Why Machine Learning Needs GPUs
Matrix multiplication and AI: A short primer Continue reading Why Machine Learning Needs GPUs
Collaborate Disseminate
Matrix multiplication and AI: A short primer Continue reading Why Machine Learning Needs GPUs
Are GPUs vulnerable to spectre/meltdown attacks, since they have most of what makes CPUs attackable? Is there any information in the VRAM, that would cause trouble if it was stolen?
Presume adversary Eve has the public key, x_pub for the below encryption scheme;
g**x_priv mod p = h
Where
g is a generator, and is a positive integer
p is an unknown prime
x_priv is the unknown private key
g mod p is a … Continue reading Discrete log problem – Presume adversary Eve has the public key, how can Eve generate all possible private keys?
When building a custom computer rig, most people put the SMPS power supply inside the computer case. [James] a.k.a [Aibohphobia] a.k.a [fearofpalindromes] turned it inside out, and built the STX160.0 – a full-fledged gaming computer stuffed inside a ATX power supply enclosure. While Small Form Factor (SFF) computers are nothing new, his build packs a powerful punch in a small enclosure and is a great example of computer modding, hacker ingenuity and engineering. The finished computer uses a Mini-ITX form factor motherboard with Intel i5 6500T quad-core 2.2GHz processor, EVGA GTX 1060 SC graphics card, 16GB DDR4 RAM, 250GB SSD, …read more
One way to run a compute-intensive neural network on a hack has been to put a decent laptop onboard. But wouldn’t it be great if you could go smaller and cheaper by using a phone instead? If your neural network was written using Google’s TensorFlow framework then you’ve had the option of using TensorFlow Mobile, but it doesn’t use any of the phone’s accelerated hardware, and so it might not have been fast enough.
Google has just released a new solution, the developer preview of TensofFlow Lite for iOS and Android and announced plans to support Raspberry Pi 3. On …read more
Continue reading Smarter Phones In Your Hacks With TensorFlow Lite
Did you ever feel the urge to turn the power of image processing and OCR into music? Maybe you wanted to use motion capture to illustrate the dynamic movement of a kung-fu master in stunning images like the one above? Both projects were created with the same software.
vvvv -pronounced ‘four vee’, ‘vee four’ and sometimes even ‘veeveeveevee’- calls itself ‘a multi purpose framework’, which is as vague and correct as calling a computer ‘a device that performs calculations’. What can it do, and what does the framework look like? I’d like to show you.
Since its first release in …read more
What if we told you that you are likely to have more computers than you think? And we are not talking about things that are computers while not looking like one, like most modern cars or certain lightbulbs. We are talking about the powerful machines hiding in your desktop computer called ‘graphics card’. In the ordinary gaming rig graphics cards that are much more powerful than the machine they’re built into are a common occurrence. In his tutorial [Viktor Chlumský] demonstrates how to harness your GPU’s power to solve a maze.
Software that runs on a GPU is called a …read more
Is Bitcoin Gold the people’s fork? Continue reading Yet Another Bitcoin Fork Aims to Take Power Away From Big Miners
Looking at cracking a WPA/WPA2 handshake predetermined at 8 Characters long only. This means that there are: 208,827,064,576 possible combinations.
Looking at toms hardware page and Rockfish Sec shows you should be able to g… Continue reading AWS Elastic GPU Compute vs WPA2 [on hold]
Google Cloud Platform announced support for some powerful Nvidia GPUs on Google Compute Engine today. For starters, the company is making Nvidia K80 GPUs generally available. At the same time, it’s launching support for Nvidia P100 GPUs in Beta along with a new sustained pricing model. For companies working with machine learning workloads, having access to GPUs in the cloud provides… Read More Continue reading Google Cloud adds support for more powerful Nvidia GPUs