Most seasoned singles know that dating culture can be broken up into hookup culture and something much more serious. Most online dating sites are a mix of both, and after living with online dating as an increasingly ubiquitous option for the past 20 years, the general public tends to see dating sites as a normal means of finding casual dates or a hookup. But what if you're looking for a serious relationship that lasts? What if you just don't want to be alone on Valentine's Day ever again? What if you're over casual dating and just want someone consistent to hang out with?

Senior dating isn't easy, but it's not nearly as tough as you think. Dating at any age is tricky -- and being over 60 in the dating world could actually have its perks. There's a reason why post-retirement age could be the happiest time of your life. Yes, there may be fewer potential partners in the dating pool, but if you think about it, that just makes everything less overwhelming. And now that online dating is hot and heavy for the over 60 crowd, it's easier than ever to track down that special someone.

Dating when you're 40 or older can be intimidating -- unlike when you're in your 20s or 30s, you can't just assume everyone your age is single and looking for love. If you're back in the game, it's important to remember that around half of marriages end in divorce, so the dating pool might not be as small as you might think. Meeting people in real life still happens, but sometimes it's easier and less intimidating to meet people online. There's a comfort in knowing that the people you find on dating apps are single and looking for a romantic relationship, so at least you're both on the same page from the start. What we're trying to say is that there is nothing to fear about dating again at 40.

With the threat landscape constantly evolving and increasing in complexity, continued digital innovation, technological developments, and the introduction of 5G, coupled with the challenges of accelerated remote working practices and a growing cybersecurity skills gap, have collectively exacerbated the challenges that CISOs face in terms of protecting their companies' digital assets. However, enhancing AI solutions with machine learning, augmented intelligence, and analytics capabilities, among others, lets CISOs create a much stronger cybersecurity ecosystem for their organisation. "To reinforce a robust cybersecurity ecosystem, CISOs must develop strategic, proactive cybersecurity approaches that leverage AI-driven solutions to act on threat intelligence. In addition to leveraging solutions like augmented intelligence, analytics, and machine learning combined with AI, CISOs should consider resourcing their IT and security teams with the right people to strengthen their security strategy. "However, CISOs can improve efficiencies and strengthen their security operations by leveraging AI solutions and tools, particularly those with built-in automation and integration, to alleviate the pressure on IT teams without reducing the effectiveness of the security strategy." With the threat landscape constantly evolving and increasing in complexity, continued digital innovation, technological developments, and the introduction of 5G, coupled with the challenges of accelerated remote working practices and a growing cybersecurity skills gap, have collectively exacerbated the challenges that CISOs face in terms of protecting their companies' digital assets. However, enhancing AI solutions with machine learning, augmented intelligence, and analytics capabilities, among others, lets CISOs create a much stronger cybersecurity ecosystem for their organisation. "To reinforce a robust cybersecurity ecosystem, CISOs must develop strategic, proactive cybersecurity approaches that leverage AI-driven solutions to act on threat intelligence.

Consider this scenario-- we're AI engineers, and we're building a social media monitoring application to track the sentiment of Fortune 500 company mentions in the news. Following the advice we saw on Twitter this morning, we start with an end-to-end multi-billion parameter language model to extract mentions of companies and classify each one as positive, neutral, or negative. After training our model, we're disappointed to find that our end-to-end score is much lower than expected. What should we do from here? Are they due to missing company mentions?

Profession drone pilots needs to consider that they will be generating huge amounts of data in the form of photos and video. High quality images, along with 4K and even 5.4K video takes up a crazy amount of space, and if you don't plan for it right at the start, you're quickly going to get swamped by it. I've been a pro-am photographer for years and know just how quickly gigabytes can fill up, but even that didn't prepare me for getting into drone photography and videography. Must read: Why you need to urgently update all your iPhones, iPads, and Macs - NOW! There's are two aspects to handling the photos and video once they have been captured onto high-quality microSD cards (I only use SanDisk Pro or Extreme Pro cards from reputable suppliers -- cheap cards can't handle the data speeds needed for 4K and 5.4K, and fake cards are hugely unreliable). The first is ingesting the data off the cards, and the second is storage.

It's hard to escape artificial intelligence. From algorithms curating social media feeds to personal assistants on smartphones and home devices, AI has become part of everyday life for millions of people across the world. The future of that human-tech relationship may one day involve AI systems being able to learn entirely on their own, becoming more efficient, self-supervised and integrated within a variety of applications and professions. But some on social media claim this evolution toward AI autonomy has already happened. "Facebook recently shut down two of its AI robots named Alice & Bob after they started talking to each other in a language they made up," reads a graphic shared July 18 by the Facebook group Scary Stories & Urban Legends.

All the sessions from Transform 2021 are available on-demand now. Conversational messaging platform Gupshup today announced that it raised $240 million led by Tiger Global Management, with participation from Fidelity Management, Think Investments, Malabar Investments, Harbor Spring Capital, and others. The tranche, which values the company at $1.64 billion, will be used to build new tools, infrastructure, and services while expanding Gupshup's global reach, CEO Beerud Sheth said. The pandemic has accelerated digital transformation for enterprises, in some cases driving the need for messaging services. Offline businesses are moving online while online businesses are offering more products, and both are looking for tools to better engage customers.

It can be exciting when a brand like Amazon drops new versions of its devices, but it can also be overwhelming to figure out which one is best for you (and if it's worth paying more than its original version). Amazon released their newest versions of the Echo Show 5 and the Echo Show 8. After testing both of them, I'll walk you through what's the same, what's different, what they bring to the table compared to the 1st gen versions -- and which one you should buy. The new Echo Show 5 sells for $84.99, and the updated Echo Show 8 for $129.99. The Echo Show 5 Kids is available for $94.99, and if you're ready to upgrade you can get 25% off any of these devices with a trade-in.

Each year, PhD students from around the world apply for the Facebook Fellowship, a program designed to encourage and support promising doctoral students who are engaged in innovative and relevant research in areas related to computer science and engineering. Fellowship recipients receive tuition funding for up to two years to conduct their research at their respective universities, independently of Facebook. To learn about award details, eligibility, and more, visit the program page below. Xinyun is a PhD student at UC Berkeley working with Professor Dawn Song and is expected to graduate in 2022. Her research explores the intersection of deep learning, programming languages, and security, focused on neural program synthesis and adversarial machine learning (ML).