NEWS IN BRIEF: AI/ML FRESH UPDATES

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Decoding US AI Regulation

US AI policy appears deregulatory, but govt heavily intervenes in AI building blocks like chips for national security reasons. Biden restricts chip access to China, while Trump sought deals with UAE.

Ethical AI Project Prioritization

Companies are prioritizing generative AI projects, considering new concerns like hallucination and regulatory changes. AWS outlines responsible AI practices to mitigate risks and maximize benefits in project prioritization using the WSJF method.

The AI Friendship Experiment

Wearable AI chatbot Friend's controversial ad campaign in NYC sparks debate on ending loneliness. Meet Leif, the AI companion promoting friendship in unexpected places.

Mastering AI Cost Management for Amazon Bedrock

Organizations using Amazon Bedrock's generative AI face cost management challenges with a token-based pricing model. Proactive cost monitoring using leading and trailing indicators is crucial for controlling expenses and optimizing decision-making processes.

MIT Alumni Elected to National Academy of Medicine

MIT faculty members Dina Katabi and Facundo Batista elected to the National Academy of Medicine for groundbreaking work in health and medicine. Katabi pioneers digital health tech for remote monitoring, while Batista advances vaccine development for diseases like HIV and influenza.

Revolutionize Product Teams with Amazon Bedrock

Transform creative processes with AWS services like Amazon Bedrock, enabling rapid content iteration and maintaining brand consistency. Streamline workflows, generate marketing materials, and develop multimedia content efficiently with generative AI applications.

Effortless Code Migration with Amazon Nova Premier

Enterprise systems burdened with outdated technologies can migrate legacy C code to modern Java/Spring apps using Amazon Bedrock Converse API and Amazon Nova Premier. Specialized agent roles, feedback loops, and human oversight reduce migration time, improve code quality, minimize risk, and enable seamless AWS integration.

Revolutionizing Enzyme Discovery with AWS Inferentia

Generative AI at Metagenomi uses protein language models to expand natural enzyme diversity, enabling cost-effective high-throughput generation of enzyme variants with AWS Inferentia. Progen2 model on EC2 Inf2 instances optimizes synthetic protein generation for improved enzyme performance.

Boost AI Training with Amazon SageMaker HyperPod

Amazon SageMaker HyperPod accelerates AI model training with built-in resiliency, decreasing training time by up to 40%. The HyperPod training operator enhances training resilience for Kubernetes workloads, managing distributed training across large GPU clusters efficiently.