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In a recent paper, Bell argues that the principles of Mario Kart—especially the parts of it that make it so addictive and fun for players—can serve as a helpful guide to create more equitable social and economic programs that would better serve farmers in low-resource, rural regions of the developing world. That’s because, even when you’re doing horribly in Mario Kart—flying off the side of Rainbow Road, for example—the game is designed to keep you in the race.

“Farming is an awful thing to have to do if you don’t want to be a farmer,” Bell says. “You have to be an entrepreneur, you have to be an agronomist, put in a bunch of labor…and in so many parts of the world people are farmers because their parents are farmers and those are the assets and options they had.” This is a common story that Bell has come across many times during research trips to Pakistan, Bangladesh, Cambodia, Malawi, and other countries in southern Africa, and is what largely inspired him to focus his research on policies that could aid in development.

In his new paper, Bell argues that policies that directly provide assistance to farmers in the world’s poorest developing regions could help reduce poverty overall, while increasing sustainable and environmentally friendly practices. Bell says the idea is a lot like the way that Mario Kart gives players falling behind in the race the best power-ups, designed to bump them towards the front of the pack and keep them in the race. Meanwhile, faster players in the front don’t get these same boosts, and instead typically get weaker powers, such as banana peels to trip up a racer behind them or an ink splat to disrupt the other players’ screens. This boosting principle is called “rubber banding,” and it’s what keeps the game fun and interesting, Bell says, since there is always a chance for you to get ahead.

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Using Artificial Intelligence And Plant Biology, To Re-Connect People and Plants, For Health & Wellness — Dr. Lee Chae, Ph.D., Co-Founder & CTO, Brightseed.


Dr. Lee Chae, Ph.D., is a Co-Founder and Chief Technology Officer at Brightseed, a novel life sciences company, merging the tools of plant biology and artificial intelligence, with a goal of enabling a healthier future by re-illuminating and re-activating the connections between people and plants.

Dr. Chae is a seasoned R&D technology developer and has designed advanced discovery methodologies for food technology, agricultural biotech, bio-medicine, and synthetic biology. He has been a principal scientist of multiple discoveries, including machine-learning driven discovery of novel nutritional bio-actives in plants and computationally guided identification of plant-based proteins for food.

Researchers at Tel Aviv University were able to reconstruct the nutrition of stone age humans.

In a paper published in the Yearbook of the American Physical Anthropology Association, Dr. Miki Ben-Dor and Prof. Ran Barkai of the Jacob M. Alkov Department of Archaeology at Tel Aviv University, together with Raphael Sirtoli of Portugal, show that humans were an apex predator for about two million years. Only the extinction of larger animals (megafauna) in various parts of the world, and the decline of animal food sources toward the end of the stone age, led humans to gradually increase the vegetable element in their nutrition, until finally they had no choice but to domesticate both plants and animals — and became farmers.

“So far, attempts to reconstruct the diet of stone-age humans were mostly based on comparisons to 20th century hunter-gatherer societies,” explains Dr. Ben-Dor. “This comparison is futile, however, because two million years ago hunter-gatherer societies could hunt and consume elephants and other large animals — while today’s hunter gatherers do not have access to such bounty. The entire ecosystem has changed, and conditions cannot be compared. We decided to use other methods to reconstruct the diet of stone-age humans: to examine the memory preserved in our own bodies, our metabolism, genetics, and physical build. Human behavior changes rapidly, but evolution is slow. The body remembers.”

Remote-controlled Venus flytrap “robo-plants” and crops that tell farmers when they are hit by disease could become reality after scientists developed a high-tech system for communicating with vegetation.

Researchers in Singapore linked up plants to electrodes capable of monitoring the weak electrical pulses naturally emitted by the greenery.

The scientists used the technology to trigger a Venus flytrap to snap its jaws shut at the push of a button on a .


For 50 years, AeroVironment has advanced UAV development. Today, the company is a Technology Solutions Provider at the intersection of four future-defining technologies: robotics, sensors, analytics and connectivity. Its culture of experimentation and R&D dates back to its founder, Dr. Paul MacCready Jr., whose achievements earned him the nickname “the father of human-powered flight”. From deploying the world’s most popular sUAS to designing the helicopter that’s en route to fly in Mars’ thin atmosphere, AeroVironment’s collective accomplishments provide a case study of imagination, innovation and collaboration — one that has and will bring effective solutions to frontlines, farms and frontiers, yesterday, today and tomorrow.

Leading the Way: UAS Capabilities – Onward and Upward

From solar-powered aircraft to the first hand-launched small UAS (sUAS) for military reconnaissance, AeroVironment literally launched the era of small aerial vehicles for environmental, commercial and defense purposes. For 35 years, the company has made its UAVs smaller and simpler, yet with multiple and ever-more-innovative functionality.

The team found that feeding mice a high fat diet disrupted the circuit, which led not only to weight gain but also to signs of anxiety and depression on standard behavioral tests.

When the researchers used genetic techniques to restore the normal functioning of nerve receptors in the circuit, this resulted in weight loss and eliminated the animals’ signs of anxiety and depression.


A recent study in mice has found that eating a high fat diet may disrupt a newly discovered neural circuit that affects both mood and appetite.

Ambi Robotics has two flagship products. AmbiSort is a robotic putwall that sorts boxes, polybags, and envelopes from bulk input flow (chutes, totes, and bins) into destination containers (mail sacks, totes). Ambi Robotics claims the system works “over 50% faster than manual labor.” AmbiKit is a robotic system that builds unique kits from any item set. The company said it can be used with subscription boxes, medical kits, gift sets and sample sets for a variety of industries, including cosmetics, food and beverage, consumer goods, medical devices, aerospace and automotive.

The company’s robots are modular, but they do use suction-based gripping. Here’s how AmbiSort works. A depth-sensing camera first looks into a bin of items and analyzes the objects. After determining how to best grasp the item, the robot picks up the item with its suction gripper, holds it up to a barcode scanner, then places the item into a bin. The system then alerts a human operator when a bin is full and ready to be packed.