The Future of No-Code: Everything You Need to Know

The goal of no-code AI is to make AI more approachable for non-technical consumers who wish to employ AI technology but may not be proficient in programming. These systems enable users to categorize, assess, and create prediction models without writing complicated code by doing away with the requirement for coding. A wider audience may now use AI's capabilities in a variety of applications thanks to its democratization. No-Code AI offers several benefits, making it a desirable choice for companies and individuals who want to use artificial intelligence capabilities without having to learn a lot of coding. The advantages of AI without code are: a. Accessibility and Democratization: A wider range of people may engage in AI development thanks to no-code AI platforms, including non-technical users, business analysts, and subject matter experts. With the democratization of AI, anyone with useful data and insights may now develop AI solutions without needing to know programming. b. Rapid Development and Prototyping: AI applications may be developed and prototyped quickly thanks to no-code AI. Drag-and-drop interfaces allow users to rapidly construct and refine AI models, cutting down on development time and expediting the implementation of AI solutions. c. Decreased Development Expenses: No-code AI can drastically cut development costs by eliminating the requirement for specialized data scientists or software engineers. AI development duties can be handled by non-technical users, which increases the cost-effectiveness of AI projects for companies of all sizes. Interface that is easy to use: No-code AI platforms usually include intuitive user interfaces that are simple to use, making them accessible to people with different degrees of technical proficiency. As a result, consumers can begin using AI development more rapidly and with a lower learning curve. d. Flexibility and Customization: No-code AI platforms nevertheless provide some flexibility and customization even though they abstract away a lot of the implementation details. Users can optimize performance by customizing AI models for certain use cases. e. Improved Cooperation: Teams with and without technical expertise can work together more when using no-code AI. Working with data scientists and engineers, business experts can actively contribute to the development of AI solutions, producing more thorough and significant results.

Analytics Insight

Wed, 18 Sept, 10:03 PM UTC

BrainChip unveils AI NPU that consumes less than a milliwatt

BrainChip has unveiled the Akida Pico ultra-low-power (less than a milliwatt) neural processing unit (NPU) that can be used as an AI accelerator for battery powered, compact intelligent devices, such as hearing aids, noise-cancelling earbuds, and medical equipment. The Akida Pico NPU can be implemented as a standalone chip, or incorporated into an existing design. BrainChip's Akida Pico is an NPU IP that features 150,000 transistors without memory that integrates an NPU, DMA, and AXI bus matrix to connect to other parts of a processor or a microcontroller. The Akida Pico can be enhanced with event SRAM or weight SRAM, AHB, eMMC, SPI, and/or GPIO interfaces to meet the licensor's requirements. When implemented using GlobalFoundries 22FDX (22nm-class, FD SOI) process technology, the Akida Pico NPU consumes less than a milliwatt and occupies only 0.12 mm^2. When enhanced with 50KB of SRAM, its die size grows to 0.18 mm^2. The company says that the IP can be synthesized for any production node, including TSMC's low-cost 12nm-class nodes and ultra-high-end 3nm-class process technologies if needed. BrainChip's proprietary MetaTF software enables developers to build and fine-tune their Temporal-Enabled Neural Networks (TENNs) directly on the Akida Pico. MetaTF also supports AI models developed with popular frameworks like TensorFlow / Keras and PyTorch enabling developers to quickly build and deploy AI solutions for edge devices without the need to learn a new programming language or framework. When it comes to performance, BrainChip refrains from revealing exact numbers (though performance is scalable), perhaps because it uses TENNs, whereas other AI processors are tailored for transformers, which is why the company wants to avoid an "apples to oranges" comparison. As for data formats, Akida Pico supports FP32, INT8, and INT4, though the company is primarily targeting INT8 as INT4 is not accurate enough for its target applications. The company envisions that key applications for the Akida Pico will include voice wake detection, keyword recognition, noise suppression, presence detection, wearables, and personal voice assistants. It can also be used in appliances for voice control and is particularly effective for wearable AI and smart home devices. As BrainChip puts it, ultra-low-power consumption of the Akido Pico is optimized for 'extreme edge AI,' possibly implying on emerging devices that do not exist yet. "Like all of our Edge AI enablement platforms, Akida Pico was developed to further push the limits of AI on-chip compute with low latency and low power required of neural applications," said Sean Hehir, CEO at BrainChip. "Whether you have limited AI expertise or are an expert at developing AI models and applications, Akida Pico and the Akida Development Platform provides users with the ability to create, train and test the most power and memory efficient temporal-event based neural networks quicker and more reliably."

Tom's Hardware

Fri, 4 Oct, 12:38 PM UTC

7 No-Code AI Tools to Build a Profitable Online Business

In today's rapidly evolving digital landscape, no-code AI tools are transforming the way you can establish and grow online businesses. These innovative platforms empower you to develop applications, automate processes, and create engaging presentations without requiring extensive technical expertise. By harnessing the power of these tools, you can streamline your operations, enhance productivity, and unlock new opportunities for monetization. The video below from WeAreNoCode explores seven innovative no-code AI tools that can propel your business to new heights. No-code AI tools offer a wide range of benefits for online businesses, including: V0 by Vercel simplifies the creation of UI/UX elements and web designs through a chat-based interface. By inputting design prompts, you can generate functional components effortlessly, making the design process accessible to users of all skill levels. VZ by Vercel's intuitive approach allows you to focus on the creative aspects of design while the tool handles the technical implementation. This streamlined workflow enables you to rapidly prototype and iterate on your designs, saving valuable time and resources. Buzzy is a powerful tool that enables you to build comprehensive applications using simple prompts. It seamlessly integrates with popular design tools like Figma, allowing you to automate app functionality directly from your design screens. This smooth transition from design to development significantly boosts productivity and fosters creativity. With Buzzy, you can bring your ideas to life quickly and efficiently, without the need for extensive coding knowledge. The platform's intuitive interface and robust features make it an ideal choice for businesses looking to develop custom applications with ease. Vector Shift is a no-code AI automation platform that empowers you to create workflows powered by artificial intelligence. With advanced document analysis capabilities and hybrid search models, Vector Shift streamlines your business operations and enhances overall efficiency. By automating repetitive tasks and intelligently processing data, this tool frees up valuable time and resources, allowing you to focus on strategic initiatives. Vector Shift is particularly well-suited for businesses aiming to optimize their processes through intelligent automation, allowing them to stay ahead in today's competitive market. Noloco specializes in building internal tools such as client portals and customer relationship management (CRM) systems. It offers AI-driven workflows that automate business processes and seamlessly connect with external databases like Airtable and Google Sheets. By ensuring your data is always up-to-date and easily accessible, No Loco empowers you to make informed decisions and improve operational efficiency. With its user-friendly interface and powerful automation capabilities, No Loco is an invaluable tool for businesses looking to streamline their internal operations and enhance customer engagement. GMA excels in creating visually stunning presentations, websites, and documents by transforming prompts into captivating outputs. With a wide range of templates and customization options, GMA allows you to tailor your digital content to your specific needs and brand identity. Whether you're creating a pitch deck, a marketing website, or a comprehensive report, GMA simplifies the process and delivers professional-grade results with minimal effort. By leveraging GMA's AI-powered capabilities, you can elevate your digital content and make a lasting impression on your audience. Claude is a formidable competitor to ChatGPT, offering unique features such as the ability to convert images or sketches into fully functional websites. By generating HTML and CSS code from visual inputs, Claude bridges the gap between design and development, making it an invaluable tool for designers and developers alike. This innovative approach streamlines the workflow and enables rapid prototyping, allowing you to bring your creative visions to life with unprecedented speed and accuracy. With Claude, you can push the boundaries of what's possible in web development and deliver exceptional user experiences. Glide is a no-code app builder that incorporates AI features, including voice-to-text capabilities. With Glide, you can create fully functional applications from scratch using AI-powered tools and a user-friendly interface. This platform empowers entrepreneurs and businesses to launch apps quickly and efficiently, without the need for extensive coding skills. Glide's intuitive drag-and-drop interface and pre-built components make app development accessible to a wider audience, allowing you to focus on your core business objectives while the tool handles the technical aspects. By leveraging these no-code AI tools, you can unlock a world of possibilities for your online business. From streamlining operations and automating processes to creating captivating digital content and developing custom applications, these tools empower you to achieve your goals more efficiently and effectively. By embracing the potential of no-code AI, you can position yourself for success in the ever-evolving digital landscape and stay ahead of the competition. So, whether you're an entrepreneur, a designer, or a business owner, these tools provide the foundation for building a profitable and thriving online presence.

Geeky Gadgets

Fri, 4 Oct, 10:05 AM UTC

AI Tools for Building Custom AI Models

Overview: TensorFlow is an open-source machine learning platform developed by Google. It's a whole ecosystem of tools, libraries, and community resources. Features: TensorFlow supports a wide variety of tasks, from image and speech recognition to natural language processing. Its flexible deployment options are available on lots of platforms, such as mobile and web. Use Case: This type of TensorFlow is suited for developers who want to build and deploy complex AI models with extensive customizations. 2.PyTorch Overview: PyTorch is an open-source deep-learning library written and maintained by Facebook's AI Research lab. It is considered one of the quite friendly and famous libraries for its dynamic computation graph. Features: PyTorch has all the tools necessary to carry on deep learning, with building tools for neural networks and training models combined with advanced research. Use Case: It's found that researchers and developers prefer PyTorch due to its flexibility and its ability to speed up prototyping and experimentation. 3.H2O.ai Overview: H2O.ai is an open-source AI and machine-learning platform that strives to democratize this technology for the end user of any skill and experience level. Features: Offers automated machine learning, also referred to as AutoML, and therefore streamlines building and deploying models. H2O provides a great breadth of algorithms and integrates well with popular data science tools. Use Case: H2O.ai is for organizations looking to deploy AI solutions fast enough without the need for deep in-house programming expertise. 4. IBM Watson Description: IBM Watson is an AI tool and services portfolio designed to help businesses build up AI capabilities. For any desired business function, there are pre-built models plus customization options. Features: IBM Watson provides its users with tools of natural language processing, computer vision, and also predictive analytics. The system also boasts good security and compliance attributes. Use Case: IBM Watson is ideal for business when an enterprise needs to utilize AI for business intelligence, customer service, and operational efficiency. 5. Microsoft Azure Machine Learning Overview: Microsoft's Azure Machine Learning is a cloud-based platform that offers developers a facility to build, train, and deploy machine learning models. Features: Azure ML offers the drag-and-drop interface and automated machine learning along with developing ease with integration of other Azure services. It supports an enormous amount of algorithms and frameworks. Use case: Suitable for organizations already using Microsoft products and, thus wish integration to be seamless with AI capabilities. 6. Google Cloud AI Platform Overview: Google Cloud AI Platform provides a set of tools to develop, deploy, and manage machine learning models on the Google Cloud. Features: The platform provides pre-trained models, AutoML, and tools for data labeling and preparation; it also offers a scalable infrastructure for training and inference. Use Case: Google Cloud AI Platform is ideal for those who need scalable and highly reliable AI solutions with good integration into Google services. 7.DataRobot Overview: DataRobot is an enterprise AI platform that automates the end-to-end process of building, deploying, and maintaining AI models. Features: DataRobot supports automated machine learning, model interpretability, and deployment features. It supports a wide range of data sources and integrates with popular BI tools. Use Case: DataRobot is for enterprises that want to accelerate their AI journey with the least amount of manual intervention required. 8. RapidMiner Overview: RapidMiner is a platform for data science that provides offerings in data preparation, machine learning, and deployment of models. Features: RapidMiner features include a visual workflow designer, automated machine learning, and interfaces to numerous sources of data. It also has a collaboration feature for team-based projects. Use Case: RapidMiner is good for the data scientist and the analyst who will demand a complete platform by which they can develop and deploy AI models.

Analytics Insight

Mon, 30 Sept, 2:01 PM UTC

BrainChip unveils microscopic NPU that consumes less than 1 milliwatt of power

Why it matters: Australian hardware company BrainChip has unveiled its latest neural processor - the incredibly small and efficient Akida Pico NPU. Designed to be an AI accelerator, it could enable a new wave of intelligent edge devices that run on battery power alone, if everything goes as expected. The Akida Pico packs BrainChip's event-based neural processing capabilities into an area of just 0.12 square millimeters. Yet despite that size, it can handle relatively intensive AI workloads like voice wakeup, keyword spotting, noise reduction, and sensor processing. And it does it all while consuming less than a single milliwatt of power. Under the hood, the Pico is built around BrainChip's Akida2 neural networking engine, which is finely tuned for battery operation. It integrates 150,000 transistors in a digital NPU design along with a DMA engine and bus interfaces. Manufacturers can add SRAM, flash storage, and peripherals like GPIO to suit their needs. The Akida platform allows the Pico to continuously monitor its inputs and wake up a main processor only when it detects something of interest, drastically reducing power usage. Filtering is performed by a neural network designed to eliminate any false alarms. This is quite different from microcontroller-based AI systems, which typically require duty-cycling - turning the CPU on and off in timed bursts to conserve power. In fact, the Pico doesn't require any host microcontroller at all to perform tasks and can function independently. For its silicon, BrainChip is using GlobalFoundries' 22nm FD-SOI process. As for supported data formats, it can run FP32, INT8, and INT4 neural models, though INT8 is the prime target for the intended use cases. "Like all of our Edge AI enablement platforms, Akida Pico was developed to further push the limits of AI on-chip compute with low latency and low power required of neural applications," said Sean Hehir, CEO at BrainChip. The company envisions this tiny device as enabling AI voice interfaces for smart home appliances, wearable assistants, automated doorbell cameras, and a lot more - basically anything that needs to detect and classify audio or sensor events while running for long periods on a battery charge. While BrainChip isn't giving out performance benchmarks, the Pico can reportedly handle limited neural models without problems, though it's certainly not meant for large-scale AI processing. BrainChip aims to make the Akida Pico available as a standalone chip or IP block that makers can integrate into their own SoCs and microcontrollers.

TechSpot

Mon, 7 Oct, 12:10 PM UTC

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