Apple, Amazon Boost AI Services, Unity Enhances Gaming with AI

1. Apple and Amazon Enhance AI Efforts for Improved Services and E-commerce Search

Apple and Amazon are boosting their generative AI efforts.

Apple, having posted job listings for machine learning specialists, plans to improve its AI capabilities, particularly for natural language processing and integrated systems. Roles include working on generative modeling for applications such as video editing and avatar generation. Amazon seeks to enhance e-commerce search functionality, with jobs focused on creating interactive conversational experiences and offering personalized suggestions. The upgrades could impact sellers who pay for their ads to feature first in searches, but Amazon hasn't commented.

Amazon's AI push also includes access to various foundational models via its Bedrock platform.

Read the full story here

2. Unity Deploys Generative AI for Transformative Gaming Experiences

Unity, widely used in mobile gaming, is incorporating generative AI, a move expected to radically transform in-game experiences.

This development brings infinite levels, worlds, and variation, enhancing realism in games. Startups like Inworld AI offer AI characters with distinct personalities for more immersive experiences. Unity's Project Barracuda enables AI models within devices, reducing costs. The company anticipates these live gaming worlds will vastly improve user engagement. Despite concerns over "internet gaming disorder," the potential benefits are massive.

Unity predicts AI can increase developer productivity tenfold, although complex games will still require human input. The integration of AI in gaming may boost an already thriving industry.

Read the full story here

3. Dell and Nvidia Collaborate on Project Helix for On-Premises Generative AI Deployment

Dell and Nvidia have expanded their long-standing partnership with Project Helix, which is set to deliver generative AI for on-premises enterprise use.

This initiative merges hardware, software, and services to help enterprises benefit from large language models (LLMs) and generative AI. It comprises validated blueprints and reference deployments for generative AI workload deployment. Dell PowerEdge servers will feature Nvidia H100 tensor core GPUs and integrate with Dell PowerScale and Dell ECS enterprise object storage.

The software stack will have Nvidia AI Enterprise and capabilities from Nvidia's NeMo framework. Project Helix is focused on the operationalization of LLMs for various enterprise use cases.

Read the full story here

4. Cohesity and Google Cloud Join Forces to Enhance AI-Driven Data Security

Data security and management platform, Cohesity, announced an extensive collaboration with Google Cloud and the launch of Cohesity Turing, a suite of AI capabilities aimed at providing AI-driven insights across various sectors.

The collaboration is designed to help organizations utilize their complete data ecosystem securely across on-premises, multicloud, and edge environments. Cohesity plans to integrate Google's advancements in AI technology into its data security and management platform, Cohesity Data Cloud.

This will also involve integration with Google's Vertex AI, a machine learning platform designed to streamline AI model deployment processes for companies.

Read the full story here

5. Anthropic Raises $450M in Series C to Bolster Claude, its Ethical AI Assistant

San Francisco-based AI startup, Anthropic, secured $450 million in Series C funding led by Spark Capital and with participation from Google, Salesforce Ventures, Sound Ventures, and others.

The funds will expand its product suite, scale its AI assistant Claude, and further research on ethical AI systems. Claude, known for its transparency, is currently being tested with partners like Notion, Quora, and DuckDuckGo. Despite a previous association with controversial Alameda Research, Anthropic's robust financial support from leading tech companies underlines its growth trajectory.

The company refused to comment on its relationship with Alameda Research.

Read the full story here