Deep Learning Frameworks Used by Tech Firms
Tech companies select deep learning frameworks based on how well they meet project requirements, deployment complexity, and performance demands. image from freepik.com
AI
97 posts in this category(Page 10 of 11)
AI Fraud Detection in UK Finance
The continued development of automated security tools marks a major shift in how the UK financial sector safeguards customers.
Nvidia Chip Ban and AI Geopolitics: Tech Giants' Tough Choices
Nvidia chip ban marks a turning point in global tech. Nvidia has lost key market share in China, while domestic Chinese competitors accelerate.
Microsoft Humanist Superintelligence: People-First AI Strategy
This clarity of purpose sets the effort apart from more speculative pursuits of AGI or self-directed autonomous systems.
Wabi: The YouTube of Apps Raises $20M Pre-Seed
Wabi introduces a new wave of user generated apps, combining personal expression with practical functionality.
AI-Driven ClinCheck Live Plan for Faster Invisalign Smiles
ClinCheck Live Plan changes the game for people seeking straighter smiles. This new tool from Align Technology speeds up the start of Invisalign treatments.
From Ambition to Action: Qualcomm’s AI Data Chips Revolution
The debut of AI data chips comes at a time when inference the stage where trained AI models make real world predictions is becoming a massive workload in global data centres.
From Ambition to Accountability: Quantifying AI ROI
From ambition to accountability, success in AI comes from proof not promises. Quantifying AI ROI turns innovation into reliable performance insights that shape long term growth.
DevOps AI Pipelines: Building Smarter ML Deployment
DevOps AI pipelines adapt traditional DevOps to handle data, code, and models in one process. image from freepik.com