Category: AI
-

AmitKumar Shrivastava at NTLF 2024 on AI
I am honoured to share that I was a speaker at the remarkable NTLF 2024, a gathering that united global leaders at the cutting edge of technology and leadership. My contribution came through a panel discussion on “Nurturing AI Super-Leaders: Striking a Balance Between Technological Advancements and Human Leadership Qualities,” where we explored integrating AI…
-

Deepfake Phenomenon, Impact and Challenges
Deepfakes represent a formidable intersection of technology and ethics, challenging our notions of truth and trust. Their potential to reshape narratives, whether in politics, media, or personal identity, demands vigilant and informed scrutiny. As we embrace their creative possibilities, we must also fortify our technological advancements and legal and ethical frameworks to safeguard against their…
-

A Glimpse into Future Tech: My 2024 Predictions
My 2024 predictions now published in PCQuest Magazine in print – “Beyond Boundaries: A Glimpse into Future Tech”. My interview on the future of Artificial Intelligence and Quantum Computing are featured in PCQuest Magazine’s January edition. I have provided my views on these technologies’ trends, advancements, and transformative impact on our lives and the exciting…
-

My 2023 Year Reflection
As 2023 ends, I’m grateful for a year filled with growth, accolades, and opportunities in AI and data science. Highlights include: LinkedIn Top Voice Recognition: An invitation-only group of experts across the professional world, a proud moment reinforcing my commitment to driving meaningful discourse. Forbes Technology Council: Invited to join the council. A network of…
-

India’s Large Language Language: Challenges and Opportunities
Developing Large Language Models (LLMs) for India’s rich linguistic spectrum faces unique challenges, like diverse languages and dialects, each with its grammar, syntax, cultural context, sensitivity, and local expressions. Additionally, the predominantly oral nature of many Indian languages and the limited electronic documentation complicate data collection, especially for less-spoken languages. Linguistic proficiency and cultural insight…
-

World’s first technology for real-time CPU and GPU processing optimization
Fujitsu developed the world’s first technology for real-time CPU and GPU processing optimization to address global GPU shortage by maximizing the efficiency of existing computing resources, which is essential for generative AI and deep learning applications. Transformative HPC Systems:Our new parallel processing technology enables the real-time switching of multiple program executions in HPC systems. We’ve…
-

Connect with Supply Chain player and NeuroSymbolic AI
While delivering a session to a Supply Chain player, I was pleasantly surprised by questions about Neurosymbolic AI. It’s exciting to see businesses eager and thinking to leverage such emerging tech, and indeed it’s a promising sign for the future of our industry. Every enterprise relies on effective supply chain management. Supply chain management isn’t…
-

Digital Revolution In Retail: How Computer Vision Is Leading The Way
Computer vision (CV) is a branch of artificial intelligence (AI) that empowers computers to interpret and understand the visual world by analyzing images and videos, leading the digital revolution in the ever-evolving retail landscape. With its advanced and growing capabilities, CV is reshaping retail processes and offering consumers an unparalleled shopping experience. Read the complete…
-

Stack Overflow introduces OverflowAI
Stack Overflow introduces OverflowAI, inserting AI into their public & Teams platform, along with IDE integration to make 58M Q&As developer friendly. 𝐤𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: 1. 𝐀𝐈-𝐛𝐚𝐬𝐞𝐝 𝐒𝐞𝐚𝐫𝐜𝐡: Stack Overflow is revamping its search engine with AI, aiming for more relevant and useful results. 2. 𝐓𝐞𝐚𝐦𝐬 𝐒𝐞𝐚𝐫𝐜𝐡 𝐔𝐩𝐠𝐫𝐚𝐝𝐞: The advanced search will extend to Stack Overflow for…
-

𝐅𝐫𝐨𝐦 𝐌𝐢𝐭𝐡𝐚𝐢 (𝐬𝐰𝐞𝐞𝐭𝐬) 𝐭𝐨 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠
In the heart of Nagpur, Meena runs a reasonably small sweet shop. She learned to make local sweets from her grandmother, especially an expert in Santra Barfi. As she goes about making sweets, her radio is her companion, filling her with news from around the world. One day, the radio was buzzing with something called ‘Generative…
-

Federated Learning: A World of Decentralized Data Science Tools and Libraries
Federated learning (FL) is an evolving landscape that revolves around learning from decentralized data. In essence, FL lets you train models across different devices or servers while holding the data locally, ensuring privacy. Below are the some of the libraries and tools to practice FL. PySyft is a Python library that integrates with PyTorch, employing…