MLOps

Google showcased a flood of new features in its latest bid to get ahead in the generative AI arms race. The company demonstrated AI features for consumers and developers at its annual I/O conference.

Behind schedule on a software project? There’s an app for that. Language models fine-tuned on computer code proved capable of generating software routines similar to the work of experienced developers — though the results can be hit-or-miss.

Nvidia, known for chips designed to process AI systems, is providing access to large language models. Nvidia announced early access to NeMo LLM and BioNeMo, cloud-computing services that enable developers to generate text and biological sequences respectively.

A survey of data scientists reveals a field of great opportunities but also room for improvement. The 2022 “State of Data Science” report from Anaconda, maker of a popular Python distribution, surveyed 3,493 students, teachers, and employees.

The real-estate website Zillow bought and sold homes based on prices estimated by an algorithm — until Covid-19 confounded the model’s predictive power. Zillow, whose core business is providing real-estate information for prospective buyers, shut down its house-flipping division after...

Deploying models for practical use is an industrial concern that generally goes unaddressed in research. As a result, publications on the subject tend to come from the major AI companies.

Craig Wiley has journeyed from the hand-deployed models of yore to the pinnacle of automated AI. Today, as chief product manager of Google Cloud’s AI services, he’s making advanced tools and processes available to anyone with a credit card.

When every email, text, or call a company receives could mean a sale, reps need to figure out who to reply to first. Machine learning can help, but using it at scale requires a highly automated operation.

A computer vision model, continually trained and automatically updated, can boost quality control in factories. Landing AI, a machine learning platform company led by Andrew Ng, helped a maker of compressors for refrigeration check them for leaks.

Foiling attackers who try to lure email users into clicking on a malicious link is a cat-and-mouse game, as phishing tactics evolve to evade detection. But machine learning models designed to recognize phishing attempts can evolve, too, through automatic retraining and checks to maintain accuracy.

AI startups continue to roared ahead, global pandemic or no. Tech industry analyst CB Insights published its fifth annual list of the 100 most promising private AI companies.

The same models trained on the same data may show the same performance in the lab, and yet respond very differently to data they haven’t seen before. New work finds this inconsistency to be pervasive.

A survey of AI in large companies sees boom times ahead — if AI teams can get past issues that surround implementation. Businesses of all sizes are using more machine learning, spending more on it, and hiring more engineers to wrangle it.

Synthetic datasets can inherit flaws in the real-world data they’re based on. Startups are working on solutions. Generating synthetic datasets for training machine learning systems is a booming business.

Asian companies lead the world in AI deployment, new research argues. Market research by MIT Technology Review Insights found that companies in the Asia-Pacific region are using machine learning faster and with better results than any other part of the world.