article thumbnail

Stability AI backs effort to bring machine learning to biomed

TechCrunch

Called OpenBioML , the endeavor’s first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry. Stability AI’s ethically questionable decisions to date aside, machine learning in medicine is a minefield. Predicting protein structures.

article thumbnail

Baseten nabs $20M to make it easier to build machine learning-based applications

TechCrunch

Today, one of these, Baseten — which is building tech to make it easier to incorporate machine learning into a business’ operations, production and processes without a need for specialized engineering knowledge — is announcing $20 million in funding and the official launch of its tools.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Traceable AI nabs $60M to secure app APIs using machine learning

TechCrunch

Businesses need machine learning here. ” Like several of its competitors, including Salt, Traceable uses AI to analyze data to learn normal app behavior and detect activity that deviates from the norm. “However, sophisticated API-directed cyberthreats and vulnerabilities to sensitive data have also rapidly increased.

article thumbnail

Machine learning model serving architectures

Xebia

After months of crunching data, plotting distributions, and testing out various machine learning algorithms you have finally proven to your stakeholders that your model can deliver business value. For the sake of argumentation, we will assume the machine learning model is periodically trained on a finite set of historical data.

article thumbnail

Artificial Intelligence in practice

CIO

Some examples of AI consumption are: Defect detection and preventative maintenance Algorithmic trading Physical environment simulation Chatbots Large language models Real-time data analysis To find out more about how your business could benefit from a range of AI tools, such as machine learning as a service, click here.

article thumbnail

Are you ready for MLOps? 🫵

Xebia

Both the tech and the skills are there: Machine Learning technology is by now easy to use and widely available. So then let me re-iterate: why, still, are teams having troubles launching Machine Learning models into production? Graph refers to Gartner hype cycle. So what is MLOps comprised of?

article thumbnail

Patients may suffer from hallucinations of AI medical transcription tools

CIO

For example, Whisper correctly transcribed a speaker’s reference to “two other girls and one lady” but added “which were Black,” despite no such racial context in the original conversation. Another machine learning engineer reported hallucinations in about half of over 100 hours of transcriptions inspected.

Tools 179