Latest news with #TensorFlow
The Hindu
20 hours ago
- Business
- The Hindu
Botpool Launches to Empower AI Freelancers with a Dedicated Global Platform
In a world increasingly shaped by intelligent tools and automation, a groundbreaking new platform has emerged with a bold mission: to put AI freelancers at the forefront of the digital economy. Introducing Botpool — a global freelancer marketplace purpose-built for the AI-driven future of work. Whether you're an AI developer, a generative content expert, or an automation specialist, Botpool is your new home. The Next Generation of Freelance Work Starts Here As artificial intelligence rapidly transforms industries, the demand for specialized talent is skyrocketing. From startups to Fortune 500 companies, businesses are racing to integrate AI and need skilled professionals to lead the charge. Botpool isn't just another gig site. It's a fast-growing platform specifically designed for freelancers who work with AI technologies. While other freelance platforms cater to broad categories, Botpool focuses purely on AI-powered work, offering a curated environment where high-skill freelancers can connect directly with businesses seeking next-generation services. This isn't about crowding your profile into an overcrowded space. It's about standing out in the right space. Who Thrives on Botpool? Botpool welcomes a wide spectrum of AI specialists, including: ● AI Developers & Engineers – Building intelligent applications, AI agents, and APIs using tools like Python, TensorFlow, PyTorch, OpenAI, Anthropic, and more. ● Prompt Engineers – Experts in instructing generative models like ChatGPT, Claude, and Gemini to produce accurate and powerful outputs. ● AI Content Creators – Using AI to generate articles, videos, podcasts, visuals, or marketing copy faster and better. ● AI Consultants – Helping businesses adopt AI tools, integrate models into workflows, and shape digital transformation strategies. ● AI-Powered Social Media Managers – Running campaigns using predictive analytics, AI-driven scheduling tools, and content automation. ● AI Editors – Polishing generative content and making AI outputs more human, effective, and on-brand. ● Automation Specialists – Designing no-code or low-code workflows using platforms like Zapier, Make, and AutoGPT. ● Vibe Coders – The creative coders who blend design, code, and AI to build experiences that feel truly next-gen. Why Now? Why Botpool? The AI freelance economy is booming — yet traditional platforms fall short in helping AI experts connect with the right clients. Categories are too broad. Discovery is inefficient. True AI talent gets buried. Botpool is built to change that. Key Benefits of Joining Botpool: ● Global Exposure to AI-Focused Clients Get discovered by businesses actively seeking AI solutions. ● Niche Precision Compete only with other AI professionals, not generalists. ● Built-In Tools (Coming Soon) Access internal SaaS tools and sub-apps you can resell to clients for recurring income. ● Early Mover Advantage Be among the first to gain visibility, influence platform development, and build your reputation. ● A Thriving Community Botpool is more than a marketplace — it's a collaborative hub for creative, technical AI minds. How It Works: Getting started with Botpool is quick and easy: 1. Register for Free at 2. Set Up Your Profile, highlighting your AI skills, past work, and specialties 3. Browse Projects or Get Matched using AI-powered job matching 4. Deliver Value to clients, receive ratings, and build your Botpool reputation 5. Unlock Growth Tools as we launch resellable products, automated workflows, and more The platform is open to solo freelancers, boutique AI agencies, and even AI startup founders offering services. The Future of Freelance AI Work Starts Here With the AI revolution in full swing, Botpool gives forward-thinking freelancers the visibility, tools, and community they need to thrive. If you're working at the intersection of AI and creativity, there's finally a platform built just for you. Join today and shape the future of AI work. 'This is a company press release that is not part of editorial content. No journalist of The Hindu was involved in the publication of this release.'
Geeky Gadgets
6 days ago
- Business
- Geeky Gadgets
How AI Agents Are Transforming Work and Problem-Solving with Adam Silverman
What if the future of work, problem-solving, and innovation didn't rely on human effort alone? Picture a world where complex decisions are made in seconds, customer experiences are personalized effortlessly, and industries operate at peak efficiency—all thanks to the quiet yet fantastic power of AI agents. These autonomous systems are no longer just a vision of tomorrow; they're reshaping industries today, from diagnosing diseases in healthcare to optimizing supply chains in manufacturing. With their ability to learn, adapt, and act independently, Agents are not just tools—they're collaborators in progress. But with so many options and applications, how do you determine which Agents truly stand out? In the following sections, David Ondrej and Adam Silverman discuss the most effective AI agents and the technologies driving their success. From the new tools like TensorFlow and OpenAI GPT to the industries they're transforming, this guide will unpack what makes these systems indispensable. You'll also gain insights into the challenges and ethical considerations shaping their development, making sure you're informed about both their potential and their pitfalls. Whether you're a tech enthusiast, a business leader, or simply curious about the future, this exploration will leave you questioning not just what Agents can do, but how they're redefining what's possible. After all, the best AI agents don't just solve problems—they change the game entirely. AI Agents Overview What Are AI Agents? AI agents are sophisticated software systems engineered to perform specific tasks autonomously. By using advanced algorithms, machine learning (ML), and data processing capabilities, these agents can analyze vast amounts of information, make informed decisions, and execute actions without constant human intervention. They operate in diverse environments, ranging from virtual platforms such as chatbots to physical robots deployed in industrial settings. Their ability to learn and adapt over time is a defining feature, making them a cornerstone of modern AI-driven solutions. AI agents are not limited to a single domain. They are designed to function across a wide spectrum of applications, from automating routine customer service interactions to managing complex supply chain operations. Their versatility and adaptability ensure they remain relevant in an ever-evolving technological landscape. Core Features of Effective AI Agents The effectiveness of Agents can be assessed by examining several key attributes that define their functionality and impact: Autonomy: The ability to perform tasks with minimal or no human intervention, allowing seamless operation in dynamic environments. The ability to perform tasks with minimal or no human intervention, allowing seamless operation in dynamic environments. Adaptability: A capacity to learn from new data inputs and adjust behavior or strategies accordingly, making sure continuous improvement. A capacity to learn from new data inputs and adjust behavior or strategies accordingly, making sure continuous improvement. Scalability: Efficient performance across varying levels of complexity, from small-scale operations to large, enterprise-wide deployments. Efficient performance across varying levels of complexity, from small-scale operations to large, enterprise-wide deployments. Interactivity: The capability to communicate effectively with users or other systems, fostering collaboration and enhancing user experiences. These features collectively empower AI agents to deliver measurable value across industries, streamlining processes and allowing organizations to achieve their goals more efficiently. AI Agents, here are the best – Adam Silverman Watch this video on YouTube. Browse through more resources below from our in-depth content covering more areas on AI Agents. How AI Agents Are Transforming Industries AI agents are transforming traditional workflows and introducing new possibilities across multiple sectors. Their impact can be observed in the following areas: Healthcare: Agents assist in diagnosing diseases, personalizing treatment plans, managing patient records, and even predicting potential health risks. Their ability to process medical data quickly and accurately enhances patient care and operational efficiency. Agents assist in diagnosing diseases, personalizing treatment plans, managing patient records, and even predicting potential health risks. Their ability to process medical data quickly and accurately enhances patient care and operational efficiency. Finance: These agents analyze market trends, detect fraudulent activities, and optimize investment strategies. By automating complex financial processes, they improve accuracy and reduce operational risks. These agents analyze market trends, detect fraudulent activities, and optimize investment strategies. By automating complex financial processes, they improve accuracy and reduce operational risks. Retail: Agents enhance customer service through virtual assistants, streamline inventory management, and provide personalized product recommendations. They help retailers better understand consumer behavior and improve the shopping experience. Agents enhance customer service through virtual assistants, streamline inventory management, and provide personalized product recommendations. They help retailers better understand consumer behavior and improve the shopping experience. Manufacturing: In industrial settings, AI agents optimize production lines, ensure quality control, and manage supply chains. Autonomous robots powered by AI improve efficiency and reduce operational costs. These examples demonstrate the versatility of AI agents in addressing industry-specific challenges and unlocking new opportunities for growth and innovation. Top Tools for Building AI Agents Developing robust and effective AI agents requires access to advanced tools and platforms. Below are some of the leading technologies used by developers: TensorFlow: An open source framework that assists the creation and training of machine learning models, widely used for tasks such as image recognition and natural language processing. An open source framework that assists the creation and training of machine learning models, widely used for tasks such as image recognition and natural language processing. OpenAI GPT: A state-of-the-art language model designed for natural language processing (NLP) applications, allowing Agents to understand and generate human-like text. A state-of-the-art language model designed for natural language processing (NLP) applications, allowing Agents to understand and generate human-like text. IBM Watson: A comprehensive suite of AI tools that supports the development of intelligent applications, including chatbots, predictive analytics, and data visualization. A comprehensive suite of AI tools that supports the development of intelligent applications, including chatbots, predictive analytics, and data visualization. Microsoft Azure AI: A cloud-based platform offering pre-built AI services and customizable tools for creating scalable AI solutions tailored to specific business needs. These tools provide developers with the resources needed to design, train, and deploy AI agents that address unique challenges across industries. Challenges and Ethical Considerations While Agents offer numerous benefits, their adoption comes with challenges that must be addressed to ensure responsible and ethical use. Key considerations include: Data Privacy: Protecting sensitive information from unauthorized access or misuse is critical, particularly in industries like healthcare and finance. Protecting sensitive information from unauthorized access or misuse is critical, particularly in industries like healthcare and finance. Bias in Decision-Making: Algorithms must be carefully designed to avoid perpetuating biases that could lead to unfair or discriminatory outcomes. Algorithms must be carefully designed to avoid perpetuating biases that could lead to unfair or discriminatory outcomes. Job Displacement: The automation of tasks raises concerns about workforce impacts, necessitating strategies to reskill and support affected employees. The automation of tasks raises concerns about workforce impacts, necessitating strategies to reskill and support affected employees. Transparency: Making sure AI systems are explainable and understandable fosters trust among users and stakeholders. Making sure AI systems are explainable and understandable fosters trust among users and stakeholders. Security Risks: Safeguarding AI systems against cyber threats and vulnerabilities is essential to maintaining their reliability and integrity. Addressing these challenges is vital to building trust in AI technologies and making sure their long-term success and societal acceptance. The Path Forward Agents are poised to play an increasingly significant role in shaping the future of industries worldwide. By understanding their capabilities, using advanced tools, and addressing ethical and technical challenges, organizations can unlock their full potential. As AI technologies continue to evolve, staying informed and proactive will be essential to maximizing their benefits while minimizing risks. The journey toward widespread AI adoption is ongoing, and those who embrace its possibilities responsibly will be well-positioned to lead in the age of intelligent automation. Media Credit: David Ondrej Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Business Wire
29-05-2025
- Business
- Business Wire
EnCharge AI Announces EN100, First-of-its-Kind AI Accelerator for On-Device Computing
SANTA CLARA, Calif.--(BUSINESS WIRE)--EnCharge AI today announced the EnCharge EN100, the industry's first AI accelerator built on precise and scalable analog in-memory computing. Designed to bring advanced AI capabilities to laptops, workstations, and edge devices, EN100 leverages transformational efficiency to deliver 200+ TOPS of total compute power within the power constraints of edge and client platforms such as laptops. EN100 shatters these limitations. By fundamentally reshaping where AI inference happens, developers can now deploy sophisticated, secure, personalized applications locally. 'EN100 represents a fundamental shift in AI computing architecture, rooted in hardware and software innovations that have been de-risked through fundamental research spanning multiple generations of silicon development," said Naveen Verma, CEO at EnCharge AI. "These innovations are now being made available as products for the industry to use, as scalable, programmable AI inference solutions that break through the energy efficiency limits of today's digital solutions. This means advanced, secure, and personalized AI can run locally, without relying on cloud infrastructure. We hope this will radically expand what you can do with AI.' Previously, models driving the next generation of AI economy—multimodal and reasoning systems—required massive data center processing power. Cloud dependency's cost, latency, and security drawbacks made countless AI applications impossible. EN100 shatters these limitations. By fundamentally reshaping where AI inference happens, developers can now deploy sophisticated, secure, personalized applications locally. This breakthrough enables organizations to rapidly integrate advanced capabilities into existing products—democratizing powerful AI technologies and bringing high-performance inference directly to end-users EN100, the first of the EnCharge EN series of chips, features an optimized architecture that efficiently processes AI tasks while minimizing energy. Available in two form factors – M.2 for laptops and PCIe for workstations – EN100 is engineered to transform on-device capabilities: M.2 for Laptops: Delivering up to 200+ TOPS of AI compute power in an 8.25W power envelope, EN100 M.2 enables sophisticated AI applications on laptops without compromising battery life or portability. PCIe for Workstations: Featuring four NPUs reaching approximately 1 PetaOPS, the EN100 PCIe card delivers GPU-level compute capacity at a fraction of the cost and power consumption, making it ideal for professional AI applications utilizing complex models and large datasets. EnCharge AI's comprehensive software suite delivers full platform support across the evolving model landscape with maximum efficiency. This purpose-built ecosystem combines specialized optimization tools, high-performance compilation, and extensive development resources—all supporting popular frameworks like PyTorch and TensorFlow. Compared to competing solutions, EN100 demonstrates up to ~20x better performance per watt across various AI workloads. With up to 128GB of high-density LPDDR memory and bandwidth reaching 272 GB/s, EN100 efficiently handles sophisticated AI tasks, such as generative language models and real-time computer vision, that typically require specialized data center hardware. The programmability of EN100 ensures optimized performance of AI models today and the ability to adapt for the AI models of tomorrow. "The real magic of EN100 is that it makes transformative efficiency for AI inference easily accessible to our partners, which can be used to help them achieve their ambitious AI roadmaps," says Ram Rangarajan, Senior Vice President of Product and Strategy at EnCharge AI. "For client platforms, EN100 can bring sophisticated AI capabilities on device, enabling a new generation of intelligent applications that are not only faster and more responsive but also more secure and personalized." Early adoption partners have already begun working closely with EnCharge to map out how EN100 will deliver transformative AI experiences, such as always-on multimodal AI agents and enhanced gaming applications that render realistic environments in real-time. While the first round of EN100's Early Access Program is currently full, interested developers and OEMs can sign up to learn more about the upcoming Round 2 Early Access Program, which provides a unique opportunity to gain a competitive advantage by being among the first to leverage EN100's capabilities for commercial applications at About EnCharge AI EnCharge AI is the leader in advanced AI compute solutions for deployments from edge-to-cloud. EnCharge's robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today's best-in-class solutions. The high-performance solutions will enable the immense potential of AI to be accessible at scale, in power, size, and weight constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. For more information about EnCharge AI, please visit
Indian Express
15-05-2025
- Business
- Indian Express
IIT-Madras, Emeritus launch certification programme in Applied Artificial Intelligence and Machine Learning
IIT Madras, in collaboration with the ed-tech platform Emeritus and IBM, has introduced the Advanced Certification Programme in Applied Artificial Intelligence and Machine Learning, designed to bridge the growing skill gap between AI innovation and industry-ready talent. The initiative comes under the purview of IITM Pravartak, the technology innovation hub of the institute, which is supported by the Department of Science and Technology, Government of India. In light of the growing relevance of AI and machine learning, the programme has been created for professionals across various domains who aspire to advance their careers in these fields. It offers a flexible curriculum that caters to both technical and non-technical backgrounds. It caters to data scientists and software engineers aiming to enhance their technical expertise, business analysts and consultants looking to leverage AI for data-driven decision-making, as well as product managers and product owners looking to integrate AI/ML into product strategies. Led by IITM Pravartak-empanelled faculty, including Professor C Chandra Sekhar and Professor Dileep A.D, the programme will cover foundational concepts, advanced topics like Generative AI and Large Language Models (LLMs), and their real-world applications. It will include weekly-recorded videos for self-paced learning and live masterclasses from industry professionals and a two-week capstone project. The programme will provide more than 25 tools and libraries, including TensorFlow, Keras, Scikit-Learn and the latest Gen AI models such as Mistral. It will also offer 30+ projects and cases as well as the latest research papers for real-world case studies and in-depth insights. Participants can build an industry-ready GitHub and Kaggle portfolio for a competitive job market. Upon successful completion of the programme, learners will be provided with three professional IBM certifications to make them industry-ready, and they will have the opportunity to visit the IITM Research Park and meet the faculty, researchers, and other AI and ML enthusiasts. Avnish Singhal, the executive vice president and head of India & APAC at Emeritus, said, 'As AI and ML continue to disrupt entire industries, the real challenge lies in equipping leaders who can transform these technologies into powerful, actionable solutions. This programme is designed for those who are not just looking to keep up but to be the driving force behind the next generation of innovation.' 'By blending world-class academic rigour with hands-on industry experience, we are shaping the pioneers who will redefine what's possible in AI and ML, making a profound impact on the global economy,' he added.
Hindustan Times
15-05-2025
- Business
- Hindustan Times
Shape the future of innovation with IITM Pravartak's Generative AI and Machine Learning Programme
Generative AI is redefining what machines can do—from composing poetry and generating realistic images to building chatbots and synthesising code. It is one of the most transformative technologies of our era, with applications spreading across sectors such as healthcare, marketing, fintech, education, and media. As organisations explore intelligent automation and AI-enhanced content generation, professionals with deep expertise in Gen AI and machine learning (ML) are increasingly in demand. Recognising this growing need, IITM Pravartak, the technology innovation hub of IIT Madras, in collaboration with Emeritus, has launched the Professional Certificate Programme in Generative AI and Machine Learning. This nine-month online programme is tailored to equip working professionals and aspiring AI practitioners with the tools, skills, and specialisations required to lead Gen AI innovation at scale. This cutting-edge programme is ideal for: Expert guidance from IIT Madras faculty Learn from some of India's leading AI researchers and educators from IIT Madras such as Prof. C. Chandra Sekhar, HoD of CSE Department at IIT Madras (2019-22) and Prof. Ganapathy Krishnamurthy – globally renowned faculty members with expertise in deep learning, NLP, and computer vision. Comprehensive curriculum with real-world focus The curriculum is designed for practical implementation, covering topics such as: You'll gain fluency in the core and emerging tools and concepts driving the Gen AI revolution. Gain an edge with in-demand GenAI specialisations Professionals equipped with practical expertise in high-growth domains of Generative AI and ML are better positioned to drive impact. This programme will allow you to specialise in either Advanced Large Language Models or Computer Vision—two of the most sought-after areas shaping the future of AI. Hands-on experience with industry-leading tools You will work with over 15 widely used tools and frameworks including TensorFlow, Keras, Scikit-Learn, Gradio, PyCaret, and others. The programme features cloud-based labs and guided exercises, offering a practical, industry-relevant learning experience from day one. Flexible, online learning with live sessions This is a fully online, faculty-led programme with: Optional two-day campus immersion at IIT Madras Research Park Network with faculty, researchers, and peers at an optional immersion at the IIT Madras Research Park, experiencing India's premier innovation and R&D ecosystem. Career growth and support Participants also benefit from Emeritus Career Services, including: These services are designed to help you transition confidently into advanced roles in Gen AI and ML. Flexible payment options available. In conclusion The Professional Certificate Programme in Generative AI and Machine Learning by IITM Pravartak is your gateway to mastering the most in-demand technology of the decade. With expert guidance, a practical curriculum, and a choice of specialisations, this programme empowers you to lead and innovate in an AI-first world. Click here to learn more and enrol today
