Lifeboat Foundation

Some call it “strong” AI, others “real” AI, “true” AI or artificial “general” intelligence (AGI)… whatever the term (and important nuances), there are few questions of greater importance than whether we are collectively in the process of developing generalized AI that can truly think like a human — possibly even at a superhuman intelligence level, with unpredictable, uncontrollable consequences.

This has been a recurring theme of science fiction for many decades, but given the dramatic progress of AI over the last few years, the debate has been flaring anew with particular intensity, with an increasingly vocal stream of media and conversations warning us that AGI (of the nefarious kind) is coming, and much sooner than we’d think. Latest example: the new documentary Do you trust this computer?, which streamed last weekend for free courtesy of Elon Musk, and features a number of respected AI experts from both academia and industry. The documentary paints an alarming picture of artificial intelligence, a “new life form” on planet earth that is about to “wrap its tentacles” around us.

NEW DELHI (AP) — An unmanned spacecraft India launched last month began orbiting the moon Tuesday as it approaches the lunar south pole to study previously discovered water deposits.

The Indian Space Research Organization said it successfully maneuvered Chandrayaan-2, the Sanskrit word for “moon craft,” into lunar orbit, nearly a month after it left Earth. The mission is led by two female scientists.

Chandrayaan will continue circling the moon in a tighter orbit until reaching a distance of about 100 kilometers (62 miles) from the moon’s surface.

The chip could improve how quickly artificial intelligence systems can…

Robotic Refueling Mission 3’s Multi-Function Tool 2, operated by Dextre, demonstrates robotic refueling operations on the outside of space station (Credit: NASA)

WASHINGTON — If you’ve ever tried to swat a fly, you know that insects react to movement extremely quickly. A newly created biologically inspired compound eye is helping scientists understand how insects use their compound eyes to sense an object and its trajectory with such speed. The compound eye could also be used with a camera to create 3D location systems for robots, self-driving cars and unmanned aerial vehicles.

In The Optical Society (OSA) journal Optics Letters, researchers from Tianjin University in China report their new bio-inspired compound eye, which not only looks like that of an insect but also works like its natural counterpart. Compound eyes consist of hundreds to thousands of repeating units known as ommatidia that each act as a separate visual receptor.

“Imitating the vision system of insects has led us to believe that they might detect the trajectory of an object based on the light intensity coming from that object rather than using precise images like human vision,” said Le Song, a member of the research team. “This motion-detection method requires less information, allowing the insect to quickly react to a threat.”

Robots from all over the world are about to go on a subterranean adventure, competing against each other in mining tunnels to determine which ones can best navigate and find objects underground and do so autonomously.

The Defense Advanced Research Projects Agency (DARPA) is hosting the Subterranean Challenge Systems Competition on Aug. 15–22 in Pittsburgh as a way to develop technology for the military and first responders to map and search subterranean areas.

After breaking all the records related to training computer vision models, NVIDIA now claims that it’s AI platform is able to train a natural language neural network model based on one of the largest datasets in a record time. It also claims that the inference time is just 2 milliseconds which translates to an extremely fast response from the model participating in a conversation with a user.

After computer vision, natural language processing is one of the top applications of AI. From Siri to Alexa to Cortana to Google Assistant, all conversational user experiences are powered by AI.

The advancements in AI research is putting the power of language understanding and conversational interface into the hands of developers. Data scientists and developers can now build custom AI models that work exactly like Alexa and Siri but for a specialized and highly customized industry use case from the healthcare or legal vertical. This enables doctors and lawyers to interact with expert agents that can understand the terminology and the context of the conversation. This new user experience is going to be a part of future line of business applications.

Harvard University researchers have developed a new powered exosuit that can make you feel as much as a dozen pounds lighter when walking or running. Scientific American reports that the 11-pound system, which is built around a pair of flexible shorts and a motor worn on the lower back, could benefit anyone who has to cover large distances by foot, including recreational hikers, military personnel, and rescue workers.

According to the researchers, who have published their findings in the journal Science, this system differs from previous exosuits because it’s able to make it easier to both walk and run. The challenge, as shown by a video accompanying the research, is that your legs work very differently depending on whether you’re walking or running. When walking, the team says your center of mass moves like an “inverted pendulum,” while running causes it to move like a “spring-mass system.” The system needs to be able to accommodate both of them, and sense when the wearer’s gait changes.

One day, who knows when, artificial intelligence could hollow out the job market. But for now, it is generating relatively low-paying jobs. The market for data labeling passed $500 million in 2018 and it will reach $1.2 billion by 2023, according to the research firm Cognilytica. This kind of work, the study showed, accounted for 80% of the time spent building AI technology.

Is the work exploitative? It depends on where you live and what you’re working on. In India, it is a ticket to the middle class. In New Orleans, it’s a decent enough job. For someone working as an independent contractor, it is often a dead end.

There are skills that must be learned — like spotting signs of a disease in a video or medical scan or keeping a steady hand when drawing a digital lasso around the image of a car or a tree. In some cases, when the task involves medical videos, pornography or violent images, the work turns grisly.