AI could help reduce injury risk in pianists
Researchers at Stanford Engineering have developed an AI-trained model to accurately recreate the hand movements of elite-level pianists and the physical stresses they endure while playing.
Researchers at Stanford Engineering have developed an AI-trained model to accurately recreate the hand movements of elite-level pianists and the physical stresses they endure while playing.
I believe in the ‘learning by doing’ approach—you learn more this way.
Advancing adaptive AI agents, empowering 3D scene creation, and innovating LLM training for a smarter, safer future
As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society. This belief is at the heart of our long-standing commitment to building …
Read more “Advancing AI trust with new responsible AI tools, capabilities, and resources”
In today’s congested digital landscape, businesses of all sizes face the challenge of optimizing their marketing budgets. They must find ways to stand out amid the bombardment of messages vying for potential customers’ attention. Moreover, they grapple with rising customer acquisition costs and dwindling retention rates, impeding their profitability. Adding to this complexity is the …
Read more “Moloco: 10x faster model training times with TPUs on Google Kubernetes Engine”
Apply to present your AI innovation at Transform’s Innovation Showcase and gain exposure to top industry decision-makers.Read More
OpenAI just unveiled a new subscription tier called ChatGPT Pro. Users can pay $200 a month for almost unlimited access to ChatGPT’s tools, and an exclusive new AI model.
An innovative algorithm called Spectral Expansion Tree Search helps autonomous robotic systems make optimal choices on the move.
The Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) and several collaborating institutions have successfully demonstrated a machine-learning technique to accelerate the discovery of materials for film capacitors—crucial components in electrification and renewable energy technologies. The technique was used to screen a library of nearly 50,000 chemical structures to identify a compound with record-breaking …
The AI field is rapidly evolving, becoming one of the most dynamic areas within machine learning.