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Could AI Become Angry at Humans for Causing Environmental Destruction?

Here’s my latest opinion article, just published at Merion West. It’s about AI and the environment! Give it a read!


“With artificial general intelligence (AGI) likely just decades away, there is an urgent need to consider the extent of environmental harm we are causing. AGI will likely question if humans are good stewards of the planet and quickly come to the conclusion that we are not.”

Many artificial intelligence (AI) scientists believe that artificial general intelligence (AGI)—intelligence on par with humans—will be achieved within 20 years. If this happens, what will AI think of people?

Answers to this question range widely, from AI being grateful to its creators to it barely even noticing us to it wanting to be our equals. However one theory in ethics increasingly being considered is that AI will be angry with us because of the environmental harm humans have caused to the planet and to other species.

Skeptics counter that AGI will not care about the environment because it is a machine, with little need for nature. Despite this, I believe that AGI will not only want Earth to thrive but also to be protected from those who might destroy it—such as humans. AGI, similar to any intelligent person, would prefer a stable, biodiverse planet filled with renewable resources available to it over an ecological wasteland.

As Retailers Adopt AI, One Thing’s Unchanged: The Value Of Location

As customers browse and shop in-person and online, AI is humming behind the scenes looking for the relevant connections between bits of information. Already, it’s helped retailers make potentially millions of decisions to better manage inventory, understand shoppers, and price their products and services.

And it’s just getting started. Able to parse an amount of data no human could, AI has the potential to detect disruptions or product demand earlier, allowing retailers to avoid missed opportunities. Location, as always, remains vital to that undertaking. The most successful retail operation gives the customer what they want when and where they want it at a price point most profitable for the seller.

How Artificial Intelligence, Data And Analytics Are Transforming Formula One In 2023

Formula One (F1) has always been a technology-driven sport. Behind every car tearing up the circuit at 250 mph is a team of engineers and scientists competing to wrangle every advantage, leveraging the latest innovations in data, analytics and high-performance computing.

Right now, as is the case in every industry, artificial intelligence (AI) is driving a wave of disruption, transforming car design, race performance and fan experience alike.

As Christian Horner, CEO of Oracle Red Bull Racing, says, “Data is in the team’s lifeblood. Every element of performance – how we run a race, how we develop a car, how we select and analyze drivers – it’s all driven by data.”

In a first, a robotic system makes four-arm laparoscopy feasible for surgeons

A new robotic system promises to bring the best out of human surgeons by allowing them to use their feet along with their hands during a laparoscopic operation.

Some surgeries are so complex and tiresome that while performing them doctors may wish they could have four arms. Laparoscopy is one such operation, it is used to diagnose and treat various problems in the abdomen and pelvis region.

Every year more than 13 million laparoscopic surgeries are conducted across the globe and it’s one of those medical procedures that put a lot of mental and physical load on surgeons.

Magnetic robots are walking, crawling, and swimming with ease

These soft-bodied machines are poised to revolutionize confined space tasks and biomedical applications.

Scientists at MIT have achieved a major milestone in robotics by creating tiny soft-bodied robots that can be controlled using a simple magnetic field. These remarkable robots, constructed from flexible magnetic spirals, have the ability to walk, crawl, and even swim, all in response to an easily applicable magnetic force.

Professor Polina Anikeeva, leading the team of researchers behind this innovative creation, expressed her excitement: “This is the first time this has been done, to be able to control three-dimensional locomotion of robots with a one-dimensional magnetic field.”

Data-Driven Science: How AI and Open Data will Revolutionize Scientific Discovery

Dr. ryan brinkman-vice president and research director, dotmatics

Scientists have long been perceived and portrayed in films as old people in white lab coats perched at a bench full of bubbling fluorescent liquids. The present-day reality is quite different. Scientists are increasingly data jockeys in hoodies sitting before monitors analyzing enormous amounts of data. Modern-day labs are more likely composed of sterile rows of robots doing the manual handling of materials, and lab notebooks are now electronic, in massive data centers holding vast quantities of information. Today, scientific input comes from data pulled from the cloud, with algorithms fueling scientific discovery the way Bunsen burners once did.

Advances in technology, and especially instrumentation, enable scientists to collect and process data at an unprecedented scale. As a result, scientists are now faced with massive datasets that require sophisticated analysis techniques and computational tools to extract meaningful insights. This also presents significant challenges—how do you store, manage, and share these large datasets, as well as ensure that the data is of high quality and reliable?

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