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The Turing Lectures discuss the future of generative AI

The Turing Lectures discuss the future of generative AI

In a recent series of lectures at the Turing Institute, the UK’s hub for data science and artificial intelligence research, experts gathered to discuss the future of generative AI. This technology, which can independently generate new content, has been making significant strides, from crafting written text to creating visual art and complex legal documents. The series culminated with a session that paid homage to Alan Turing, a pioneer in computing, and delved into the exciting trajectory of generative AI.

Artificial intelligence has been on a remarkable journey, marked by steady progress and recent breakthroughs in machine learning that have propelled AI capabilities forward. Central to these advancements is the training data that AI systems use to learn. Typically, AI is fed labeled data in a process known as supervised learning, which it then uses to predict outcomes or generate new content.

During the lecture, the focus was on neural networks, which are complex structures modeled after the human brain. These networks are crucial for AI’s ability to recognize patterns and make decisions. The speakers highlighted how the combination of large data sets, affordable computing power, and scientific discoveries in deep learning have expanded what AI can achieve.

The future of generative AI

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One of the most significant milestones in AI was the introduction of the Transformer architecture and large language models like GPT-3. These have greatly improved AI’s text generation capabilities, making it more realistic and pushing the boundaries of machine creativity. However, the lecture also pointed out the challenges that come with such powerful technology, including errors, biases, toxicity, and copyright issues, as well as the need to comply with GDPR to protect privacy and data.

AI’s understanding is still not perfect and is often constrained by the contexts of its training data. This limitation has led to philosophical and ethical discussions about the potential for general artificial intelligence and the concept of machine consciousness. The Turing Test, a historical benchmark for AI’s ability to mimic human intelligence, was reconsidered in light of these new developments.

Looking to the future, the lecture suggested that AI could soon develop multimodal capabilities, combining text, images, sound, and video to create personalized content. This could change the way we interact with technology, making it more intuitive and responsive to individual preferences.

The Turing Lecture series has shed light on the significant impact of generative AI and the ethical considerations and limitations that come with its use and development. As AI continues to advance, it is poised to redefine content creation and many other areas, leading to a future where it may become increasingly difficult to tell apart content created by humans from that generated by machines.

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Articul8 generative AI company launched by Intel and DigitalBridge

Articul8 generative AI company

In the fast-paced world of generative AI, businesses are constantly seeking ways to stay ahead of the curve. Articul8 AI, Inc. is making waves with its new software platform, GenAI, which promises to bring a fresh perspective to the use of artificial intelligence in the enterprise sector. This platform is the result of a collaboration between tech giant Intel and DigitalBridge Ventures, and it’s designed to deliver speed, security, and cost-efficiency like never before.

Articul8 is a Generative AI (GenAI) enterprise software company focused on helping organizations solve the world’s toughest problems. Articul8’s full-stack, vertically-optimized GenAI software platform enables companies to build, deploy and manage enterprise-grade, secure GenAI applications rapidly and cost-effectively.

The GenAI platform is the centerpiece of Articul8 AI’s offerings, with a strong emphasis on data security, a top priority for any business. Companies have different needs when it comes to infrastructure, and GenAI is built to accommodate that diversity. Whether a business prefers cloud-based solutions, on-premises setups, or a mix of both, GenAI ensures that their sensitive data remains protected.

Intel Articul8 generative AI

Intel’s cutting-edge technology forms the foundation of the GenAI platform, ensuring it works seamlessly with Intel hardware. However, the platform’s design is versatile, supporting a range of hybrid infrastructures. This makes GenAI a suitable choice for various industries, including finance and telecommunications, where the demands for AI solutions are particularly high.

The leadership of Articul8 AI is spearheaded by Arun Subramaniyan, whose experience as a former Intel executive is invaluable. Under his guidance, the company is steering towards a future where GenAI becomes an essential tool across different sectors. The platform’s scalability and adaptability have been proven in early deployments, indicating its potential to revolutionize industry-specific applications. Here are some other articles you may find of interest on the subject of generative AI.

Articul8 AI’s financial stability is robust, with significant investments from DigitalBridge Ventures, Intel, and other venture capitalists. This financial support is a testament to the market’s belief in Articul8’s strategic vision and the GenAI platform’s capabilities.

A key aspect of Articul8 AI’s approach is its collaboration with the Boston Consulting Group. This partnership is critical for integrating the GenAI platform into the business strategies of clients. It ensures that the technology not only enhances current operations but also paves the way for new business opportunities.

Despite its collaborations, Articul8 AI maintains its independence, which is crucial for its ability to quickly adapt its market strategy and grow its offerings within the GenAI ecosystem. This independence allows the company to remain agile and responsive to the evolving needs of enterprise customers.

Articul8 AI, supported by Intel’s technology and DigitalBridge Ventures’ investment, is set to make a significant impact on the enterprise AI market. The GenAI platform, with its focus on data security, flexible deployment options, and optimization for Intel hardware, is well-prepared to serve a wide range of industries. The leadership of Arun Subramaniyan, the strategic partnership with Boston Consulting Group, and the company’s ability to operate independently are all crucial to Articul8’s goal of leading the way in the application of generative AI within the enterprise realm.

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Microsoft and TomTom partner on in-car Generative AI

Microsoft and TomTom

TomTom has announced a new partnership with Microsoft to bring Generative AI to vehicles, TomTom has developed an advanced AI-powered voice assistant which is based on the Microsoft Azure OpenAI Service.

The company has said that this new solution, which is built into the TomTom Digital Cockpit can be integrated into in-car infotainment systems and the two companies are working on a range of AI solutions.

The solution integrates Microsoft Azure OpenAI Service to take advantage of large language models in addition to Azure Kubernetes Services, Azure Cosmos DB, and Azure Cognitive Services. The voice assistant can be integrated into other automotive infotainment systems, enabling automotive customers to accelerate time-to-market on a customizable interface while retaining ownership of their branding and the driver experience. The solution is also built into TomTom’s Digital Cockpit, an open, modular in-vehicle infotainment platform.

“Together with Microsoft, our shared vision is to drive innovation with generative AI and provide our customers with even better solutions,” says Mike Schoofs, Chief Revenue Officer, TomTom. “Leveraging our navigation and technology expertise, we’re creating a groundbreaking new way for people to interact with their vehicles. With both companies integrating what they do best into one solution, we’re transforming the in-vehicle experience, enabling drivers to ask their car for anything and trust it will deliver.”

You can find out more details about this new partnership between Microsoft and TomTom over at the TomTom website at the link below.

Source TomTom

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Deals: The Complete Generative AI Art & Design Mastery Bundle

Complete Generative AI

Have you ever wondered how to create stunning images using artificial intelligence? Well, wonder no more! SkillSuccess is offering a beginner-level course on AI Artwork, accessible 24/7 for a lifetime. This course, aptly titled “Midjourney for Beginners: Getting Started with AI Artwork”, is your ticket to the fascinating world of AI-generated art.

The course is taught by Dheeraj PG, a seasoned freelance website and graphic designer, who will guide you through the intricacies of AI Art Generation. The focus of the course is Midjourney, an AI bot that generates images based on text input. Imagine the possibilities! You input a text, and Midjourney transforms it into a unique image. This course is not just about learning; it’s about experiencing the magic of AI and using it to create something extraordinary.

Key Features of the Course

  • 10 comprehensive lectures and 1 hour of content, accessible 24/7 for a lifetime.
  • Focuses on Midjourney, an AI bot that generates images based on text input.
  • Teaches the fundamentals of AI Art Generation and how to use Midjourney for image creation.
  • Covers understanding Midjourney’s basic settings, inputting prompts for desired image results, creating prompts for outstanding images, using parameters for different image types, and enhancing image resolution without compromising quality.
  • Accessible on both desktop and mobile.
  • Provides a certificate of completion.

SkillSuccess provides over 3,000 online video courses on various categories, all accessible on any device. This means you can learn at your own pace, in your own time, and in the comfort of your own home. The only requirement for the course is a Discord account. Plus, you have a redemption deadline of 30 days from purchase to redeem your code.

So, why wait? Dive into the world of AI Artwork and let your creativity soar. Whether you’re looking to enhance your professional skills or simply want to try something new and exciting, this course is a fantastic opportunity. Remember, it’s not just a course; it’s a journey. A journey that will take you from being a beginner to mastering the art of AI-generated images.

Don’t miss out on this opportunity to learn, grow, and create with AI Artwork. It’s time to embrace the future of art and design. It’s time to embark on your Midjourney.

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AMD Instinct Mi 300X generative AI accelerator

a slide showing the specifications of the new AMD Instinct Mi 300X

AMD has outlined its AI strategy this week, which includes delivering a broad portfolio of high-performance, energy-efficient GPUs, CPUs, and adaptive computing solutions for AI training and inference. To meet the demand for the explosion of AI applications AMD has launched the Instinct Mi 300X, the world’s highest performance accelerator for generative AI, built on the new CDNA 3 data center architecture optimized for performance and power efficiency.

The Mi 300X features significant improvements over previous generations, including a new compute engine, support for sparsity and the latest data formats, industry-leading memory capacity and bandwidth, and advanced process technologies and 3D packaging.

AMD Instinct Mi 300X designed for  generative AI

The AMD Instinct Mi 300X, is built on the CDNA 3 data center architecture, which is tailored for the demands of generative AI. This new accelerator boasts a unique compute engine, substantial memory capacity, and top-tier bandwidth. These features are fine-tuned for the latest data formats and are designed to handle the complexities of sparsity support.

The AI industry is on an upward trajectory, with the data center AI accelerator market expected to balloon from $30 billion in 2023 to a staggering $400 billion by 2027. AMD is strategically positioned to capitalize on this growth. The company’s focus on delivering peak performance, maximizing energy efficiency, and providing a varied computing portfolio is exemplified by the Mi 300X, which excels in generative AI tasks.

World’s most advanced accelerator for generative AI

AMD also recognizes the importance of networking in AI system performance. The company is a proponent of open ethernet, which facilitates efficient system communication. This commitment ensures that AMD’s solutions can scale quickly and maintain high performance levels.

The Mi 300a, AMD’s innovative data center APU for AI and high-performance computing (HPC), has begun volume production. This APU marks a significant advancement in performance and efficiency, furthering AMD’s AI strategy and reinforcing its dedication to cutting-edge innovation.

Software plays a critical role in the AI ecosystem, and AMD’s commitment to an open software environment is clear with the introduction of Rockham 6. This software is specifically designed for generative AI and large language models, providing developers with the tools they need to push the boundaries of AI technology.

picture of the AMD Instinct Mi 300X AI accelerator

AI’s influence is not limited to data centers; it’s also making its way into personal computing. AMD’s Ryzen 8040 series mobile processors, which feature integrated neural processing units (NPUs), are bringing AI capabilities to laptops and other personal devices. This move is democratizing AI technology, making it more accessible to a wider audience.

Collaboration is a key aspect of AMD’s strategy for AI innovation. The company works closely with industry leaders to ensure that its AI solutions are well-integrated and widely available. These partnerships are crucial for the development of next-generation AI applications.

AMD is not merely keeping up with the rapid advancements in AI; it is actively leading the charge. The introduction of pioneering products like the Instinct Mi 300X and the Mi 300a, combined with a strong commitment to open software and collaborative efforts, places AMD in a commanding position in the AI revolution, driving the future of computing forward.

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Build generative AI apps quickly using Google MakerSuite

Build generative AI apps quickly using Google MakerSuite

At the core of today’s most innovative AI tools are LLMs, which can understand and generate text that seems remarkably human-like. Google MakerSuite brings these powerful models to your fingertips, offering a space for you to invent and build applications that leverage the strengths of LLMs. Whether you’re aiming to develop a responsive chatbot, an advanced data analysis tool, or a creative writing aid, MakerSuite provides the foundation for your inventive projects.

What distinguishes MakerSuite is its no-code philosophy. You can design and prototype your applications without writing any code. This inclusive approach democratizes AI application development, allowing you to focus on the creative aspects of your projects. With MakerSuite, the technical barriers that once hindered innovation are removed, creating an inviting environment where your AI ideas can take root and grow.

Introduction to Google MakerSuite

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A key aspect of MakerSuite is the ability to experiment with different prompts. These prompts are how you communicate with the LLM, guiding it to understand and execute the tasks you have in mind. MakerSuite offers three distinct interfaces for creating these prompts:

Text Prompts: Ideal for creative and unstructured tasks, text prompts let you interact with the LLM in a versatile manner. Your imagination sets the boundaries—ask the model to generate anything from stories to code snippets.

Data Prompts: For applications that require a more structured approach, data prompts are the answer. They are designed for tasks involving structured, tabular few-shot prompts, ensuring the LLM processes data according to your precise needs.

Chat Prompts: If you’re looking to create conversational experiences, chat prompts are your go-to tool. They enable you to prototype applications that can engage with users in a smooth, conversational style, emulating human interaction.

Your experience with MakerSuite doesn’t end with prototyping. Thanks to the PaLM API, you can convert your prototypes into Python code, paving the way for further development and integration into larger systems. This seamless transition from a no-code environment to a coding space means that your initial ideas can evolve into complex, real-world applications.

MakerSuite and Python

At its core, MakerSuite is engineered to simplify the complexities inherent in working with large language models. If you are wondering how it achieves this, the answer lies in its user-friendly interface. MakerSuite empowers you to:

  1. Efficiently Engineer Prompts: Crafting effective prompts for LLMs can be challenging. MakerSuite provides an intuitive environment for prompt engineering, ensuring that your applications are responsive and accurate.
  2. Prototype with Ease: Whether it’s a travel itinerary generator or a passage summarizer, MakerSuite allows you to quickly prototype your ideas. This feature is particularly beneficial if you’re looking to validate and refine your application concept.
  3. Export and Expand: Once you’re satisfied with your prototype, MakerSuite lets you export your code. This means you can take your project beyond the prototyping phase and build a fully-fledged application using Google’s generative language API.

Google MakerSuite Workshop

The user interface of MakerSuite is designed to be intuitive. A tutorial video available with the tool walks you through every step of the process. This guidance is invaluable, especially if you’re new to working with LLMs. You’ll find that navigating the platform and implementing your ideas is a streamlined process, devoid of unnecessary complexities.

Starting with Google MakerSuite is straightforward. You’ll need a Workspace account, and if you’re eager to try out the latest features, you might want to enable Early Access apps. These apps, developed by Google’s own teams, showcase MakerSuite’s potential and can inspire your own projects.

Google MakerSuite is your gateway to the world of LLMs, offering an accessible platform for anyone interested in exploring AI-driven application development. Its no-code foundation and versatile prompt interfaces give you the power to transform your concepts into prototypes and, eventually, into concrete solutions.

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Dropbox partners with NVIDIA for generative AI for its customers

Dropbox partners with NVIDIA for generative AI for its customers 2023

Dropbox is looking to take its cloud storage service to a new level. Imagine cloud storage that doesn’t just hold your files but also intelligently organizes them, predicts your needs, and streamlines your workflow. This is the vision behind the recent collaboration between Dropbox and NVIDIA, two giants in their respective fields coming together to redefine how we interact with our digital content. By harnessing the power of advanced artificial intelligence, this partnership is set to enhance the way we manage our digital lives, making it more intuitive, efficient, and secure.

Dropbox, a leader in cloud storage and management, has embarked on a strategic alliance with NVIDIA, a titan in the world of AI and accelerated computing. This collaboration aims to infuse Dropbox’s cloud services with cutting-edge AI capabilities, designed to improve productivity and refine the way we handle our digital tasks. The integration of NVIDIA’s AI Foundation Models and AI Enterprise software into Dropbox’s ecosystem promises to deliver a smarter cloud experience that goes beyond simple storage solutions.

Dropbox Generative AI

The partnership introduces innovative AI-driven features such as Dropbox Dash and Dropbox AI. These tools are engineered to help declutter your digital workspace and assist in prioritizing tasks with ease. Imagine an AI that learns your habits and preferences, creating a Dropbox experience that feels like it was made just for you. This is the promise of the Dropbox-NVIDIA collaboration, where customized AI applications will enhance your file search capabilities, allowing you to find what you need quickly. Additionally, generative AI tools will intelligently categorize your content, streamlining your workflow to maximize efficiency.

The collaboration between Dropbox and NVIDIA is not just about adding new features; it’s about revolutionizing the way we manage our workflow. The integration of NVIDIA’s accelerated computing means that these AI-driven features will be fast, responsive, and highly effective. This is particularly important for knowledge workers who face challenges in managing their digital content and daily tasks. With these new tools, users can expect a significant improvement in their engagement with cloud content and task management.

Security and privacy

In the era of AI, security and privacy are more important than ever. Dropbox recognizes the critical nature of these issues and is committed to ensuring that the innovative features developed with NVIDIA are backed by robust security and privacy protocols. As these AI enhancements are rolled out, users can trust that their content will be managed intelligently and protected with the highest level of care.

Dropbox’s dedication to integrating AI into its services is not new, but the partnership with NVIDIA marks a significant leap forward. The company remains focused on delivering solutions that save time and enhance efficiency for its users. With NVIDIA’s comprehensive suite of AI tools, Dropbox is set to expand its AI capabilities, offering a cloud service that is not only smarter but also more attuned to the individual needs of its users.

The partnership between Dropbox and NVIDIA is paving the way for a new chapter in cloud services. By combining the best in AI technology, this partnership is poised to provide an exceptional digital experience. As these innovative features roll out, users can look forward to a more organized, efficient, and secure way of navigating their digital world. The future of cloud storage is not just about space; it’s about intelligence, and with Dropbox and NVIDIA at the helm, that future is bright and brimming with possibilities.

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Google’s Generative AI in Search expanded to more countries

Google

Google has announced that its Generative AI in Search feature has now been expanded to more than 120 countries and territories around the world, and it is also now supported by four more languages.

The new Languages include Spanish, Portuguese, Korean, and Indonesian and some of the new countries include Mexico, Brazil, South Korea, Indonesia, Nigeria, Kenya South Africa, and more.

Already, generative AI in Search is allowing us to serve a wider range of information needs, including those that benefit from multiple perspectives. With SGE, we’re showing more links, and links to a wider range of sources on the results page, creating new opportunities for content to be discovered.

As we’ve continually improved the experience, we’ve also expanded internationally beyond the United States with recent launches in India and Japan. So far, the vast majority of feedback in all three countries has been positive, and people are finding generative AI particularly useful for complex questions they wouldn’t typically think to search.

You can find out more information about Google’s Generative AI Search and its expansion to more countries and also to more languages around the world over at the Google website at the link below.

Source Google

Image Credit: Kai Wenzel

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Fortifying the Future: Mastering Cybersecurity in the Age of Generative AI

Mastering Cybersecurity in the age of Generative AI

In an era where digital transformation is at the heart of business evolution, Generative AI stands out as a marvel of innovation. This subset of artificial intelligence, known for its ability to create original content—from text to images—holds immense potential. However, its capabilities also make it a double-edged sword in the realm of cybersecurity. For businesses leveraging this powerful technology, the need for a robust security framework is non-negotiable. This article delves into the methods and strategies to secure AI business models against the burgeoning threats in cyberspace.

Securing Data for AI Models

At the core of generative AI’s power is data—vast quantities of it. The integrity and security of this data are paramount. It begins with data discovery and classification, a meticulous process that sorts through the digital deluge to identify sensitive information and safeguard it appropriately. Cryptography then comes into play, transforming this data into a cipher that is impenetrable without the correct keys, effectively nullifying data breaches.

In tandem with these measures, access controls are indispensable. With techniques like Multifactor Authentication (MFA), the security net tightens, ensuring that only those with verified credentials can reach the sensitive nucleus of AI models.

How to protect your AI Models

Once the data is locked down, attention shifts to the AI models themselves. These models are the engines of generative AI, and like any engine, they can be tampered with or corrupted. Routine scans for malicious Cybersecurity code, fortifying systems against cyber attacks, and role-based access control are critical defense strategies. Moreover, the pedigree of the data sources feeding into these models must be scrutinized for trustworthiness and legality, with APIs serving as secure conduits for data flow and interaction.

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Deploying generative AI is not a set-and-forget affair. It demands continuous vigilance from Cybersecurity threats. Monitoring the inputs that feed the AI is crucial to prevent the propagation of misinformation or malicious content. Semantic guardrails can curtail the misuse of AI-generated content, while machine learning tools adeptly detect and respond to anomalies and threats.

Supporting these efforts are SIEM systems, which act as the watchtowers of cybersecurity, providing real-time alerts and insights. Complementing SIEM, SOAR solutions automate the responses to low-level security events, ensuring rapid containment and resolution.

AI Cybersecurity

The IT infrastructure is the backbone that supports the lofty ambitions of generative AI. It must embody the CIA Triad—confidentiality, integrity, and availability. Each component of the infrastructure, from the humblest server to the most complex network, must be treated as a potential vulnerability and fortified accordingly.

No AI system operates in a vacuum. Governance and compliance are the ethical compass and legal scaffolding that ensure AI operates within the boundaries of moral and legal acceptability. Establishing governance frameworks that dictate how AI should be used and ensuring compliance with ever-evolving regulatory landscapes are as vital as any technical safeguard.

In summary, the security of generative AI is a multi-faceted challenge that extends from the granular level of data protection to the broader strokes of governance and compliance. It requires a harmonious blend of advanced technologies, stringent policies, and continuous monitoring. The key to harnessing the full potential of generative AI lies in constructing a security architecture that is as dynamic and intelligent as the AI it seeks to protect.

Businesses must recognize that securing generative AI is not a hurdle but an enabler of innovation. In doing so, they not only defend against the specters of cyber threats but also build the trust and reliability that are the currency of the digital economy. With the right security framework, the promise of generative AI can be fully realized, propelling businesses towards a future where creativity and cybersecurity go hand in hand.

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Samsung Gauss is Samsung’s new generative AI model

Samsung Gaus AI

Samsung has been holding its Samsung AI Forum 2023 this week and now the company has unveiled its new generative AI model which is called Samsung Gauss. The new Samsung Gauss generative AI gets its name from the mathematician Carl Freidrich Gauss.

According to the press release the new Samsung Gauss is a new language model and also a generative image model that is capable of generating and editing images, and more,  you can see more details below.

In the final session, the participants delved into Samsung Gauss and the On-Device AI technologies using this model. The model consists of Samsung Gauss Language, Samsung Gauss Code and Samsung Gauss Image, and is named after Carl Friedrich Gauss, the legendary mathematician who established normal distribution theory, the backbone of machine learning and AI. Furthermore, the name reflects Samsung’s ultimate vision for the models, which is to draw from all the phenomena and knowledge in the world in order to harness the power of AI to improve the lives of consumers everywhere.

Samsung Gauss Language, a generative language model, enhances work efficiency by facilitating tasks such as composing emails, summarizing documents and translating content. It can also enhance the consumer experience by enabling smarter device control when integrated into products.

Samsung Gauss Code and a coding assistant (code.i) — which operates based on it — are optimized for in-house software development, allowing developers to code easily and quickly. It also supports functions such as code description and test case generation through an interactive interface.

You can find out more details about the new Samsung Gauss generative AI model over at Samsung’s website at the link below, we are looking forward to finding out more details about exactly what Samsung has planned.

Source Samsung

Image Credit: Jonathan Kemper

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