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Think about it. Your brain is always “on.” It takes care of your thoughts and movements, your breathing and heartbeat, your senses — it works hard 24/7, even while you’re asleep. This means your brain requires a constant supply of fuel. That “fuel” comes from the foods you eat — and what’s in that fuel makes all the difference. Put simply, what you eat directly affects the structure and function of your brain and, ultimately, your mood.

Like an expensive car, your brain functions best when it gets only premium fuel. Eating high-quality foods that contain lots of vitamins, minerals, and antioxidants nourishes the brain and protects it from oxidative stress — the “waste” (free radicals) produced when the body uses oxygen, which can damage cells.

Unfortunately, just like an expensive car, your brain can be damaged if you ingest anything other than premium fuel. If substances from “low-premium” fuel (such as what you get from processed or refined foods) get to the brain, it has little ability to get rid of them. Diets high in refined sugars, for example, are harmful to the brain. In addition to worsening your body’s regulation of insulin, they also promote inflammation and oxidative stress. Multiple studies have found a correlation between a diet high in refined sugars and impaired brain function — and even a worsening of symptoms of mood disorders, such as depression.

This could be happening to me.


An international research team led by Nanyang Technological University, Singapore (NTU Singapore) has found that microorganisms living in the gut may alter the aging process, which could lead to the development of food-based treatment to slow it down.

All , including human beings, coexist with a myriad of microbial species living in and on them, and research conducted over the last 20 years has established their important role in nutrition, physiology, metabolism and behavior.

Using , the team led by Professor Sven Pettersson from the NTU Lee Kong Chian School of Medicine, transplanted gut microbes from (24 months old) into young, germ-free mice (six weeks old). After eight weeks, the had increased intestinal growth and production of neurons in the brain, known as neurogenesis.

When an undiagnosed rare genetic disease caused his young son’s kidneys to fail, Professor Chris Toumazou vowed to find a way of uncovering hidden health risks.

The professor of biomedical engineering realised that, although his son’s condition could not have been prevented, the family could have managed his lifestyle very differently had they known about his condition.

So, he embarked on a mission to help people change their lifestyles and avoid getting sick.

Reinforcement learning (RL) is a widely used machine-learning technique that entails training AI agents or robots using a system of reward and punishment. So far, researchers in the field of robotics have primarily applied RL techniques in tasks that are completed over relatively short periods of time, such as moving forward or grasping objects.

A team of researchers at Google and Berkeley AI Research has recently developed a new approach that combines RL with learning by imitation, a process called relay policy learning. This approach, introduced in a paper prepublished on arXiv and presented at the Conference on Robot Learning (CoRL) 2019 in Osaka, can be used to train artificial agents to tackle multi-stage and long-horizon tasks, such as object manipulation tasks that span over longer periods of time.

“Our research originated from many, mostly unsuccessful, experiments with very long tasks using (RL),” Abhishek Gupta, one of the researchers who carried out the study, told TechXplore. “Today, RL in robotics is mostly applied in tasks that can be accomplished in a short span of time, such as grasping, pushing objects, walking forward, etc. While these applications have a lot value, our goal was to apply reinforcement learning to tasks that require multiple sub-objectives and operate on much longer timescales, such as setting a table or cleaning a kitchen.”

Scientists at Harvard have created a texture in meat grown in a lab close to the actual animal meat we’re used to. Would you eat it?
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Human meat consumption is bad for the planet—livestock raised for food makes up for approximately 14–18% of our greenhouse gas emissions, and the land requirements to grow their food is responsible for nearly 80% of all deforestation in the Amazon.

80%!

So scientists have been working to create a realistic imitation for animal meat in a lab, and with a recent breakthrough researchers from Harvard have come one step closer to making lab-grown meat taste and feel like the real deal.

How?

Gelatin.

Caterpillar has been synonymous with big, heavy equipment — for farming, construction and mining — since Holt Manufacturing and C. L. Best Tractor merged in 1925 to form the Peoria, Illinois-based company. Over the years, tons of innovation have been built into the iconic yellow products, too, from the Model 20 Track-Type Tractor introduced in 1927 to the ginormous engines that helped power the Apollo 11 mission to the moon 50 years ago.

Coincidentally, one of Cat’s latest breakthroughs is self-driving, or autonomous, and remote-controlled mining equipment, which could very well find itself on the moon when NASA is scheduled to return to the lunar surface in 2024, with plans to build a permanent base near the orb’s south pole, part of the Artemis program.

Just as on terrestrial sites, Caterpillar fully or semi-autonomous bulldozers, graders, loaders and dump trucks could be utilized to build roads, housing and other infrastructure. Operator-less drilling and digging machines might mine water, oxygen-rich rocks and moon dust for use in 3D printing of various materials.

In the kale-filled facility at vertical farm startup Bowery Farming, it’s a piece of proprietary software that makes most of the critical decisions — like when to harvest and how much to water each plant. But it still takes humans to carry out many tasks around the farm. Katie Morich, 25, loves the work. But as roboticists make gains, will her employer need her forever? This is the fourth episode of Next Jobs, a series about careers of the future hosted by Bloomberg Technology’s Aki Ito.

Host, Producer: Aki Ito
Camera: Alan Jeffries, Brian Schildhorn
Co-Producer: David Nicholson
Editor: Victoria Daniell
Writers: Aki Ito and Victoria Daniell.