Aishe News

As IoT devices and data traffic become increasingly vulnerable to network attacks, the need for secure access between devices and clouds on a global scale is paramount. Console Connect, a global Network-as-a-Service (NaaS) platform, has introduced what it describes as the world's first private connectivity solution that enables companies to dynamically and securely route data traffic directly between devices and clouds worldwide without traversing the public internet. The new offering, Edge SIM, meets the demand of businesses for a secure and private virtual "mesh" network between devices, clouds, applications, office locations, data centers, and other network endpoints. It ensures that mobile data traffic is not exposed to the public internet, thereby mitigating the risk of cyberattacks. Companies can use Edge SIM and the Console Connect NaaS platform to create their private virtual mesh network, eliminating the complexity of network configuration and management and simp...

In recent years, artificial intelligence (AI) has made significant strides, from chatbots to voice assistants. However, the development of Auto-GPT takes AI to a new level of autonomy. Unlike Chat-GPT, Auto-GPT does not require human interaction, generating its own clues with just one user request and creating any type of application, web portal or book, to name just a few. (toc) #title=(content list) Developed in Python by Toran Bruce Richards, this experiment uses code snippets from GPT-3 and GPT-4 to perform actions without requiring human interaction. Richards describes Auto-GPT as an "experimental open-source application that demonstrates the capabilities of the GPT-4 language model. This program chains the "thoughts" of the LLM to autonomously achieve any goal you propose." One of the most impressive aspects of Auto-GPT is its ability to use a feedback loop to plan, critique, act, read comments, and plan again. This allows Auto-GPT to continuously improve it...

Welcome to the wondrous world of TSUBAME 4.0 Supercomputer, where computing power reaches astronomical proportions and dreams of conquering the universe become a (slightly exaggerated) reality. Brace yourself for an epic journey through the depths of this remarkable machine. (toc) #title=(content list)   Technical Details of TSUBAME 4.0 Architecture: x86_64 CPU with CUDA GPU support Computing Performance: 66.8 petaflops in double precision, 952 petaflops in half precision GPUs: 960 NVIDIA H100 Tensor Core GPUs Processors: 240 HPE Cray XD6500 series servers with 4th generation AMD EPYC processors Memory: 768GiB of main memory per computing node Storage: Cray ClusterStor E1000 with 44.2 PB of hard disk-based shared storage and 327 TB of SSD-based high-speed storage Network: NVIDIA Quantum-2 InfiniBand network interface with 100 Gbps connection via SINET6 Software: Support for CUDA and various computational science and technology frameworks Usability: Virtualization technolo...

In the landscape of technology, two forces have emerged as game-changers: cloud computing and generative AI (genAI). These innovations have revolutionized how businesses handle data, offering unprecedented insights and capabilities. However, this progress comes with a hefty price tag, creating a paradox that many companies are struggling to navigate. The Cloud-AI Paradox The Promise and Peril of Cloud-Powered Analytics Cloud computing has become the backbone of modern data analytics. It provides the infrastructure and tools necessary for businesses to harness the power of genAI, offering scalable resources that can handle massive datasets and complex algorithms. This combination has opened doors to advanced analytics capabilities that were once the stuff of science fiction. Imagine a retail company using cloud-based genAI to analyze millions of customer interactions, predicting trends and personalizing experiences in real-time. Or picture a healthcare provider using these technologi...

Mexico would be a huge, exciting garden. Full of colorful flowers, exotic fruits and endless possibilities. But to make this garden bloom, it needs water, sun and a little fertilizer. And Microsoft is now providing exactly that fertilizer in the form of 1.3 billion dollars!   AI - Microsoft invests in Mexico Why is Microsoft investing in Mexico? Well, Microsoft sees Mexico as not just a garden, but a vast, digital field full of opportunities. A field that, with the right care, can yield a veritable harvest of innovation. And since Microsoft itself is a company that thrives on innovation, this investment is like sowing a seed in fertile soil.     What does this mean for Mexico? More jobs:  Investing in AI infrastructure will create new jobs. Mexico will become a digital melting pot where talented minds can work on groundbreaking projects. Education for all:  Millions of people should receive training in artificial intelligence. That would be ...

In a momentous virtual ceremony, the Ministry of Education and the US Department of State have joined forces to establish the India-US Working Group on Education and Skill Development. This strategic alliance aims to strengthen collaboration between the two nations in the crucial domains of education and skill enhancement, paving the way for a brighter future. India-US launch Working Group on Education and Skill Development Amidst the backdrop of virtual backgrounds and respectful nods, government officials from both sides assembled with utmost determination to tackle the challenges facing education and skill development. With a shared vision of empowering the future workforce, they embarked on this extraordinary journey of knowledge exchange and cooperative endeavors. Through a series of virtual meetings, this working group will explore innovative solutions to bridge skills gaps, enhance employability, and foster entrepreneurship. Discussions will revolve around the importance of voca...

(toc) #title=(Table of Content) As artificial intelligence (AI) continues to grow in importance in business, the top AI companies are emerging as leaders in this field. These companies use a combination of technologies, such as cloud computing and edge computing, to meet and exceed the expectations of customers in various settings, including homes, workplaces, and communities. Top 100 Artificial Intelligence Companies in 04/2023 While machine learning (ML) is currently the dominant technology in AI, the leading AI companies are also expanding their capabilities through other technologies such as predictive analytics, business intelligence (BI), data warehousing, and deep learning (DL). This expansion is addressing several industry pain points. To help organizations stay up-to-date with the AI market, we have compiled a list of the top 100 AI companies that are playing a key role in shaping the future of AI, broken down by industry: Cloud AI Companies Leading cloud providers like M...

Silicon Valley, that magical place where people wear hoodies to billion-dollar meetings and think paying $15 for avocado toast is perfectly reasonable.  Now enter our new players: Chinese tech giants who've decided they want a piece of the AI pie – or should I say, a byte of the digital dumpling? AI true Love Story: When Chinese Tech Met American Talent You see, companies like Alibaba, ByteDance, and Meituan are doing what any sensible tech company would do when they're feeling a bit behind in the AI race: they're setting up shop right in their competitors' backyard!  It's like opening a burger joint next door to McDonald's and then trying to hire away their secret sauce specialist. Subtle? About as subtle as a Tesla Cybertruck at a vintage car show. Now, you might think, "Wait a minute, isn't the U.S. government trying to keep their fancy AI chips away from Chinese companies?"  Well, yes! But here's where it gets interesting.  While they ca...

Artificial Intelligence (AI) has rapidly evolved, revolutionizing various industries. However, the development of AI models comes with a significant cost, primarily driven by computational resources and data. Understanding these costs is crucial for businesses and researchers alike, as it directly impacts the feasibility and scalability of AI projects.   Key Factors Influencing AI Model Training Costs Several factors contribute to the varying costs associated with training AI models: Model Size and Complexity: Larger models with more parameters generally require more computational resources, leading to higher costs. Training Data: The quality and quantity of data used for training significantly impact costs. More data often necessitates larger datasets and more powerful hardware. Hardware: The type and capacity of hardware used for training, such as GPUs or TPUs, directly influence costs. High-performance hardware can accelerate training but comes at a premium. Training...

Microsoft has recently announced its plan to use AI to automate workflows in its Office suite, including PowerPoint, Word, and Excel. The goal of this move is to help users be more productive by eliminating repetitive tasks and streamlining their workflow. Automate Office Workflows with AI in PowerPoint, Word, and Excel One of the main ways Microsoft plans to accomplish this is through the use of machine learning models that can analyze the content of documents and provide relevant suggestions and actions to the user. For example, in Word, the AI-powered system can help suggest changes to grammar and sentence structure, as well as provide synonyms for commonly used words. In Excel, the system can automatically fill in formulas and suggest ways to visualize data. Another area where AI will be used is in automating tasks such as data entry and report generation. With PowerPoint, for instance, Microsoft is developing a feature that can take a bulleted list and automatically tu...

The latest masterpiece from beloved EU bureaucrats? They're building SEVEN "AI factories" across Europe! Yes, you heard that right - factories for artificial intelligence. Because apparently, the regular kind of intelligence was getting a bit boring. You know how it usually goes with European projects - first, we throw a casual €1.5 billion at it (pocket change, really), then we spend three years arguing about which country gets the nice coffee machine. But this time, they've actually divided it up rather nicely: Barcelona, Luxembourg, Bologna, Stuttgart, Athens, and a couple of places up north where even the AI will need a warm jacket. The EU's Digital Renaissance: AI Factories Across the Continent "Silicon Castles: How Europe is Building its AI Empire" Now, you might be wondering, "What exactly is an AI factory?" Well, imagine a really, really expensive building filled with supercomputers that basically do what your teenager does all day - ...