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As technology advances, Big Data will play an increasingly important role in protecting Earth from asteroids. By harnessing the power of data analytics, AI, and machine learning, scientists can monitor and predict asteroid movements with greater accuracy than ever before. This enables us to develop early warning systems and potentially deflect asteroids before they can cause harm. Aspiring data scientists interested in contributing to such significant fields can gain the necessary skills by enrolling in a data science course in Chennai, where they can learn to utilize these advanced tools and techniques.

What methods can be developed to help identify symptoms of myopia and its more serious version, myopic maculopathy? This is what a recent study published in JAMA Ophthalmology hopes to address as an international team of researchers investigated how artificial intelligence (AI) algorithms can be used to identify early signs of myopic maculopathy, as left untreated it can lead to irreversible damage to a person’s eyes. This study holds the potential to help researchers develop more effective options for identifying this worldwide disease, as it is estimated that approximately 50 percent of the global population will suffer from myopia by 2050.

“AI is ushering in a revolution that leverages global knowledge to improves diagnosis accuracy, especially in its earliest stage of the disease,” said Dr. Yalin Wang, who is a professor in the School of Computing and Augmented Intelligence at Arizona State University and a co-author on the study. “These advancements will reduce medical costs and improve the quality of life for entire societies.”

For the study, the researchers used a novel AI algorithm known as NN-MobileNet to scan retinal images and classify the severity of myopic maculopathy, which currently has five levels of severity in the medical field. The team then used deep neural networks to determine what’s known as the spherical equivalent, which is how eye doctors prescribe glasses and contacts to their patients. Combining these two methods enabled researchers to create a new AI algorithm capable of identifying early signs of myopic maculopathy.

“The new funding will allow us to double down on our leadership in frontier AI research, increase compute capacity, and continue building tools that help people solve hard problems,” https://openai.com/index/scale-the-benefits-of-ai/” rel=“noopener”>OpenAI said in its announcement of the deal on Wednesday.

The funding comes as the nine-year-old AI startup led by CEO Sam Altman faces increasing competition from the likes of https://fortune.com/company/alphabet/”>Google, Meta, and other AI startups, and at a time when OpenAI is dealing with its own growing pains—most famously, a boardroom coup last year in which Altman was briefly fired and then reinstated in a span of five days.

Since then, the company has been roiled by a https://fortune.com/2024/09/26/mira-murati-exit-openai-altma…ors-coup/”>string of high-level departures as it seeks to https://fortune.com/2024/09/13/sam-altman-openai-non-profit-…ext-year/”>evolve from its roots as a nonprofit research lab to a producer of commercial products capitalizing on the industrywide AI gold rush. Last month, OpenAI chief technology officer Mira Murati unexpectedly resigned to “create the time and space to do my own exploration.” And as Fortune reported this week, some insiders have voiced concerns that the https://fortune.com/2024/10/01/openai-sam-altman-mira-murati…ent-year/”>company’s commitment to safety has taken a back seat in the rush to release new products ahead of rivals.

Lone Wolf rifle, with infrared and thermal vision, detects aerial threats using cutting-edge targeting tech.


Possibly equipped with an AR-15/M16-pattern rifle, the robot dog appears to be a Ghost Robotics Vision 60 quadrupedal-unmanned ground vehicle (Q-UGV).

The testing was conducted at Red Sands Integrated Experimentation Center in Saudi Arabia.

The Q-UGV engaged several static ground targets during the trials, but results of the tests weren’t revealed, according to reports.

With the recent release of the iPhone 16, which Apple has promised is optimized for artificial intelligence, it’s clear that AI is officially front of mind, once again, for the average consumer. Yet the technology still remains rather limited compared with the vast abilities the most forward-thinking AI technologists anticipate will be achievable in the near future.

As much excitement as there still is around the technology, many still fear the potentially negative consequences of integrating it so deeply into society. One common concern is that a sufficiently advanced AI could determine humanity to be a threat and turn against us all, a scenario imagined in many science fiction stories. However, according to a leading AI researcher, most people’s concerns can be alleviated by decentralizing and democratizing AI’s development.

On Episode 46 of The Agenda podcast, hosts Jonathan DeYoung and Ray Salmond separate fact from fiction by speaking with Ben Goertzel, the computer scientist and researcher who first popularized the term “artificial general intelligence,” or AGI. Goertzel currently serves as the CEO of SingularityNET and the ASI Alliance, where he leads the projects’ efforts to develop the world’s first AGI.