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Gynandromorphy produced a bee with half of its body displaying female features, and the other half of its body showing male traits.

Rare bee has a body that’s half-male, half-female, and split exactly down the middle : Read more

“When the nest was collected, the bee was a larva enclosed in a brood cell, a chamber in the honeycomb where young bees grow,…” Megalopta, or sweat bees do not form honeycomb. These bees nest in excavations in dead wood. https://www.researchgate.net/figure/Cut-away-view-of-a-nest-of-Megalopta-genalis-showing-the-nest-structure-and-cells-the_fig3_227655294

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Watch the all-new official trailer and RAZE HELL when DOOM Eternal launches on 03.20.20.

Hell’s armies have invaded Earth. Become the Slayer in an epic single-player campaign to conquer demons across dimensions and stop the final destruction of humanity.

The only thing they fear… is you.

Pre-Order DOOM Eternal to get a free digital download of DOOM 64. Pre-orders of DOOM Eternal also include the Rip and Tear Pack, which comes with:
- DOOT Revenant Skin
- Cultist Base Master Level
- Throwback Shotgun Weapon Skin

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Join the Slayers Club, the official DOOM fan club, at SlayersClub.com for exclusive rewards.

“It’s good to hear your voice, you know it’s been so long If I don’t get your calls, then everything goes wrong… Your voice across the line gives me a strange sensation” — Blondie, “Hanging on the Telephone”

In 1978, Debbie Harry propelled her new wave band Blondie to the top of the charts with a plaintive tale of yearning to hear her boyfriend’s from afar and insisting he not leave her “hanging on the telephone.”

But the questions arises: What if it were 2020 and she was speaking over VOIP with intermittent packet losses, audio jitter, network delays and out-of-sequence packet transmissions?

Despite the huge contributions of deep learning to the field of artificial intelligence, there’s something very wrong with it: It requires huge amounts of data. This is one thing that both the pioneers and critics of deep learning agree on. In fact, deep learning didn’t emerge as the leading AI technique until a few years ago because of the limited availability of useful data and the shortage of computing power to process that data.

Reducing the data-dependency of deep learning is currently among the top priorities of AI researchers.

In his keynote speech at the AAAI conference, computer scientist Yann LeCun discussed the limits of current deep learning techniques and presented the blueprint for “self-supervised learning,” his roadmap to solve deep learning’s data problem. LeCun is one of the godfathers of deep learning and the inventor of convolutional neural networks (CNN), one of the key elements that have spurred a revolution in artificial intelligence in the past decade.