This post was co-written with Tony Momenpour and Drew Clark from KYTC. Government departments and businesses operate contact centers to connect with their communities, enabling citizens and customers to call to make appointments, request services, and sometimes just ask a question. When there are more calls than agents can answer, callers get placed on hold …
AI has never been more front and center for both consumers and development teams. I have hosted AI conversations, and one of the top comments I get is how to get started in AI without a ton of resources or ML developers on hand. The first place I send people is the treasure trove of …
Read more “Got your eye on AI? Try these 6 interactive tutorials”
Cybersecurity experts argue the open letter calling for a pause on GPT-4 and LLM development will do little to address cyberthreats.Read More
Artificial intelligence technologies like ChatGPT are seemingly doing everything these days: writing code, composing music, and even creating images so realistic you’ll think they were taken by professional photographers. Add thinking and responding like a human to the conga line of capabilities. A recent study proves that artificial intelligence can respond to complex survey questions …
Read more “Can AI predict how you’ll vote in the next election?”
Tomorrow.io was arguably the first company to hire an AI-focused content role and it demonstrates how companies are embracing the technology.
There is such a thing as too much data — when it becomes too overwhelming to properly figure out how to use it. Keeping track and making sense of what data your organization has, where it came from, who owns it, and how they can use it, alongside a myriad of other questions, can be a daunting …
Posted by Peter Mattson, Senior Staff Engineer, ML Performance, and Praveen Paritosh, Senior Research Scientist, Google Research, Brain Team Machine learning (ML) offers tremendous potential, from diagnosing cancer to engineering safe self-driving cars to amplifying human productivity. To realize this potential, however, organizations need ML solutions to be reliable with ML solution development that is …
Read more “Data-centric ML benchmarking: Announcing DataPerf’s 2023 challenges”
Bounding box annotation is a time-consuming and tedious task that requires annotators to create annotations that tightly fit an object’s boundaries. Bounding box annotation tasks, for example, require annotators to ensure that all edges of an annotated object are enclosed in the annotation. In practice, creating annotations that are precise and well-aligned to object edges …
As we enter a potentially challenging 2023, machine learning (ML) needs to evolve to become smarter, more efficient and more effective.Read More
A Manhattan grand jury has issued the first-ever indictment of a former US president. Buckle up for whatever happens next.