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Li and his colleagues found that the animals’ social ranking in the group was closely linked to the results of competition, and by examining recordings from neurons in the brains of mice in real time, the team discovered that neurons in the anterior cingulate region of the brain store this social ranking information to inform upcoming decisions.

“Collectively, these neurons held remarkably detailed representations of the group’s behavior and their dynamics as the animals competed together for food, in addition to information about the resources available and the outcome of their past interactions,” explains senior author Ziv M. Williams, MD, a neurosurgical oncologist at MGH. “Together, these neurons could even predict the animal’s own future success well before competition onset, meaning that they likely drove the animals’ competitive behavior based on whom they interacted with.”

Manipulating the activity of these neurons, on the other hand, could artificially increase or decrease an animal’s competitive effort and therefore control their ability to successfully compete against others. “In other words, we could tune up and down the animal’s competitive drive and do so selectively without affecting other aspects of their behavior such as simple speed or motivation,” says Williams.

American Robotics CEO Reese Mozer has no beef with drone deliveries, but he thinks all the hoopla surrounding aerial transport of burgers and burritos is drowning out news about farther-reaching UAV activities that are dramatically changing the way businesses operate. He tells DroneDJ about that transformative innovation, and how American Robotics’s (AR) leading role in the complete automation of critical drone services to industry is set to take wing.

Nevertheless, Mozer adds, that action manages to generate sufficient media and public excitement to divert attention from the more complex, vital, and – in total financial terms – valuable surveying and inspection services drone automation provides heavy industry, energy, railroad, and infrastructure operators. And that’s precisely the UAV sector activity he predicts will begin taking off and turning heads this year.

Your appliances, car and home are designed to make your life easier and automate tasks you perform daily: switch lights on and off when you enter and exit a room, remind you that your tomatoes are about to go bad, personalize the temperature of the house depending on the weather and preferences of each person in the household.

To do their magic, they need the internet to reach out for help and correlate data. Without internet access, your smart thermostat can collect data about you, but it doesn’t know what the weather forecast is, and it isn’t powerful enough to process all of the information to decide what to do.

But it’s not just the things in your home that are communicating over the internet. Workplaces, malls and cities are also becoming smarter, and the smart devices in those places have similar requirements. In fact, the Internet of Things (IoT) is already widely used in transport and logistics, agriculture and farming, and industry automation. There were around 22 billion internet-connected devices in use around the world in 2018, and the number is projected to grow to over 50 billion by 2030.

Officials and engineers at Kawasaki have unveiled Bex, a quadruped robot that can walk, roll around and even carry a human passenger on its back—at this year’s 2022 International Robot Exhibition in Tokyo. At the exhibition, Bex was configured to look like an Ibex, a type of wild goat, which is where it gets its name.

Bex was created as part of an effort at Kawasaki the company calls a “robust humanoid platform” with a project called Kaleido. Most such efforts from the project have involved robots that are halfway between human-like robots and wheeled bots. Bex appears to be an aberration—it is a quadruped with on its knees. The robot can walk around, similar in many respects to a quadruped from Boston Dynamics, though much slower. But it also squats down to its knees, locks its joints and fires up a motor that drives the robot around like a car. Bex can also carry cargo (up to 100 kilograms) such as crops or humans. At the , Bex was mounted by an and ridden in circles like a pony. The team at Kawasaki has also made the robot a little glitzier than many of its competitors—it has flashing lights that run up and down its neck and antlers.

Officials with Kawasaki noted at the show that the robot’s head can be replaced with other suitable alternatives such as a horse’s head or even nothing at all. They also noted that Bex has been engineered to move quickly in its wheeled configuration and that the walking configuration is to deal with uneven terrain. Also, the team put stability at the forefront. When the robot is rolling, all of its wheels are always on the ground, and when it is walking, its gait keeps at least two feet on the ground. This reduced computation requirements and made the robot safer to use around humans.

ANDERSON — For Sam Johnson, organic farming isn’t only a practical way of protecting the environment. It’s also a vital part of a healthy lifestyle.

“My main reason for doing it is just to get away from all these problems we’re having with herbicide and pesticide resistance,” Johnson said. “We’re just getting back to the natural ways our bodies process food.”

Organic farming is becoming undeniably more mainstream in the U.S. agriculture industry. According to an analysis of data in the USDA’s 2019 Survey of Organic Agriculture by Commodity.com, the number of organic farms in the U.S. rose by more than 50% in the last decade. The country’s estimated 16,500 organic farms now cover about 5.5 million acres, a 38% increase from 2008.

Quantum computers are getting bigger, but there are still few practical ways to take advantage of their extra computing power. To get over this hurdle, researchers are designing algorithms to ease the transition from classical to quantum computers. In a new study in Nature, researchers unveil an algorithm that reduces the statistical errors, or noise, produced by quantum bits, or qubits, in crunching chemistry equations.

Developed by Columbia chemistry professor David Reichman and postdoc Joonho Lee with researchers at Google Quantum AI, the uses up to 16 qubits on Sycamore, Google’s 53- , to calculate ground state energy, the lowest energy state of a molecule. “These are the largest quantum chemistry calculations that have ever been done on a real quantum device,” Reichman said.

The ability to accurately calculate ground state energy, will enable chemists to develop new materials, said Lee, who is also a visiting researcher at Google Quantum AI. The algorithm could be used to design materials to speed up for farming and hydrolysis for making , among other sustainability goals, he said.

And going forward, we’ll do this with far more knowledge of what we’re doing, and more control over the genes of our progeny. We can already screen ourselves and embryos for genetic diseases. We could potentially choose embryos for desirable genes, as we do with crops. Direct editing of the DNA of a human embryo has been proven to be possible — but seems morally abhorrent, effectively turning children into subjects of medical experimentation. And yet, if such technologies were proven safe, I could imagine a future where you’d be a bad parent not to give your children the best genes possible.

Computers also provide an entirely new selective pressure. As more and more matches are made on smartphones, we are delegating decisions about what the next generation looks like to computer algorithms, who recommend our potential matches. Digital code now helps choose what genetic code passed on to future generations, just like it shapes what you stream or buy online. This might sound like dark science fiction, but it’s already happening. Our genes are being curated by computer, just like our playlists. It’s hard to know where this leads, but I wonder if it’s entirely wise to turn over the future of our species to iPhones, the internet and the companies behind them.

Discussions of human evolution are usually backward looking, as if the greatest triumphs and challenges were in the distant past. But as technology and culture enter a period of accelerating change, our genes will too. Arguably, the most interesting parts of evolution aren’t life’s origins, dinosaurs, or Neanderthals, but what’s happening right now, our present – and our future.