Generative AI has quite suddenly turned into a rage, intensifying the digital battle between Google and Microsoft as they embed it across offerings. Now, companies are developing their own tools to harness its power for greater efficiency and make the user experience seamless. Dia Rekhi has the detailsIt's all thanks to OpenAI's generative AI tool ChatGPT.Air India, PocketFM, ManageEngine, Mad Street Den, MakeMyTrip, Khan Academy – to name but a

Image annotation is one of the most important stages in the development of computer vision and image recognition applications, which involves recognizing, obtaining, describing, and interpreting results from digital images or videos. Computer vision is widely used in AI applications such as autonomous vehicles, medical imaging, or security. Therefore, image annotation plays a crucial role for AI/ML development in many sectors. Supervised ML models require data labeling to work effectively. Image annotation is a subset of data labeling where the labeling process focuses only on visual digital data such as images and videos. Image annotation often requires manual work.

There is a mediocre content deluge coming to the internet the likes of which we have not seen. What if you could produce 10x the amount of content at at 10x cost savings, what would you do? Even if the content were mediocre would you still be tempted to take advantage of the ability to throw content against the well and see what sticks? What would that mean for websites, link farms, private blog networks, link builders, SEOs and search engine algorithms? What would it mean for quality, believable, original content?

Are we betting too much on the future of artificial intelligence? Is it just a capitalists dream to become richer or do we have a Utopia future of a perfect paradise? Technology has impacted all aspects of our lives. It has transformed business and economy to a level where the value of human contribution is constantly decreasing. Now is the time we need to ask -- Do we have goals for humanity?

When the robot revolution comes, the weapons robots use to destroy us could be cobbled together from the scraps of our own society. More realistically, though, researchers like a group at Georgia Tech are trying to figure out how robots can help us in the most dangerous situations, when our own logic may be clouded by stress. Lakshmi Nair, a robotics PhD student and member of the group, told Quartz that the team was inspired by the tribulations of the astronauts aboard Apollo 13, who had to jury-rig together a carbon-monoxide removal system after an oxygen tank exploded on their vessel. Between the astronauts and staff on Earth, it took three days to figure out how to cobble together gear to help the astronauts survive. "When I came across that story, one of the things that struck me was that it took a very long time to come up with that solution," Nair said.

A growing number of businesses are seeking to apply artificial intelligence (AI) to innovate customer experience and launch disruptive products. If your company is among them, you will need to label massive amounts of text, images, and/or videos to create production-grade training data for your machine learning (ML) models. That means you'll need smart machines and skilled humans in the loop. "Firms achieve the most significant performance improvements when humans and machines work together," wrote Paul Daugherty and Jim Wilson in Harvard Business Review, about their research at Accenture involving 1,500 companies. "Through such collaborative intelligence, humans and AI actively enhance each other's complementary strengths: the leadership, teamwork, creativity, and social skills of the former, and the speed, scalability, and quantitative capabilities of the latter."

Clever crows can assemble tools from two or more components without any help, a feat previously seen only in humans and great apes. The birds were filmed slotting together rod pieces to create a tool long enough to extract a morsel of food which scientists had hidden away. In one experiment, they were presented with disassembled syringes, and created the right length of tool without any prompt or demonstration. The birds' ability to anticipate what an unseen object will be able to do matches the intelligence of a human toddler, Oxford University researchers said. The animals in the experiment were New Caledonian crows - a species native to a large Pacific island east of Australia of the same name.

SRI International is developing micro-robots, each with its own tool that can work together as a swarm to construct macro-scale products. These micro-robots are basically magnets that are controlled with magnetic fields through a printed circuit board substrate. It means these tiny robots are built of simple and low-cost materials that allow for mass production. The circuit boards guide the direction and speed that the robots move in, enabling movement of up to 35 centimeters per second along even flexing surfaces. Controlling the robots is a little like moving an army of ants that run on parallel tasks.

A few years ago, SRI International introduced their MicroFactory platform, which uses hundreds of tiny robots (each one smaller than a dime) that cooperate to build macro-scale structures, like trusses, which can even contain integrated electronics. Such complex manufacturing requires cooperation between many different micro robots, each one outfitted to perform a specific task. Building a bunch of little custom bots is, we have to assume, a little bit tedious, so SRI has developed a tool shop for their MicroFactory that can make custom end-effectors for micro robots on-demand. SRI's micro robots are really just small magnets: all of the intelligence is built into the substrate that they travel on. Printed circuit boards drive them along electromagnetically, with the ability to control their speed and movement in two axes as well as rotationally.