Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation
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After Davos 2024: From AI hype to reality
Post Davos, we stand at a crossroads where stewardship and innovation can steer us to a future where AI technology amplifies human potential.Read More
The Far Side HD
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How data engineers should prepare for an AI world
How AI will allow data engineers to automate the most laborious parts of their work and free up time to think about the bigger picture.Read More
23andMe Failed to Detect Account Intrusions for Months
Plus: North Korean hackers get into generative AI, a phone surveillance tool that can monitor billions of devices gets exposed, and ambient light sensors pose a new privacy risk.
Same arguments, different prompts
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Financial Services Marketing: Everything you Need to Know About Promoting Personal Finance Products
Personal finance is less about the products themselves and more about customer financial needs and goals. Financial services marketing allows financial institutions to educate consumers about how personal finance products can enable them to achieve their goals. But, it goes even further than that. In order to capture engagement and conversions, financial services marketers must …
User-Centered Machine Learning
A New Paradigm for Computer Vision Workflows Massive investments are being made across the DoD to develop and field Machine Learning (ML) based capabilities for intelligence and operational data sources. In particular, the application of Computer Vision (CV) models on top of overhead aerial imagery has become a key focus area for teams looking to …
Networks unchained: the shift toward intent-based autonomous operations
Telecommunications industry, a cornerstone of global connectivity, has been going through a technological renaissance for some time, driven by innovations such as 5G, IoT, cloud computing and AI. As a result, networks have become increasingly hard to manage. There is a need for automation to handle routine tasks, monitor network health and respond to issues in …
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Mixed-input matrix multiplication performance optimizations
Posted by Manish Gupta, Staff Software Engineer, Google Research AI-driven technologies are weaving themselves into the fabric of our daily routines, with the potential to enhance our access to knowledge and boost our overall productivity. The backbone of these applications lies in large language models (LLMs). LLMs are memory-intensive and typically require specialized hardware accelerators …
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