From preventing blindness to helping children read to forecasting floods, AI has come a long way from the specialised labs where it emerged, here’s how it is reshaping lives in India.
Category: food – Page 135
At a massive vertical farm in Denmark, food tech startup Nordic Harvest is demonstrating the benefits of moving agriculture indoors.
Cambridge scientists have identified a key signal that the fetus uses to control its supply of nutrients from the placenta, revealing a tug-of-war between genes inherited from the father and from the mother. The study, carried out in mice, could help explain why some babies grow poorly in the womb.
As the fetus grows, it needs to communicate its increasing needs for food to the mother. It receives its nourishment via blood vessels in the placenta, a specialized organ that contains cells from both baby and mother.
Between 10% and 15% of babies grow poorly in the womb, often showing reduced growth of blood vessels in the placenta. In humans, these blood vessels expand dramatically between mid and late gestation, reaching a total length of approximately 320 kilometers at term.
Lawns are becoming less and less popular these days. Besides being high-maintenance, they are terrible for the environment. The mono-crop grasses require lots of watering, fertilizing and “herbiciding.” With mounting water shortages around the world, should we really be dumping clean water on non-edible grass?
Naturally, people are looking for alternatives. Some are planting edible gardens, some are planting prairie grasses and flowers for pollinators, and some are planting eco-friendly clover lawns, for a look and feel more similar to a regular lawn.
And now we’ve found another alternative — creeping red thyme. Like clover, the fast-growing cover crop can take over your whole lawn like a carpet.
The reconfigurable hybrid robotic gripper can pick and place a wide range of delicate food items.
Engineers from National University of Singapore (NUS) have built a robotics system they say can grip various objects, ranging from soft and delicate to bulky and heavy. Designed to be configurable, the robotic hand is touted to address the needs of sectors such as vertical farming, food assembly, and fast-moving consumer goods packaging, and with a 23% improvement in efficiency.
These industries increasingly were automating more of their operations, but currently required manual handling for some processes, according to NUS. The human hand’s natural dexterity remained necessary for these tasks.
Rave Yeow, associate professor from NUS Advanced Robotics Centre and Department of Biomedical Engineering, said: “An object’s shape, texture, weight, and size affect how we choose to grip them. This is one of the main reasons why many industries still heavily rely on human labour to package and handle delicate items.”
Cambridge scientists have identified a key signal that the fetus uses to control its supply of nutrients from the placenta, revealing a tug-of-war between genes inherited from the father and from the mother. The study, carried out in mice, could help explain why some babies grow poorly in the womb.
As the fetus grows, it needs to communicate its increasing needs for food to the mother. It receives its nourishment via blood vessels in the placenta, a specialised organ that contains cells from both baby and mother.
Between 10% and 15% of babies grow poorly in the womb, often showing reduced growth of blood vessels in the placenta. In humans, these blood vessels expand dramatically between mid and late gestation, reaching a total length of approximately 320 kilometres at term.
With hundreds of times more food per acre than regular farms.
Vertical farming is a revolutionary form of agriculture. As its name suggests, it’s a form of agriculture that is specifically designed to facilitate agricultural production inside vertical structures. These farms can be created inside old warehouses, used shipping containers, greenhouses, or other buildings, saving space and energy.
As a more sustainable method of farming, vertical farming tends to require much less energy than regular farming which is estimated to be 95% less water since the used water in farming can be recycled and reused.
Officials with the Danish energy company Ørsted have announced that they have achieved first power on the Hornsea 2 project—a new windfarm off the coast of England in the North Sea. As part of their announcement, posted on the company’s web page, officials noted that once the windfarm is fully operational, it will represent the largest windfarm in the world.
Hornsea 2, as its name implies, is the second segment of a four-segment project. Hornsea 1 became operational last year and is currently the largest offshore windfarm —with its 174 turbines, the farm has a capacity of 1.2-GW—enough to power over a million homes in the U.K.
Hornsea 2 was approved for construction back in 2016—it will feature 165 8-MW turbines made by Siemens, which will give it a capacity of 1.32 GW. The offshore substation and reactive stations have been installed and tested while construction continues on the turbines. The windfarm will be located approximately 90 kilometers off the coast of Grims, England, which is not far from Leeds and Sheffield. Once the windfarm is fully operational, it will deliver power to a substation at Killingholme. The project will involve stringing cable under 390 kilometers of ocean water and then 40 kilometers of land before reaching the substation. Hornsea 2 will also be breaking another record—it will be located farther away from shore than any other large-scale windfarm.
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Probabilistic modelling
Four major steps are entailed in generating successful probabilistic modelling through the Bean Machine. The modelling is based on generative techniques, the data collected from Python dictionaries where it is associated with random variables. The learning step improves the model’s knowledge based on observations, and the results are stored for further analysis.
Through probabilistic modelling, engineers and data scientists can account for random events in future predictions while measuring different uncertainties. This method is preferred because it offers uncertainty estimation, expressivity, and interpretability facilities. Let’s discuss these.