Sean Michael Kerner, VentureBeat

Sean Michael Kerner



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Recent articles by Sean Michael:

Can Stable Diffusion generative AI run on a smartphone? Qualcomm says — Yes it can

Qualcomm has optimized and shrunk the Stable Diffusion generative AI model so it can run inference models on an Android smartphone. → Read More

How Reltio is using AI/ML to accelerate master data management (MDM) velocity

Reltio is expanding its MDM capabilities with “velocity packs” that package up configuration and best practices for specific industries. → Read More

How IBM’s new supercomputer is making AI foundation models more enterprise-budget friendly

IBM has built out a cloud-native AI supercomputer from affordable, commodity hardware for foundation model–training R&D initiatives. → Read More

How AI-assisted app from Pfizer and Ada Health aims to help COVID sufferers

Ada Health has partnered with Pfizer on an AI-assisted app to help COVID sufferers get the right treatment as quickly as possible. → Read More

Red Hat gives an ARM up to OpenShift Kubernetes operations

Red Hat announced the general availability of OpenShift 4.12, bringing new capabilities to its hybrid cloud application delivery platform. → Read More

NASA partners with IBM to build AI foundation models to advance climate science

NASA and IBM are developing new AI foundation models to analyze geospatial satellite data to understand and take action on climate change. → Read More

Ray 2.2 boosts machine learning observability and scalability performance

Open-source machine learning (ML) framework, Ray 2.2, was released today with improved performance, observability and reproducibility. → Read More

Federated learning AI model could lead to healthcare breakthrough

AI biotech vendor Owkin has revealed just how powerful the federated model can be for healthcare, including breast cancer treatment. → Read More

How AI is giving a boost to recruiting for the jobs that are toughest to fill

As employers struggle to fill vacant jobs, artificial intelligence (AI)-powered recruiting and human resources tools can help. → Read More

Dell integrates more AI power into updated server portfolio

Today's Dell PowerEdge event introduced a new server lineup with hardware for general purpose workloads and purpose-built systems for AI/ML. → Read More

HPE acquires Pachyderm to boost AI dev

Hewlett Packard Enterprise (HPE) today announced it has acquired Pachyderm to boost AI development capabilities and reproducible AI at scale. → Read More

AI feature engineering is focus as DataStax acquires Kaskada

Real-time streaming vendor DataStax acquires AI vendor Kaskada to provide data foundation and feature engineering for AI inference engines. → Read More

Nvidia boosts generative AI for biology with BioNeMo

Nvidia and Evozyne announced BioNeMo helped build a new generative AI model that could help improve human health as well as climate change. → Read More

Nvidia adds AI workflows to retail to help combat shrinkage

Nvidia is helping retailers reduce theft and fraud, as well as optimize in-store experience, with new retail AI workflows announced today. → Read More

DeepL targets AI translation for enterprises with fresh $100 million

Seeking to target enterprise customers with AI language translation, DeepL announced a funding raise estimated at well over $100 million. → Read More

How BMW Group has embraced AI for positive use cases and to improve sustainability

At the AWS re:Invent cloud conference this week, BMW Group outlined the impact that AI has had on its organization. → Read More

Stability AI looks to AWS cloud to power the next generation of generative AI

Stability AI, developer of the Stable Diffusion text-to-image generative AI model, announced Amazon's AWS as its preferred cloud platform. → Read More

PyTorch 2.0 release accelerates open-source machine learning

The new PyTorch 2.0 promises to accelerate ML training and development, while being backward-compatible with existing PyTorch code. → Read More

PyTorch 2.0 release accelerates open-source machine learning

The new PyTorch 2.0 promises to accelerate ML training and development, while being backward-compatible with existing PyTorch code. → Read More

AWS unveils machine learning (ML) tools for data science in the cloud

Amazon Web Services (AWS) detailed parts of its AI/ML strategy and announced a dizzying lineup of feature updates and new services to help organizations to better use the cloud for data science. → Read More