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Additionally, iProov reveals a 295 percent yearly increase in biometric attacks that use novel face swaps. Using this technique, attackers generate synthetic images with AI, either replacing the face of the victim with a video of him to bypass liveness checks or with the face of the attacker itself.

But beyond deep fakes and other more rudimentary presentation attacks where identities are spoofed using masks or other presentation techniques, another type of attack is gaining ground: digital injection.

Salesforce is leading a financing round in Hugging Face, one of the most highly valued startups helping businesses use artificial intelligence, at a valuation north of $4 billion, according to two people with knowledge of the situation. The roughly $200 million funding round more than doubles the share price and private valuation of the New York–based company, one of these people said.

Salesforce is paying a high price for a piece of Hugging Face, which runs a service that helps companies store and use AI software, similar to the way GitHub lets developers store software code. The new funding valued the startup at more than 100 times its annualized revenue, a measure of how much revenue the company would generate over the next 12 months at its current rate, one of the people said.

High-resolution 3D retina images have specific markers that can indicate the risk of Parkinson’s in a person. A new AI program can identify these markers and tell whether or not you have the disease.

Although Parkinson’s disease (PD) is incurable, a non-profit National Council of Aging report suggests that early detection and treatment could help patients live a long and productive life even with the disease.

However, in reality, even by the age of 50, less than 10 percent of patients are diagnosed. In fact, most PD patients found out about the condition in their 60s, and by then, it is too late for any treatment to work effectively.

The report further says 40 percent of workers will need to polish their skills due to the implementation of AI.

Artificial intelligence (AI) won’t replace employees anytime soon. But people who use AI will replace people who don’t, said tech giant IBM in its report, which talks about the implications of AI in businesses.

Companies are rapidly introducing AI into their workings to free up their employees’ time so they can focus on issues that require their personalized attention. The thing about AI is that it will do exactly what you train it to do. So, the hyperboles around the latest technology snatching away people’s jobs and taking over humanity can calm down.

In its quest to develop AI that can understand a range of different dialects, Meta has created an AI model, SeamlessM4T, that can translate and transcribe close to 100 languages across text and speech. Available in open source along with SeamlessAlign, a new translation dataset, Meta claims that SeamlessM4T represents a “significant breakthrough” in the field of AI-powered speech-to-speech and speech-to-text.

“Our single model provides on-demand translations that enable people who speak different languages to communicate more effectively,” Meta writes in a blog post shared with TechCrunch. “SeamlessM4T implicitly recognizes the source languages without the need for a separate language… More.

In this video i will show everyone the Theoretical & Practical side of understanding and learning Reverse-Engineering, to modify Machine-Code/Code overall in the Memory inside Binary Software Files on Systems, and also the Fundamentals about the System Architechture x64/x32-x86 Bit, as how it works in the smallest of Bits/Bytes form on the Memory-Layout Architechture. I will be showing a variety of Techniques like Cracking Games, Manipulating basic “Hello World” compiled C++ code Binary, and overall i will show different kind of Debugging/Reverse-Engineering Techniques on the Tool x64DBG.
- Educational Purposes Only.

If the Video was helpful and useful for learning Reverse-Engineering in a sense to understand Problematic Bugs/Vulnerabilities or Code in a Binary, subscribe for more videos!. Thanks.

Reverse-Engineering Tools:

Ghidra: https://ghidra-sre.org/ // Mac OSX/Windows/Linux.
(Best for Static Analysis And Converting Assembly-code to C/C++)
IDA: https://hex-rays.com/ida-pro/ // works on Mac OSX/Windows/Linux.
(Static & Dynamic Analysis)
x64DBG: https://x64dbg.com // Windows.
(Static & Dynamic Analysis)
GDB: https://www.onlinegdb.com/ // Linux/Mac OSX/Windows/iOS/Android.
(Terminal-Based Static & Dynamic Analysis)
radare2: https://formulae.brew.sh/formula/radare2 // Mac OSX/Windows/Linux.
(Recommened for Mac OSX)
https://github.com/frida/frida // Windows/Linux/Mac OSX/iOS/Android.
(Best For iOS/iPad/Apple Watch/.…Apple Systems)

Assembly Cheat-Sheet: https://cs.brown.edu/courses/cs033/docs/guides/x64_cheatsheet.pdf.
Learn & Understand Assembly: https://www.tutorialspoint.com/assembly_programming/assembly_quick_guide.htm.
Convert & Deconvert Assembly To Hex Or Vice-Versa: https://defuse.ca/online-x86-assembler.htm.

Introduction 1: Assembly-Registers: 00:00