Varun Aggarwal
APAC News Editor at @FoundryIDG | Author, Customer First | Ex @EconomicTimes @Reuters and @businessline
Articles
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2 weeks ago |
t.ly | Varun Aggarwal
To lead in AI, India must stop chasing what others have already built and instead focus on what hasn't been solved yet. True innovation happens when we take bold bets on hard, important problems — not just by replicating existing breakthroughs like ChatGPT. Remember, deep learning itself was born by challenging the status quo, not copying it.
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3 weeks ago |
onlinelibrary.wiley.com | Hemant K. Singh |Ankit Kachore |Varun Aggarwal |Ekta Bala
Conflict of Interest The authors declare no conflict of interest. References 1, , , , , , , Appl. Nanosci. 2014, 4, 571. 2, , Mater. Sci. Energy Technol. 2019, 2, 29. 3, , , J. Nanoparticle Res. 2014, 2014, 140614. 4, , , Rev. Chem. Eng. 2018, 34, 529. 5, , Artif. Cells Nanomed. Biotechnol. 2018, 46, 127. 6, , , , SN Appl. Sci. 2019, 1, 853. 7, , , , , Ecotoxicol. Environ. Saf. 2015, 121, 135. 8, Natural Polymer Drug Delivery Systems, Springer, Cham, 2016, pp. 33–93.
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2 months ago |
computerworld.es | Varun Aggarwal
“Por lo tanto, el caso de negocio de Microsoft Copilot+ es débil en la actualidad. Sin embargo, esto no es nada nuevo para dicha compañía, ya que tiende a empezar con casos de negocio que parecen no prometer, pero luego, con el tiempo, refuerza su oferta”, añade. Otros expertos también tienen dificultades para entender las razones de las empresas para adquirir un PC con IA.
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2 months ago |
computerworld.com | Varun Aggarwal
As PC vendors continue to launch multiple variations of AI PCs, the promises of Microsoft Copilot and Copilot+ PC have demonstrated little relevance to enterprises, who are yet to see enough use cases to justify the purchase. However, Lenovo is trying to change that with its own AI assistant, AI Now.
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Mar 11, 2025 |
uxmag.com | Varun Aggarwal |Kuldeep S Yadav
Hopefully, the first generation of AI products is over in this era! Some of these were simply prompts on ChatGPT/Dall-E/StableDiffusion to demonstrate a use case. Many of them got millions of users, no, sorry, viewers on Twitter and then vanished a day later. Then, there were others that were thin-wrappers on ChatGPT and masqueraded as usable products. Or, a nice chat UI/UX was stamped on existing or new products waiting for it to deliver magic.
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