The growth of the artificial intelligence (AI) industry worldwide -- and Canada specifically -- has revealed that its female researchers face many of the same challenges as they do in the other science, technology, engineering and math (STEM) fields. Underrepresentation, lower hiring rates and limited professional opportunities are all ongoing barriers. However, that may be changing, according to a new study published in the Journal of Informetrics. The authors present an analysis of gender patterns that evolved in the AI field over two decades, from 2000 to 2019. They used social network analysis, natural language processing, statistical analysis and machine learning to examine the space women occupy and the nature of their work in this ever-evolving and increasingly diverse field.
Will a few fines put a stop to the company's facial recognition search platform? Also, they discuss how Clearview's troubles relate to countries being more restrictive about data in general. Finally, they pour one out for Seth Green's lost Bored Ape – RIP NFT! Listen above, or subscribe on your podcast app of choice. If you've got suggestions or topics you'd like covered on the show, be sure to email us or drop a note in the comments! And be sure to check out our other podcasts, the Morning After and Engadget News!
Memorial Day is a major shopping holiday in the US, but nobody wants to spend their long weekend scrolling through marketing emails. Let us save you the trouble. We scoured the web to find actual deals on the gear WIRED reviewers recommend. Below, you'll find great sales on everything from video games to furniture. Don't forget to check back, as we'll be updating this story throughout the weekend.
On a beautiful day in May 2015, I drove the 13 hours from my home in Portland, Oregon, to Harris Ranch, California, halfway between San Francisco and Los Angeles. At the time, Tesla was touting a battery-swap station that could send Tesla drivers on their way in a fully powered vehicle in less than the time it takes to fill up a car with gas. Overtaken by curiosity, I had decided to spend a long Memorial Day weekend in California's Central Valley to see if Elon Musk's latest bit of dream weaving could stand up to reality. There, amid the pervasive stench of cow droppings from a nearby feedlot, I discovered that Tesla's battery swap station was not in fact being made available to owners who regularly drove between California's two largest cities. Instead, the company was running diesel generators to power additional Superchargers (the kind that take 30 to 60 minutes to recharge a battery) to handle the holiday rush, their exhaust mingling with the unmistakable smell of bullshit.
Today, cybersecurity is in a state of continuous growth and improvement. In this on-demand webinar, learn how two organizations use a continuous AI feedback loop to identify vulnerabilities, harden defenses and improve the outcomes of their cybersecurity programs. The security risk landscape is in tremendous flux, and the traditional on-premises approach to cybersecurity is no longer enough. Remote work has become the norm, and outside the office walls, employees are letting down their personal security defenses. Cyber risks introduced by the supply chain via third parties are still a major vulnerability, so organizations need to think about not only their defenses but those of their suppliers to protect their priority assets and information from infiltration and exploitation.
The health care revolution is not just an opportunity but an urgent and essential need. Our existing health care models are not sustainable in the long run. The cost of health spending continues to rise with the rapid worldwide growth of costly chronic diseases. Meanwhile, the global health care workforce faces a predicted shortfall of 18 million health workers by 2030, a gap which will accelerate the necessary adoption of digital technologies. Yet while these trends are widely acknowledged, health care organizations and stakeholders need to recognize that we now also have the tools for transformation, which will not only drive efficacy of care and personalization, but also, and equally importantly, better access and efficiency.
We aren't saying that the massacre didn't happen in Texas and in no way would ever be able to write words that would ease the pain of those parents and family members of the slain children in the Texas Massacre. What is wrong with the narrative is something you probably hadn't heard yet despite the relentless media coverage of the massacre. What would you think If you learned that the school district that the shooting occurred in had Artificial Intelligence Software, that is sold commercially, that is meant to monitor social media for threats of violence against schools and the students. That is exactly what was in place in Uvalde, Texas when the shooting occurred. Worse yet, the software company lists threats of school shootings as one of the features the artificial intelligence is designed to catch before a mass shooting has occurred. In theory, the software catches these threats and reports them to law enforcement so they can respond in time to prevent the tragedy or at least help save as many lives as possible.
One of the best places to start when building a smart home ecosystem is smart lights. Not only are they relatively affordable compared to other IoT gadgets, often costing between $10 and $50 a bulb, but they can also completely change the feel of your home. You can go from boring and analogue to colorful and automated within minutes, and there are endless possibilities when it comes to creating funky-colored light scenes, setting schedules and more. But like the rest of the smart home space over the last few years, there are now more players in smart lighting than ever before. We tested out some of the most popular smart lights on the market and found that most of them are quite good, but there are differences in compatibility, color quality and mobile app usability that are worth considering before deciding which system will be right for your home.
It is a comprehensive course that shows how you can build a stylish web app with machine learning at the backend to predict the future price of any cryptocurrency. The main course has a mini crash course on Python for newbies and culminates into the theory and practice of Machine Learning and its predictive modeling application on cryptocurrencies. At the end of this course, you will be able to develop a full-fledged web app that will take in data (available for free on the Internet). As you will provide the data to the web app, the web app having its predictive machine learning model at the backend will spit out the future prices of a cryptocurrency. The course includes all the code for the web app, and with a tiny tuning in the code, you can adjust the web app to predict the prices of any cryptocurrency.