Technology Insights
#DataScience
The code confidence gap nobody’s talking about
AI has changed the economics of software creation: A task that once took hours to implement can now start with The post The code confidence gap nobody’s talking about appeared first on The New Stack.
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#CloudComputing
Microsoft has a new machine learning tool to improve weather forecasts
Old-school physics-based weather forecasting and even new AI models typically become less reliable beyond two weeks, a problem Microsoft claims to have solved using machine learning. Researchers with the company say they've found a new, cost-effective way to make more…
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#DataScience
How artificial neural networks build their own learning machinery
Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.
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#CloudComputing
DistroKid has been quietly taking down songs in response to UMG lawsuit
Artists are taking to social media to complain that DistroKid has unceremoniously removed their work without notice. Now DistroKid has confirmed to The Verge that the takedowns are a direct response to claims made by UMG. The label filed a…
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#GenerativeAI
Book Publishers Are Quietly Using More AI. Staff Are Revolting
Workers at three major publishing houses tell WIRED that LLMs are being used for publicity, cover art, back cover copy, and emails, as some execs push junior staff to champion the tech.
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#DataScience
3 Questions: What is the best path forward for AI in academia?
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
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#DataScience
3 Questions: What is the best path forward for AI in academia?
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
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#DataScience
AI data lakes are driving new storage demands
The frenetic pace of AI development is challenging data center design and operational paradigms. The twin pillars of hyperscale computing The post AI data lakes are driving new storage demands appeared first on The New Stack.
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#DataScience
NVIDIA Jetson to SiMa.ai Modalix MLSoC Migration Guide
This technical guide provides a practical framework for migrating machine learning models and applications from an NVIDIA/CUDA-based environment to the SiMa.ai Physical AI platform. It explains the key differences between the two deployment workflows, outlines the model and application migration…
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