#aiengine

The AI Engine is officially complete! Between IRL shit and how fucking ambitious it was it took 5 months, but here we are! Next up is starting to seriously focus on the final big bads, including the three contest winners:

http://farragofiction.com/SBURBSimE/BigBadBattle.html?target=Zingo_The_Clown http://farragofiction.com/SBURBSimE/BigBadBattle.html?target=Duthulhu

http://farragofiction.com/SBURBSimE/BigBadBattle.html?target=The_Cone

The goal is to get them an a handful of Shogun designed Big Bads in, then to swing back around to stabilize AB (she has a memory leak or some shit and crashes browsers after too long) and do a general stability pass.   If everything goes right (and there is no more huge irl shit flare ups) we might have the Big Bad Update out before halloween! This is EXTRA good because spookoween is when Dead Sessions came out and it just seems thematically appropriate. 

Read the full report on -

Meet the Apple AI Answer Engine — Apple’s not-so-secret weapon to take the lead in the artificial intelligence race. → Smarter Siri with contextual replies → Search results without opening Google → Privacy-centric, in-device answers

🧠 And Tim Cook’s vision? “We MUST win in AI.” 👀 Read the full blog and see how this could change everything.

Snapdragon 8 Gen 3 Mobile Platform

With the fastest mobile connectivity in the world, you can use generative AI to unleash your creative side, capture original content smartly, lose yourself in console-defying mobile gaming, or groove out to studio-caliber lossless music.

From intelligently producing unique content to composing documents, its potent Qualcomm AI Engine pours genius into every action you take. One of the quickest in the smartphone industry, LLM models can process up to 20 tokens per second. With consistent diffusion, they can produce an image in a split second. We enable the impossible as we usher in a new era of creative AI.

With Snapdragon Game Super Resolution, you can play games up to 8K without sacrificing performance or battery life, so get ready to be enthralled. The Snapdragon 8 Gen 3 Mobile Platform is the best portable gaming system available.

With its superior performance in photography, gaming, audio, and other areas, the incredibly intelligent Snapdragon 8 Gen 3 completely reimagines what is possible.

Features

Generative AI Excellence

The first in the world to handle generative AI models with up to 10 billion parameters on-device is top AI engine. For long-term AI inferencing, the Qualcomm Hexagon NPU offers 40% better performance-per-watt and 98% faster performance.

Premium-Level Performance

With a 30% performance boost and a 20% increase in power efficiency, the Qualcomm Kryo CPU achieves previously unheard-of speeds with an updated CPU subsystem. Additionally, 25% quicker graphics rendering and 25% more GPU power efficiency are achieved with the updated Qualcomm Adreno GPU, which improves gaming and streaming.

Intelligent Capture

Its top Cognitive ISP, Qualcomm Spectra, creates AI-enhanced images and videos in real time for stunning quality in any setting. Use generative AI voice-activated picture and video editing to capture amazing content.

Console-Defying Gaming Features

An incredible 240Hz display supports whole Snapdragon Elite Gaming arsenal, providing lag-free, lag-free experiences at 240 FPS. Additionally, take advantage of 40% better Hardware-Accelerated Ray Tracing with new Global Illumination, which is enabled by first-in-mobile support for the Unreal Engine 5.2, for even more realistic lighting and authentic immersion.

Studio-Quality Audio, Everywhere

The only way to enjoy uninterrupted lossless music over Wi-Fi, even when traveling from room to room, is with the new Qualcomm Expanded Personal Area Network Technology (XPAN), which is part of the Snapdragon Sound Technology Suite. Additionally, defeat gaming opponents while on the road with sound that has an extremely low latency of 48 ms.

Limitless Connectivity

With 2.5x AI processing capability at the hardware level for quicker, more power-efficient operation and improved location accuracy, the Snapdragon X75 Modem-RF System provides best-in-class 5G. The only option that offers Wi-Fi 7 with High Band Simultaneous Multi-Link and Bluetooth technologies for unstoppable speeds and dependability is the Qualcomm Fast Connect 7800 Connectivity System.

What is Versal AI engine?

The Versal Premium line, which integrates AI Engines, has exceptional adaptive signal processing capability and is designed for the most demanding compute and data transportation applications in wired communications, data center computation, test and measurement, and aerospace and military.

Versal AI Engine

The AI Engine Array Interface may be configured with to the AMD LogiCORE AI Engine IP. Through tiles included in the AI Engine Array Interface, this array is linked to both the Network on Chip and the programmable logic (PL). This IP specifies the clock controlling the AI Engine array and permits the definition of the number of AXI4-Stream and memory-mapped AXI interfaces with their corresponding width and orientation.

Key Features and Benefits

AXI4 configuration interfaces that are memory mapped.

AXI4 master interfaces that are memory mapped.

AXI4-Stream master and slave interfaces having 32, 64, or 128 bit data widths that may be adjusted.

Fast streams may be enabled by choosing to enable registered interfaces.

Programmable logic (PL) stream clocks automatically associate.

Designing AMD Versal AI Engine

Image Credit To AMD

AMD Developing Versal AI Engine with Vitis Model Composer AMD With Vitis Model Composer, algorithms designed for Versal AI Engines may be quickly simulated, explored, and coded from inside the Simulink environment. This may be accomplished by importing kernels and data-flow graphs into Vitis Model Composer as blocks and adjusting the block GUI parameter to control the behavior of the kernels and graphs, or by utilizing the AI Engine library blocks.

Additionally, the tool lets you use a combination of AI Engine and programmable logic (HDL/HLS) blocks to create and simulate a design. By seamlessly integrating Vitis Model Composer AI Engine blocks with Simulink source and sink blocks, simulation results may be viewed.

For usage in the Simulink environment, Vitis Model Composer offers a collection of blocks that are optimized for speed. These consist of:

AI Engine blocks

Image Credit To AMD

Comprises a collection of intricate AI Engine DSP building elements pertaining to mixers, FIR, FFT, and DDS.

includes blocks for importing graphs and kernels that may be directed to Versal devices’ AI Engine section.

HLS (Targeting PL and generates HLS code)

Targeting PL and producing HLS code, HLS provides preset blocks that contain bit-wise operations, logic, linear algebra, and math functional blocks.

Block the import of HLS kernels that are intended for Versal devices’ PL section.

HDL (Produces RTL code and targets PL)

Blocks for modeling and synthesizing DSP, arithmetic, and logic components on an FPGA

contains a FIR Compiler block that targets the Versal design’s specific DSP48E1 and DSP48E2 hardware resources.

Blocks that facilitate communication between the AMD HDL blockset and the AI Engine.

Unleash DSP Compute with AMD Versal AI Engines

For next-generation DSP workloads, speed up demanding high-performance DSP applications.

AMD Versal AI Engine Technology Enables High-Performance Digital Signal Processing (DSP) Requirements

Clients developing next-generation DSP applications need enormous computational power, which conventional FPGA designs cannot effectively provide. Large quantities of DSP blocks and programmable logic resources may be used by compute-intensive DSP applications like FIR, FFT, and General Matrix Multiply.

The total computation capability that conventional programmable logic devices may provide may be greatly diminished by this need. For demanding DSP workloads with stringent power constraints, just expanding the number of DSP blocks and programmable logic available is not a scalable solution.

In these situations, Versal AI Engines are intended to provide a more effective computing solution.

Boost Compute and Use Less Power

Optimize performance and transform your DSP designs.

Did you know that you may increase scalability and efficiency to satisfy the growing needs of high-performance, next-generation DSP applications? Learn 5 strategies to improve your DSP designs using AMD Versal AI Engines.

Access Benchmarks Comparing Versal AI Engines to Previous Programmable Logic Technology

Please get in touch with sales or your FAE for test results and source designs for head-to-head benchmark comparisons between designs that use just Programmable Logic and adaptable SoC + AI Engine designs that use AMD Versal adaptable SoCs.

Get Started with Versal AI Engines for DSP

Increase DSP compute density for the next generation of demanding DSP workloads by speeding up the most demanding high-performance DSP applications.

Cybersense compatibility

A smart approach to cyber resilience is represented by Dell CyberSense, which is integrated with the Dell PowerProtect Cyber Recovery platform. In order to continuously verify data integrity and offer thorough insights across the threat lifecycle, it leverages cutting-edge machine learning and AI-powered analysis, drawing on decades of software development experience. This significantly lessens the impact of an attack minimizing data loss, expensive downtime, and lost productivity and enables organisations to quickly recover from serious cyberthreats, like ransomware.

Over 7,000 complex ransomware variations have been used to thoroughly train CyberSense’s AI engine, guaranteeing accuracy over time. Up to 99.99% accuracy in corruption detection is achieved by combining more than 200 full-content-based analytics and machine learning algorithms. A sophisticated and reliable solution for contemporary cyber resilience requirements, Dell CyberSense boasts more than 1,400 commercial deployments and benefits its customers from the combined knowledge and experience acquired from real-world experiences with malware.

By keeping its defence mechanisms current and efficient, this continual learning process improves its capacity to identify and address new threats. In order for you to recover from a cyberattack as soon as possible, Dell CyberSense also uses data forensics to assist you in finding a clean backup copy to restore from.

Dell PowerProtect Cyber Recovery

The financial effects of Dell PowerProtect Cyber Recovery and Dell CyberSense for enterprises were investigated in a Forrester TEI study that Dell commissioned. According to research by Forrester, companies using Dell CyberSense and PowerProtect Cyber Recovery can restore and bring back data into production 75% faster and with 80% less time spent searching for the data.

When it comes to cybersecurity, Dell CyberSense stands out due to its extensive experience and track record, unlike the overhyped claims made by storage vendors and backup firms who have hurriedly rebranded themselves as an all-in-one solution with AI-powered cyber detection and response capabilities. The ability of more recent market entrants, which are frequently speculative and shallow, is in sharp contrast to CyberSense’s maturity and expertise.

Businesses may be sure they are selecting a solution based on decades of rigorous development and practical implementation when they invest in PowerProtect Cyber Recovery with Dell CyberSense, as opposed to marketing gimmicks.

Before Selecting AI Cyber Protection, Consider These Three Questions

Similar to the spike in vendors promoting themselves as Zero Trust firms that Dell saw a year ago, the IT industry has seen a surge in vendors positioning themselves as AI-driven powerhouses in the last twelve months. These vendors appear to market above their capabilities, even though it’s not like they lack  AI or Zero Trust capabilities. The implication of these marketing methods is that these solutions come with sophisticated AI-based threat detection and response capabilities that greatly reduce the likelihood of cyberattacks.

But these marketing claims are frequently not supported by the facts. As it stands, the efficacy of artificial intelligence (AI) and generative  artificial intelligence (GenAI) malware solutions depends on the quality of the data used for training, the precision with which threats are identified, and the speed with which cyberattacks may be recovered from.

IT decision-makers have to assess closely how providers of storage and data protection have created the intelligence underlying their GenAI inference models and  AI analytics solutions. It is imperative to comprehend the training process of these tools and the data sources that have shaped their algorithms. If the wrong training data is used, you might be purchasing a solution that falls short of offering you the complete defence against every kind of cyberthreat that could be present in your surroundings.

Dell covered the three most important inquiries to put to your providers on their  AI and GenAI tools in a recent Power Protect podcast episode:

Which methods were used to train your AI tools?

Extensive effort, experience, and fieldwork are needed to develop an  AI engine that can detect cyber risks with high accuracy. In order to create reliable models that can recognise all kinds of threats, this procedure takes years to gather, process, and analyse enormous volumes of data. Cybercriminals that employ encryption algorithms that do not modify compression rates, such as the variation of the ransomware known as “XORIST,” these sophisticated threats may have behavioural patterns that are difficult for traditional cyber threat detection systems to detect since they rely on signs like changes in metadata and compression rates. Machine learning systems must therefore be trained to identify complex risks.

Your algorithms are based on which data sources?

Knowing the training process of these tools and the data sources that have influenced their algorithms is essential. AI-powered systems cannot generate the intelligence required for efficient threat identification in the absence of a broad and varied dataset. To stay up with the ever-changing strategies used by highly skilled adversaries, these solutions also need to be updated and modified on a regular basis.

How can a threat be accurately identified and a quick recovery be guaranteed?

Accurate and secure recovery depends on having forensic-level knowledge about the impacted systems. Companies run the danger of reinstalling malware during the recovery process if this level of information is lacking. For instance, two weeks after CDK Global’s customers were rendered unable to access their auto dealership due to a devastating ransomware assault, the company received media attention. They suffered another ransomware attack while they were trying to recover. Unconfirmed, but plausible, is the theory that the ransomware was reintroduced from backup copies because their backup data lacked forensic inspection tools.

AIEngine is a packet inspection engine with capabilities of learning without any human intervention. It helps network/security professionals to identify traffic and develop signatures for use them on NIDS, Firewalls, Traffic classifiers and so on. Source: AIEngine 1.8.2 The post AIEngine 1.8.2 appeared first on MondoUnix.