Tag: Institute

Categories
News

Birla Institute of Management Technology lanza Bimcoin, una moneda universitaria basada en Blockchain

[ad_1]

Birla Institute of Management Technology (BIMTECH) en India lanzó por primera vez una moneda universitaria basada en blockchain llamada Bimcoin. El token está diseñado para facilitar transacciones seguras y transparentes dentro del ecosistema del instituto para estudiantes, administradores y proveedores. La declaración oficial de lanzamiento distribuida por el instituto dice que la iniciativa está inspirada en los esfuerzos relacionados con la moneda digital del banco central (CBDC) de la India y tiene como objetivo abordar la “creciente necesidad” de integrar blockchain en los sistemas existentes del mundo real, como las finanzas.

“A diferencia de los sistemas financieros tradicionales, Bimcoin aprovecha la naturaleza descentralizada de la cadena de bloques, garantizando la transparencia e integrando funciones programables como contratos inteligentes”. declaración Dicho desde BIMTECH.

Pruebas beta de Bimcoin

Bimcoin se ha sometido a pruebas beta con la moneda del campus y se han completado 1.100 transacciones. Durante las pruebas, se identificaron algunos problemas relacionados con la configuración del usuario y otros procesos de integración técnica, indicó el instituto. BIMTECH afirmó haber realizado “pruebas iterativas y capacitación de usuarios” para solucionar los problemas encontrados durante la fase piloto.

Está previsto que Bimcoin se someta a pruebas de red antes de implementarse en todo el campus. El instituto no compartió un cronograma para completar las pruebas e implementar Bimcoin a mayor escala. BIMTECH tampoco reveló el nombre de la moneda base cadena de bloques.

Planes BIMTECH para Bimcoin

A través de esta iniciativa, la Escuela de Administración pretende brindar a sus estudiantes y profesores la oportunidad de explorar una solución de pago basada en blockchain.

“Más que una simple solución de pago, BIMCOIN sirve como una herramienta educativa, que brinda a los estudiantes experiencia práctica en tecnología blockchain, monedas digitales y sistemas financieros del mundo real”, señala el comunicado.

En el futuro, el instituto planea hacer que blockchain también forme parte de su plan de estudios académico.

“Este es un paso importante para fomentar una cultura de innovación y preparar a los futuros líderes para prosperar en la economía digital”, dijo Pratibha Rajib, directora de BIMTECH. “En línea con la visión de Digital India, el dinero digital aprovecha la tecnología autorizada con cifrado avanzado, controles de acceso estrictos y protocolos de privacidad de datos, lo que garantiza los más altos estándares de seguridad”.

Estudiantes indios y blockchains

Las partes interesadas y los reguladores de Web3 han instado a las instituciones educativas de todo el mundo a implementar iniciativas de concientización sobre los sistemas blockchain y criptográficos.

En enero de 2023, universidades como IIT, ISB y NIT en Delhi, Madras, Kanpur y Roorkee fueron involucradas por la empresa de criptomonedas Mudrex para una serie de iniciativas de criptomonedas bajo un programa llamado “Wagmi”.

Y el IIT-Madras también fue recientemente Integración Blockchain en los sistemas de elección estudiantil. En ese momento, el instituto le dijo a Gadgets 360 que sus experimentos con blockchain no deberían verse como una “apuesta por las criptomonedas”, sino más bien como un experimento piloto para explorar la tecnología de contabilidad distribuida de manera más amplia.

[ad_2]

Source Article Link

Categories
News

Samsung R&D Institute India-Bangalore se asocia con socios académicos para ampliar el soporte del lenguaje Galaxy AI

[ad_1]

Samsung El Instituto Global de Investigación y Desarrollo de India-Bangalore (SRI-B) del gigante tecnológico surcoreano, uno de los principales centros de innovación del gigante tecnológico surcoreano, ha trabajado con socios académicos para desarrollar el idioma hindi para Galaxy AI, un conjunto de Funciones de inteligencia artificial para dispositivos Samsung. La colaboración abarcó 20 dialectos regionales diferentes del idioma, inflexiones tonales y expresiones coloquiales. Uno de los socios clave, el Instituto de Tecnología Vellore (VIT), ayudó a obtener grandes cantidades de datos para entrenar el modelo de lenguaje grande.

SRI-B desarrolla hindi para Galaxy AI

en la sala de redacción correo En el sitio web de Samsung India, la compañía destacó el papel desempeñado por su instituto de I+D y sus socios académicos en el desarrollo de la comprensión del idioma regional para Galaxy AI. La compañía dijo que está trabajando para expandirse. Inteligencia artificial galaxia Estas funciones están disponibles en diferentes idiomas internacionales para permitir que más usuarios utilicen estas funciones en su idioma nativo. La función de idioma mejora las funciones del dispositivo, como Live Translate, Interpreter, Note Assist y Browsing Assist.

Para desarrollar el idioma hindi para el conjunto de herramientas de IA, SRI-B trabajó con VIT. La publicación destaca que el instituto académico ayudó a obtener casi un millón de líneas de datos de audio segmentados y formateados sobre voz, palabras y comandos conversacionales.

El motivo de la colaboración fue la dificultad de generar datos de alta calidad en hindi debido a la gran variación regional. El equipo del SRI-B cubrió 20 dialectos regionales, inflexiones fonéticas, puntuación y expresiones coloquiales diferentes.

Samsung desarrolló una instalación para VIT en el marco de su iniciativa Student Ecosystem for Engineering Data Labs (SEED) en 2021. La compañía dice que el laboratorio está equipado con simuladores de cabeza y torso, micrófonos binaurales y audífonos rodeados por un avanzado sistema de absorción de sonido. También solicita proyectos en los que el personal universitario, los estudiantes y los pasantes puedan trabajar junto con los expertos técnicos proporcionados por el gigante tecnológico.

Vale la pena señalar que el Centro SRI-B ha colaborado con equipos de todo el mundo para desarrollar modelos de lenguaje de IA en inglés británico, hindi, australiano, tailandés, vietnamita e indonesio. El papel del centro de investigación se consideró fundamental y, por lo tanto, se le pidió que desarrollara el idioma hindi para Galaxy AI.

Los enlaces de afiliados pueden generarse automáticamente; consulte Declaración de ética Para detalles.

[ad_2]

Source Article Link

Categories
Entertainment

The Biden Administration opens $285 million funding for ‘digital twin’ chip research institute

[ad_1]

The Biden Administration has opened applications for $285 million in CHIPS Act funding for an institute to develop digital twins for the chip manufacturing industry. The investment aims to speed up silicon design and engineering while boosting national security. It’s part of a multi-billion-dollar push to establish the US as a thriving chip fabrication powerhouse, reducing dependence on the global supply chain and establishing technological dominance over China.

Digital twins are advanced software models of hardware (in this case, processors) that can help save time and money and increase efficiency. The virtual clones allow engineers to anticipate problems and adjust designs accordingly before manufacturing even begins. The auto industry and Space Force (for satellite simulations) have also used the tech.

The Department of Commerce says AI also plays a role. “Digital twin-based research can also leverage emerging technology like artificial intelligence to help accelerate the design of new U.S. chip development and manufacturing concepts and significantly reduce costs by improving capacity planning, production optimization, facility upgrades, and real-time process adjustments.”

Flow chart showing a circle with three hubs and arrows connecting them. They include Flow chart showing a circle with three hubs and arrows connecting them. They include

Nvidia

The funding is part of the 2022 CHIPS Act’s $39 billion allocated for semiconductor R&D. The US had already doled out billions in CHIPS Act manufacturing incentives, including $6.4 billion to Samsung, $6.6 billion for TSMC, $6.1 billion for Micron and $8.5 billion for Intel. However, Bloomberg notes that R&D funding like this could be the most crucial piece of the Biden Administration’s long game to spark homegrown silicon innovation and avoid scenarios where supply chain shutdowns halt parts of the US economy and national security.

The government says the institute’s funds will go toward basic operations, research on digital twins, establishing and supporting shared digital facilities and workforce training. The Biden Administration wants to avoid scenarios like depending on foreign adversaries for tech that can influence America’s national security (as the US military increasingly relies on advanced tech), economic independence and supply chain control.

The Biden Administration’s CHIPS program will host a meeting for potential applicants on May 16.

“This new Manufacturing USA institute will not only help to make America a leader in developing this new technology for the semiconductor industry, it will also help train the next generation of American workers and researchers to use digital twins for future advances in R&D and production of chips,” Secretary of Commerce Gina Raimondo wrote in a press release.

[ad_2]

Source Article Link

Categories
News

Learn about generative AI for free with the Alan Turing Institute

Generative AI explained by the Alan Turing Institute

If you would like to learn more about the field of generative artificial intelligence (AI) that is rapidly transforming how we interact with technology. This area of study, which focuses on the creation of new content such as text, images, and audio from existing data, is becoming increasingly relevant in our daily lives. Technologies like ChatGPT and DallE 3 are prime examples of how generative AI can innovate and automate tasks, showcasing its ability to influence our digital experiences.

Generative AI has been around for a while, subtly shaping the way we use technology. Early versions of AI, like Google Translate and Siri, have set the stage for more advanced systems such as GPT-4. These technologies have evolved from simple automated responses to generating complex, human-like text and realistic images, making them more and more a part of our everyday digital interactions.

At its core, generative AI works by mimicking the human brain through language modeling and neural networks. This allows the AI to learn from vast amounts of data on the web, recognizing patterns and associations that enable it to produce content that is both relevant and engaging. However, creating a generative AI model is just the first step. Fine-tuning these models is crucial to ensure that they can perform specific tasks accurately and reliably.

What is generative AI?

One of the most remarkable aspects of generative AI is its ability to improve itself through self-supervised learning. This means that the AI can analyze additional data, identify its own errors, and correct them without human intervention, much like how we learn from our own experiences.

Here are some other articles you may find of interest on the subject of  generative AI

As AI models become larger and more complex, they can produce outputs that are increasingly nuanced and sophisticated. But scaling up these models comes with its own set of challenges, such as managing the computational demands and the potential for errors that can arise.

Generative AI is not without its flaws. Issues such as bias, misinformation, and the generation of irrelevant or nonsensical content—sometimes referred to as “hallucinations”—can lead to distorted outputs that may be unreliable or even harmful. Addressing these challenges is essential for the ethical use of AI.

The impact of generative AI extends beyond the technology itself. There are environmental considerations to take into account, as well as the potential effects on job markets. As AI becomes more prevalent in society, it’s important to ensure that its development aligns with societal values and ethical practices.

Looking ahead, the future of generative AI is likely to involve more efficient system architectures and the need for careful regulation. Despite its progress, AI still faces difficulties in understanding the physical world and human emotions, which highlights the importance of ongoing research and development.

The recent Turing Institute lecture stressed the importance of human involvement in guiding the evolution of AI. As AI continues to advance, it’s crucial to ensure that it serves beneficial purposes, reduces biases, and reflects societal values.

Generative AI is a powerful tool that has the potential to reshape various industries. Understanding its capabilities, limitations, and impact on society is key to harnessing its power responsibly. As we look to the future, it’s clear that generative AI will continue to play a significant role in how we interact with technology, and it’s up to us to steer its development in a direction that benefits everyone.

Filed Under: Technology News, Top News





Latest timeswonderful Deals

Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, timeswonderful may earn an affiliate commission. Learn about our Disclosure Policy.

Categories
News

The future of generative AI from the Turing Institute Lecture

The future of generative AI from the Turing Institute

The field of artificial intelligence (AI) is undergoing a significant transformation, and the Turing Institute is at the forefront of this exciting era. Named after the legendary AI pioneer Alan Turing, the institute has become a beacon of innovation, turning theoretical concepts into practical applications that are beginning to reshape our world.

Since the mid-2000s, AI has experienced a surge in growth, driven by breakthroughs in machine learning. The effectiveness of these systems is largely dependent on the quality of the training data they receive. This process, known as supervised learning, allows AI to learn from examples. One of the most critical developments in this area has been the creation of neural networks. These networks, inspired by the human brain, enable machines to process and interpret vast amounts of data.

The future of generative AI

Among the most notable advancements in AI is the creation of sophisticated language models, such as GPT-3. These models have the ability to generate text that is so similar to human writing that it can be difficult to distinguish between the two. The versatility of these models is remarkable, and they are being used in a variety of applications. However, they are not without their flaws. These AI systems can sometimes produce errors, demonstrate biases, and raise concerns about issues such as toxicity and compliance with laws like the General Data Protection Regulation (GDPR).

Despite the impressive capabilities of current AI systems, they still fall short in certain areas. For instance, AI does not yet fully understand context, nor does it possess consciousness or reasoning abilities. This distinction highlights the gap between what AI can do and the full spectrum of human intelligence, which encompasses more than just language skills and pattern recognition.

The pursuit of General AI, which aims to replicate the full range of human intellectual abilities, raises profound philosophical and ethical questions. As AI-generated content becomes more prevalent online, we must consider the responsibilities associated with this content and the potential impact of AI on society, including the feedback loops it may create.

To address some of these challenges, researchers are exploring new approaches that combine symbolic AI, which operates based on a set of rules, with the data-driven methods used by large AI systems. This combination is expected to yield more robust and capable AI technologies. Additionally, the development of multimodal AI, which can process and understand various types of data such as text, images, and videos, is set to expand the possibilities of what AI can achieve.

The Turing Institute is playing a critical role in pushing the boundaries of AI while also addressing the ethical considerations that accompany these technological advances. As AI continues to progress, the goal is not to replace human capabilities but to augment them, creating tools that enhance our abilities and contribute positively to society. The future of generative AI is not only about technological innovation but also about navigating the complex landscape of societal implications that come with it.

Image Credit: Turing Institute

Filed Under: Guides, Top News





Latest timeswonderful Deals

Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, timeswonderful may earn an affiliate commission. Learn about our Disclosure Policy.