The Silicon Valley hype cycle follows a familiar pattern: an emerging technology or tech product or service is hinted at, rumored, leaked, reported on, announced, and then shipped. That’s the cycle for what actually happens. At any point during this cycle, the rumors or leaks might turn out to be wrong. Companies could change their […]
Designing neuromorphic sensory processing units (NSPUs) based on Temporal Neural Networks (TNNs) is a highly challenging task due to the reliance on manual, labor-intensive hardware development processes. TNNs have been identified as highly promising for real-time edge AI applications, mainly because they are energy-efficient and bio-inspired. However, available methodologies lack automation and are not very […]
Ethical AI is transforming the financial sector. The vital work of the Dr. Pushpak Bhattacharyya Committee, which is paving the way for responsible AI practices in finance. From secure banking to smarter investments, the potential is immense, but so are the risks like data misuse and biases. Enter FREE-AI (Framework for Responsible and Ethical Enablement […]
GATE DA 2025: Artificial Intelligence Test Series Practice Session Welcome to our Artificial Intelligence Test Series Practice Session for GATE DA 2025 aspirants! 🚀 This session is designed to help you master the core concepts and problem-solving techniques for one of the most significant topics in the GATE Data Science and AI syllabus. What’s Covered? […]
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As someone who’s spent countless hours wrestling with Photoshop’s endless menus and steep learning curve, I was blown away by how user-friendly Picsart is. Picsart is an all-in-one creative platform with tools for photo and video editing, AI features, and a vast library of templates, stickers, and effects. In this Picsart review, I’ll discuss the […]
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Why it matters: OpenAI’s funding needs explained and analyzed to explore challenges, strategies, and innovation goals shaping the future of ethical AI.
Why it matters: AI revolutionizes cybersecurity by 2025 with real-time threat detection, automation, and proactive intelligence solutions.
Why it matters: Discover NVIDIA’s cost-effective generative AI supercomputer, revolutionizing industries with scalable AI solutions.
Jensen Huang leads Nvidia – a tech company with a skyrocketing stock and the most advanced technology for artificial intelligence.
Bitcoin (CRYPTO: BTC) scripted history in 2024, not only breaking the long-held record of $69,000 but also hitting the magical $100,000 milestone. A slew of crucial developments occurred throughout …
Artificial Life (ALife) research explores the emergence of lifelike behaviors through computational simulations, providing a unique framework to study “life as it could be.” However, the field faces significant limitations: a reliance on manually crafted simulation rules and configurations. This process is time-intensive and constrained by human intuition, leaving many potential discoveries unexplored. Researchers often […]
Perplexity AI Tutorial: Faster Than ChatGPT? Best AI Tool for Research 2024! Discover how Perplexity AI is revolutionizing the way we access information! In this tutorial by TooliFy, learn how this cutting-edge AI tool outperforms ChatGPT in speed and accuracy. From answering complex queries to simplifying research tasks, Perplexity AI is the future of AI […]
Mr. Sam Pitroda is an internationally respected telecom inventor, entrepreneur, development thinker, and policymaker who has spent 50 years in information and communications technology (ICT) and related global and national developments. Twitter : www.twitter.com/sampitroda Facebook: www.facebook.com/sampitroda Instagram: www.instagram.com/samgpitroda Web: www.sampitroda.com
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Why it matters: AI blood test transforms early cancer detection by offering accuracy, early detection, and hope for better outcomes.
Why it matters: Unlock AI’s mind-reading potential to revolutionize brain-computer interaction, enhancing communication & neurotechnology.
LLMs have revolutionized software development by automating coding tasks and bridging the natural language and programming gap. While highly effective for general-purpose programming, they struggle with specialized domains like High-Performance Computing (HPC), particularly in generating parallel code. This limitation arises from the scarcity of high-quality parallel code data in pre-training datasets and the inherent complexity […]
