In a new AI research, a team of MIT and Harvard University researchers has introduced a groundbreaking framework called “Follow Anything” (FAn). The system addresses the limitations of current object-following robotic systems and presents an innovative solution for real-time, open-set object tracking and following.

The primary shortcomings of existing robotic object-following systems are a constrained ability to accommodate new objects due to a fixed set of recognized categories and a lack of user-friendliness in specifying target objects. The new FAn system tackles these issues by presenting an open-set approach that can seamlessly detect, segment, track, and follow a wide range of things while adapting to novel objects through text, images, or click queries.

The core features of the proposed FAn system can be summarized as follows:

Artificial Intelligence will gift us with more benefits and advantages than any other invention or discovery in history. On that, everyone agrees.

But it will also require more skills and mastery than anything else. It will place that onus not just on each of us, but also on those in leadership positions who will have to see to their individual transformations and to the transformations of their organizations.

In my previous post (Forbes.com — 8/10/23) I discussed 11 skills necessary for the AI user. In consultation with six respected colleagues, we compiled a sweeping overview of the skill set we’ll all to be effective AI users. No tech involved in that list, just user skills.

Amidst rife competition from the likes of OpenAI, Baidu, and Microsoft, Google looks into the possibility of creating innovative tools using generative AI to create personalized life coaches.

In the ever-intensifying race to dominate the field of artificial intelligence, tech giant Google has been making significant strides to stand at the forefront.

Earlier this year, Google merged its London-based research lab, DeepMind, with its Silicon Valley-based artificial intelligence team, Brain, marking a pivotal move in its endeavor to harness generative AI technology.

Angel provides driver and customer support. Naomi teaches high school students. But they are not humans. They’re HumAIns, artificial intelligence (AI) agents.

Designed to handle unscripted communication tasks autonomously and proactively, Angel and Naomi use human-like thought processes to lead conversations instead of merely answering questions. And they get smarter with time and experience.

This generative AI wizardry comes from Jerusalem-based Inpris Innovative Products, founded in 2011 by human-machine interaction expert Nissan Yaron and his father, software architect Ben-Etzion Yaron.

The researchers also found a spot in the brain’s temporal lobe that reacted when volunteers heard the 16th notes of the song’s guitar groove. They proposed that this particular area might be involved in our perception of rhythm.

The findings offer a first step toward creating more expressive devices to assist people who can’t speak. Over the past few years, scientists have made major breakthroughs in extracting words from the electrical signals produced by the brains of people with muscle paralysis when they attempt to speak.

But a significant amount of the information conveyed through speech comes from what linguists call “prosodic” elements, like tone — “the things that make us a lively speaker and not a robot,” Dr. Schalk said.