U.S. corporations spend $177 billion annually on talent development. But with labor competition intensifying amid the Great Resignation, expectations are growing. Employees are now demanding more diverse opportunities and have become outspoken about what will fuel their motivations and loyalty. Items of high importance include training and progressive diversity, equity, inclusion, and belonging (DEIB) solutions. According to PwC, 85% of women and 74% of men seek employers with diversity and inclusion strategies.

Despite Google's Home Max being officially retired and pulled from sale a couple of weeks ago, the Google Store is once again offering the speaker for sale. While flashing a message saying the device is sold out and prompting customers to try out a pair of the new Nest Audio devices instead, it will still let you check out a Charcoal-colored Home Max speaker for $179. Everything we said in our 2017 review still stands, in that this voice-activated speaker has excellent sound quality and plugs directly into Google's Assistant ecosystem, except it doesn't cost $400 anymore. It's unclear how many unsold units are left, but as Android Police notes, this may be your actual last chance to snag one if you missed out on the Black Friday sales that dropped its price to $150. If $179 isn't quite low enough get you to bite, then check out Google's eBay page, where the device is available in both Charcoal and Chalk with full warranty and free shipping, but adds an extra $20 discount that's available through Thursday.

The Google Home Hub is already a great deal at $149. While it's not quite as full-featured as the second-generation of Amazon's Echo Show, it's still one of the best smart displays you can buy, with excellent smart home support, a compact design, and support for YouTube streaming. But today Target is making it more desirable than ever: The retailer has slashed the price of the Google Home Hub to $99, but that's not all--you'll also get two Google Home Minis for freeRemove non-product link. Some quick math reveals that this deal will save your whopping $149 on the full retail price of all three. If you've been considering either a Google Home Hub or a couple Google Home Minis, you should pounce on this deal.

More units of the Google Home sold in the second quarter than Amazon's Echo. Alexa, have you ceded the market to Google? Let's dive into the number and find out. According to the research firm Canalys, Google sold 5.4 million Google Home speakers in the quarter, compared to 4.1 million for Echo. It's the second quarter in a row that Echo took a backseat to Google.

The creators of Magic: The Gathering were painfully aware that their game might be nothing more than a passing fad. So to maintain public interest they created a high-profile Pro Tour for Magic players, complete with TV coverage and cash prizes. It's a series of events Titus Chalk's new book Generation Decks, which chronicles the rise of the game from misunderstood novelty to pop culture fixture, investigates in detail. "There's a quote in the book from one of the very few executives who was behind the idea at the time, Rick Arons, and he said, 'Your grandmother might not understand what Magic: The Gathering is, but she'll understand what a check for $10,000 is,'" Chalk says in Episode 252 of the Geek's Guide to the Galaxy podcast. The strategy paid off, helping to foster a group of professional Magic players like Jon Finkel and David Williams who grew up in the spotlight and were accustomed to high-stakes card games.

I apologize for the ambiguous title, but it was difficult to compile my question into a sentence. I have a large data-set of paintings, and corresponding class labels generated from their medium. I'm not interested in the output class, but rather the 9216 dimension feature vector generated from the Pool5 layer of the network (I'm using AlexNet). Now, when I generate the class labels from the meta-data assosiated with the painting I'm using the least frequent term as it tends to be more telling. As an example, a painting's medium meta-data may be "Oil and Chalk on Paper"; currently, the least frequent term would have been applied as the target label, in this case "Oil".

I apologize for the ambiguous title, but it was difficult to compile my question into a sentence. I have a large data-set of paintings, and corresponding class labels generated from their medium. I'm not interested in the output class, but rather the 9216 dimension feature vector generated from the Pool5 layer of the network (I'm using AlexNet). Now, when I generate the class labels from the meta-data assosiated with the painting I'm using the least frequent term as it tends to be more telling. As an example, a painting's medium meta-data may be "Oil and Chalk on Paper"; currently, the least frequent term would have been applied as the target label, in this case "Oil".