Introducing Heracles! This is another OC of mine based on the Greek hero/god of the same name. (In my AU he’s also Ares’s buff boyfriend) #greekmythology #heracles #gayart #bara

Just something to celebrate the occasion 👀 || Heracles (Hades 2)

#heracles #hades #hades2 #hadesgame

A dark patinated bronze sculpture titled Hercules Skinning the Nemean Lion, attributed to French sculptor François Lespingola, photographed against a neutral gray background. The dynamic multi-figure composition shows a powerfully muscled Hercules standing and straining upward as he hoists the carcass of the Nemean Lion, its limp body hanging inverted beside him. At lower right, a smaller winged figure — a water nymph— crouches and gestures outward holding a laurel branch. The figures are mounted on a rocky naturalistic base.

you've probably seen the statue of #hercules wrestling with the Nemean lion (e.g., trying to give a cat a pill), but have you seen this, much more concerning one where he is.. skinning the lion?!

... the water nymph has the right idea--get the eff away from […]

[Original post on universeodon.com]

Heracles en Excelsior schieten weinig op met 1-1 in degradatiekraker Hekkensluiter Heracles komt op voorsprong in Almelo, maar weet dat niet vast te houden tegen nummer vijftien Excelsior.

🕙 22:05 | NOS Sport
🔸 #Heracles #Excelsior #Degradatie #Almelo #Hekkensluiter

GOAL! 57' — D. Sanches Fernandes scores for Excelsior. Heracles 1–1 Excelsior. Eredivisie #heracles #excelsior #eredivisie

GOAL! 57' — D. Sanches Fernandes scores for Excelsior. Heracles 1–1 Excelsior. Eredivisie

#heracles #excelsior #eredivisie

GOAL! 23' — S. Scheperman scores for Heracles. Heracles 1–0 Excelsior. Eredivisie #heracles #excelsior #eredivisie

GOAL! 23' — S. Scheperman scores for Heracles. Heracles 1–0 Excelsior. Eredivisie

#heracles #excelsior #eredivisie

Pasveer ervaart in Almelo totaal andere druk dan bij Ajax: 'Dan verdwijnen er banen...' Remko Pasveer ervaart als keeper van Heracles Almelo een hele andere druk dan bij Ajax. Met de Amsterdamse club is het doel normaal gesproken om te strijden om de landstitel, terwijl de ploeg uit Almelo zich dit seizoen vooral wil handhaven in de Eredivisie. Tegenover Tubantia legt de voormalig doel...

Pasveer ervaart in Almelo totaal andere druk dan bij Ajax: 'Dan verdwijnen er banen...': Remko Pasveer ervaart als keeper van Heracles Almelo een hele andere druk dan bij Ajax. Met de Amsterdamse club is het doel normaal gesproken om te strijden om de… #Pasveer #Almelo #Ajax #Eredivisie #Heracles

p2

Heracles (Hades 2) || #heracles #hades2 #hadesII #hadesgame #bara #gay #gayart #nsfw

On the flip side of Hercules, I also can't wait to explore my version of Heracles, his evil twin brother. ⚖️

| #Heracles | #GreekMythology | #Supervillain | #Comics | #CharacterDesign | #Lore |

Het lijkt erop alsof #Heracles zich al heeft neergelegd bij degradatie #azher

AZ boekt ruime zege op hulpeloze hekkensluiter Heracles In Alkmaar wordt het 4-0. Door de zege blijft AZ net als voor de 27ste speelronde zesde. Het verschil met nummer vijf FC Twente krimpt.

🕟 16:36 | NOS Sport
🔸 #AZ #Twente #Heracles #Alkmaar #Hekkensluiter

🏁 FULLTIME — AZ Alkmaar 4–0 Heracles. Eredivisie

#azalkmaar #heracles #eredivisie

GOAL! 84' — I. Jensen scores for AZ Alkmaar. AZ Alkmaar 4–0 Heracles. Eredivisie

#azalkmaar #heracles #eredivisie

GOAL! 76' — M. de Wit scores for AZ Alkmaar. AZ Alkmaar 3–0 Heracles. Assist: T. Parrott. Eredivisie

#azalkmaar #heracles #eredivisie

⚽ SECOND_HALF — AZ Alkmaar 2–0 Heracles. Eredivisie

#azalkmaar #heracles #eredivisie

⏸️ HALFTIME — AZ Alkmaar 2–0 Heracles. Eredivisie

#azalkmaar #heracles #eredivisie

GOAL! 45' — S. Mijnans scores for AZ Alkmaar. AZ Alkmaar 2–0 Heracles. Assist: T. Parrott. Eredivisie

#azalkmaar #heracles #eredivisie

GOAL! 19' — J. Wieckhoff scores for Heracles. AZ Alkmaar 1–1 Heracles. Eredivisie

#azalkmaar #heracles #eredivisie

GOAL! 5' — T. Parrott scores for AZ Alkmaar. AZ Alkmaar 1–0 Heracles. Assist: M. de Wit. Eredivisie

#azalkmaar #heracles #eredivisie

⚽ KICKOFF — AZ Alkmaar 0–0 Heracles. Eredivisie

#azalkmaar #heracles #eredivisie

Intel Demos Chip to Compute With Encrypted Data ## Summary * Fully homomorphic encryption (FHE) allows computing on encrypted data without decryption, but it’s currently slow on standard CPUs and GPUs. * Intel’s Heracles chip accelerates FHE tasks up to 5,000 times faster than top Intel server CPUs. * Heracles uses a 3-nanometer FinFET technology and high-bandwidth memory, enabling efficient encrypted computing at scale. * Startups and Intel are racing to commercialize FHE accelerators, with potential applications in AI and secure data processing. Worried that your latest ask to a cloud-based AI reveals a bit too much about you? Want to know your genetic risk of disease without revealing it to the services that compute the answer? There is a way to do computing on encrypted data without ever having it decrypted. It’s called fully homomorphic encryption, or FHE. But there’s a rather large catch. It can take thousands—even tens of thousands—of times longer to compute on today’s CPUs and GPUs than simply working with the decrypted data. So universities, startups, and at least one processor giant have been working on specialized chips that could close that gap. Last month at the IEEE International Solid-State Circuits Conference (ISSCC) in San Francisco, Intel demonstrated its answer, Heracles, which sped up FHE computing tasks as much as 5,000-fold compared to a top-of the-line Intel server CPU. Startups are racing to beat Intel and each other to commercialization. But Sanu Mathew, who leads security circuits research at Intel, believes the CPU giant has a big lead, because its chip can do more computing than any other FHE accelerator yet built. “Heracles is the first hardware that works at scale,” he says. The scale is measurable both physically and in compute performance. While other FHE research chips have been in the range of 10 square millimeters or less, Heracles is about 20 times that size and is built using Intel’s most advanced, 3-nanometer FinFET technology. And it’s flanked inside a liquid-cooled package by two 24-gigabyte high-bandwidth memory chips—a configuration usually seen only in GPUs for training AI. RELATED: How to Compute with Data You Can’t See In terms of scaling compute performance, Heracles showed muscle in live demonstrations at ISSCC. At its heart the demo was a simple private query to a secure server. It simulated a request by a voter to make sure that her ballot had been registered correctly. The state, in this case, has an encrypted database of voters and their votes. To maintain her privacy, the voter would not want to have her ballot information decrypted at any point; so using FHE, she encrypts her ID and vote and sends it to the government database. There, without decrypting it, the system determines if it is a match and returns an encrypted answer, which she then decrypts on her side. On an Intel Xeon server CPU, the process took 15 milliseconds. Heracles did it in 14 microseconds. While that difference isn’t something a single human would notice, verifying 100 million voter ballots adds up to more than 17 days of CPU work versus a mere 23 minutes on Heracles. Looking back on the five-year journey to bring the Heracles chip to life, Ro Cammarota, who led the project at Intel until last December and is now at University of California Irvine, says “we have proven and delivered everything that we promised.” ## FHE Data Expansion FHE is fundamentally a mathematical transformation, sort of like the Fourier transform. It encrypts data using a quantum-computer-proof algorithm, but, crucially, uses corollaries to the mathematical operations usually used on unencrypted data. These corollaries achieve the same ends on the encrypted data.**** One of the main things holding such secure computing back is the explosion in the size of the data once it’s encrypted for FHE,Anupam Golder, a research scientist at Intel’s circuits research lab, told engineers at ISSCC. “Usually, the size of cipher text is the same as the size of plain text, but for FHE it’s orders of magnitude larger,” he said. While the sheer volume is a big problem, the kinds of computing you need to do with that data is also an issue. FHE is all about very large numbers that must be computed with precision. While a CPU can do that, it’s very slow going—integer addition and multiplication take about 10,000 more clock cycles in FHE. Worse still, CPUs aren’t built to do such computing in parallel. Although GPUs excel at parallel operations, precision is not their strong suit. (In fact, from generation to generation, GPU designers have devoted more and more of the chip’s resources to computing less and less-precise numbers.) FHE also requires some oddball operations with names like “twiddling” and “automorphism,” and it relies on a compute-intensive noise-cancelling process called bootstrapping. None of these things are efficient on a general-purpose processor. So, while clever algorithms and libraries of software cheats have been developed over the years, the need for a hardware accelerator remains if FHE is going to tackle large-scale problems, says Cammarota. ## The Labors of Heracles Heracles was initiated under a DARPA program five years ago to accelerate FHE using purpose-built hardware. It was developed as “a whole system-level effort that went all the way from theory and algorithms down to the circuit design,” says Cammarota. Among the first problems was how to compute with numbers that were larger than even the 64-bit words that are today a CPU’s most precise. There are ways to break up these gigantic numbers into chunks of bits that can be calculated independently of each other, providing a degree of parallelism. Early on, the Intel team made a big bet that they would be able to make this work in smaller, 32-bit chunks, yet still maintain the needed precision. This decision gave the Heracles architecture some speed and parallelism, because the 32-bit arithmetic circuits are considerably smaller than 64-bit ones, explains Cammarota. At Heracles’ heart are 64 compute cores—called tile-pairs—arranged in an eight-by-eight grid. These are what are called single instruction multiple data (SIMD) compute engines designed to do the polynomial math, twiddling, and other things that make up computing in FHE and to do them in parallel. An on-chip 2D mesh network connects the tiles to each other with wide, 512 byte, buses. RELATED: Tech Keeps Chatbots From Leaking Your Data Important to making encrypted computing efficient is feeding those huge numbers to the compute cores quickly. The sheer amount of data involved meant linking 48-GB-worth of expensive high-bandwidth memory to the processor with 819 GB per second connections. Once on the chip, data musters in 64 megabytes of cache memory—somewhat more than an Nvidia Hopper-generation GPU. From there it can flow through the array at 9.6 terabytes per second by hopping from tile-pair to tile-pair. To ensure that computing and moving data don’t get in each other’s way, Heracles runs three synchronized streams of instructions simultaneously, one for moving data onto and off of the processor, one for moving data within it, and a third for doing the math, Golder explained. It all adds up to some massive speed ups, according to Intel. Heracles—operating at 1.2 gigahertz—takes just 39 microseconds to do FHE’s critical math transformation, a 2,355-fold improvement over an Intel Xeon CPU running at 3.5 GHz. Across seven key operations, Heracles was 1,074 to 5,547 times as fast. The differing ranges have to do with how much data movement is involved in the operations, explains Mathew. “It’s all about balancing the movement of data with the crunching of numbers,” he says. ## FHE Competition “It’s very good work,” Kurt Rohloff, chief technology officer at FHE software firm Duality Technology, says of the Heracles results. Duality was part of a team that developed a competing accelerator design under the same DARPA program that Intel conceived Heracles under. “When Intel starts talking about scale, that usually carries quite a bit of weight.” Duality’s focus is less on new hardware than on software products that do the kind of encrypted queries that Intel demonstrated at ISSCC. At the scale in use today “there’s less of a need for [specialized] hardware,” says Rohloff. “Where you start to need hardware is emerging applications around deeper machine-learning oriented operations like neural net, LLMs, or semantic search.” Last year, Duality demonstrated an FHE-encrypted language model called BERT. Like more famous LLMs such as ChatGPT, BERT is a transformer model. However it’s only one tenth the size of even the most compact LLMs. John Barrus, vice president of product at Dayton, Ohio-based Niobium Microsystems, an FHE chip startup spun out of another DARPA competitor, agrees that encrypted AI is a key target of FHE chips. “There are a lot of smaller models that, even with FHE’s data expansion, will run just fine on accelerated hardware,” he says. With no stated commercial plans from Intel, Niobium expects its chip to be “the world’s first commercially viable FHE accelerator, designed to enable encrypted computations at speeds practical for real-world cloud and AI infrastructure.” Although it hasn’t announced when a commercial chip will be available, last month the startup revealed that it had inked a deal worth 10 billion South Korean won (US $6.9 million) with Seoul-based chip design firm Semifive to develop the FHE accelerator for fabrication using Samsung Foundry’s 8-nanometer process technology. Other startups including Fabric Cryptography, Cornami, and Optalysys have been working on chips to accelerate FHE. Optalysys CEO Nick New says Heracles hits about the level of speedup you could hope for using an all-digital system. “We’re looking at pushing way past that digital limit,” he says. His company’s approach is to use the physics of a photonic chip to do FHE’s compute-intensive transform steps. That photonics chip is on its seventh generation, he says, and among the next steps is to 3D integrate it with custom silicon to do the non-transform steps and coordinate the whole process. A full 3D-stacked commercial chip could be ready in two or three years, says New. While competitors develop their chips, so will Intel, says Mathew. It will be improving on how much the chip can accelerate computations by fine tuning the software. It will also be trying out more massive FHE problems, and exploring hardware improvements for a potential next generation. “This is like the first microprocessor… the start of a whole journey,” says Mathew.

#Intel Demos Chip to Compute With Encrypted Data

https://spectrum.ieee.org/fhe-intel

#Heracles #HomomorphicEncryption #cybersecurity #cryptography

La puce #Heracles d' #Intel traite des données entièrement chiffrées sans les déchiffrer. Elle est 1 074 à 5 547 fois plus rapide qu'un processeur Intel Xeon à 24 cœurs pour les opérations mathématiques FHE buff.ly/U9yYTSL

🪷 March 11th is a major feast of #Hercules. This statue is #Antinous as #Herakles with lion skin Musée Louvre. Like Hercules, #Antinoos is a divine hero who slew a lion. Hercules slew the #Nemean lion. Antinous slew a man-eater in Egypt. #Heracles is also known for prowess with both genders. 🪷

Intel versleutelt data én berekent tegelijk - TechNieuwsVandaag.nl Intel heeft een nieuwe chip gedemonstreerd die berekeningen uitvoert op versleutelde data. De chip heet Heracles en maakt gebruik van een technologie die ‘fully homomorphic ... Lees verder

Intel versleutelt data én berekent tegelijk

Intel heeft een nieuwe chip gedemonstreerd die berekeningen uitvoert op versleutelde data. De chip heet Heracles en maakt gebruik van een technologie die 'fully homomorphic encryption' (FHE) heet.

#Intel #Heracles #versleuteling

Ai Creation :

Malik Delgaty as Heracles/Hercules.

(I hope Malik will be okay with this tribute) 🙏🏼

@mr-delgaty.bsky.social
#greekmythology #malikdelgaty #hercules #heracles #homoerotica #malebody #malebeauty #gayaiart #aiart #aigay #aigaymen #malepinup

Classic Works Are Funnier Than You Think They Are - Our Sunday Project Hi guys I'm talking about classics again :DD But anyway this one is a lighter post :D Because some person I was talking to dared to say classics were BORING. The auDAcity. Before anyone asks why I'm s...

oursundayproject.com/classic-work...

#abbysubedi, #argonautica, #classics, #heracles, #insults, #odyssey, #PEAK, #terence, #woo #oursundayproject

Heracles Almelo vindt frisse energie: 'Iedereen zal moeten sprinten' Na een week van chaos en verwijten, vluchtte Heracles Almelo naar de rust in Delden. Het mini-trainingskamp leidde tot een gelijkspel tegen FC Utrecht ( 0-0 ). Hoewel het team van Ernest Faber op het ...

Ernest Faber put hoop uit het gelijkspel van Heracles tegen FC Utrecht en vertelt over de rol van 'assistent' Vincent Heilmann. Een verhaal van collega Marco Timmer: www.vi.nl/pro/heracles... #herutr #heracles

LIVE 20.00 uur | Kan Heracles resultaat halen tegen Utrecht in strijd tegen degradatie? Dit is het livetopic voor de VriendenLoterij Eredivisie-wedstrijd van vrijdag 6 maart. Op deze avond staat de wedstrijd Heracles Almelo tegen FC Utrecht op de agenda. De wedstrijd is te zien bij ESPN 2. Volg de wedstrijd van vrijdagavond hier en praat mee! FC Utrecht is bezig aan een goede reeks; he...

LIVE 20.00 uur | Kan Heracles resultaat halen tegen Utrecht in strijd tegen degradatie?: Dit is het livetopic voor de VriendenLoterij Eredivisie-wedstrijd van vrijdag 6 maart. Op deze avond staat de wedstrijd Heracles Almelo tegen FC Utrecht op de… #Eredivisie #Heracles #Utrecht #voetbal #sport

Hij zoekt ergens anders zijn heil, man. #PSV #Heracles #PunIntended

Heracles voegt jonge Heilmann toe aan technische staf Heracles Almelo heeft Vincent Heilmann (29) toegevoegd aan de technische staf van trainer Ernest Faber. De hekkensluiter van de Eredivisie neemt Heilmann over van PSV, waar hij in de jeugdopleiding we...

Heracles Almelo voegt Vincent Heilmann toe aan de technische staf. Niet als hoofdtrainer, maar als assistent, zoals verwacht nadat het verzoek om dispensatie werd afgewezen. www.vi.nl/nieuws/herac... #heracles