The most advanced silicon chips have accelerated the development of artificial intelligence. Now can AI return the favor? Cognichip is building a deep learning model to work alongside engineers as ...

On a panel at Austin’s annual South by Southwest, or SXSW, festival on Monday, boosters for the state pitched New Mexico as an emerging deep tech hub. It was the second presentation of New Mexico ...

Abstract: This work's primary objective is to test concretes compressive strength by means of the soft computing approach while using less time, materials and money. The use of deep learning in ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Pioneering Physicist and Hedge Fund Veteran Brings Foundational Expertise to WorldQuant Foundry's Expanding Advisory Network WorldQuant Foundry, a venture studio dedicated to building world-changing ...

The integration of soft computing and machine learning into healthcare systems is increasing due to their effectiveness and precision (Javaid et al., 2022; Abdelaziz et al., 2018). In recent years, ...

ChatGPT deep research is getting easier to use when you care about sourcing as much as answers. OpenAI is rolling out tighter controls that let you steer a research run toward specific websites, pull ...

Accurate prediction of mud loss volume in drilling operations is a critical challenge in industries such as petroleum engineering and geothermal well construction. Unforeseen mud loss leads to ...

Universities and research labs have long been Europe’s deep tech treasure trove. Now, academic spinouts have consolidated into a solid startup funnel worth $398 billion — and VC money is following.