In the case of Amazon and Anthropic, the companies maintain that teams are writing ‘low-level kernels,’ so that parts of the system can interface directly with the Trainium processor as hardware, in the words of spokespersons, the ‘Trainium silicon.’

The tech powerhouse describes how it deploys its vast array of computing and communication tools to work to battle hackers and crooks who are using AI to scale up threats to businesses.

Amazon has increased its investment in AI startup Anthropic with an additional $4bn, taking the e-commerce giant’s total investment to $8bn. With the latest funding, Amazon will remain a minority investor in the AI company.

SiliconANGLE got an exclusive, behind-the-scenes tour of Amazon Web Services Inc.’s Annapurna Labs, where the cloud powerhouse does the secretive work of designing and testing the upcoming generations of itsAI accelerator Trainium and custom cloud compute Graviton chips.

Amazon is reportedly building a new AI model that is multimodal to reduce their dependency on Anthropic AI which is backed by them.

AI-generated voices are synthetic voices that use AI to mimic human speech, generated by deep learning algorithms and neural networks. AI voices work by analyzing large amounts of real human speech (voice recordings) to learn patterns in intonation, pace, and accents. The AI then uses this information to convert text into speech.

The technology has spawned a surge in hacking attempts, says cyber chief CJ Moses, while Amazon is also using it to powerfully amp up its threat-analysis capability.

The generative AI landscape is crowded, with global tech giants vying for dominance. OpenAI, which secured $6.6 billion in funding in October, now boasts a valuation of $157 billion. Meanwhile, Elon Musk 's xAI is seeking investments that could push its valuation to $40 billion.

The cloud computing giant won’t dislodge the incumbent anytime soon but is hoping to reduce its reliance on the chipmaker.

E-commerce giant Amazon has developed new generative artificial intelligence that can process images and videos in addition to text.

As generative AI moves to production systems, adopters are reaping rewards like accelerated productivity, says Swami Sivasubramanian, AWS vice president for AI and data.