Chemicals


Artificial intelligence helps farmers spot diseased corn and soybean faster.

#artificialintelligence

If farmers want to know how healthy crops are, perhaps they shouldn't trust their eyes. Matt Free -- a manager at Evergreen FS, an agriculture company -- learned that lesson this year. His team provides crop protection services such as fertilizers and herbicides to farmers across Illinois. After a year-long test of a variety of new technologies, Evergreen FS found artificial intelligence could identify trouble, such as fungus growth and water shortages, in corn and soybean crops weeks before the naked eye would ever realize it. The tech, which comes from startup Ceres Imaging, offers farmers an AI analysis of photos taken from planes flying several thousand feet above fields.


Farmers spot diseased crops faster with artificial intelligence

#artificialintelligence

If farmers want to know how healthy crops are, perhaps they shouldn't trust their eyes. Matt Free -- a manager at Evergreen FS, an agriculture company -- learned that lesson this year. His team provides crop protection services such as fertilizers and herbicides to farmers across Illinois. After a year-long test of a variety of new technologies, Evergreen FS found artificial intelligence could identify trouble, such as fungus growth and water shortages, in corn and soybean crops weeks before the naked eye would ever realize it. The tech, which comes from startup Ceres Imaging, offers farmers an AI analysis of photos taken from planes flying several thousand feet above fields.


How can investors use machine learning to pick the right startups?

#artificialintelligence

When considering a startup, especially an early-stage startup, investors want to conduct as much due diligence as possible. What little data they can gather is scattered all over different sources including Crunchbase, LinkedIn, Pitchbooks, company websites, etc. Consolidating this data takes a great amount of time and effort. Furthermore, the data sets can be incomplete or biased depending on the search queries -- imagine overlooking a keyword. To make the due diligence process fairer and less cumbersome for investors, various platforms are using machine learning (ML) to pull together information about startups from all available resources to help investors assess companies and investment opportunities. But where machine learning really shines is in the interplay of data-driven insights that are qualified by human intuition and personal experience.


Machine Learning – the new catalyst in higher education

#artificialintelligence

Did you ever use spell check in google? If you have then you used a machine learning algorithm. There are countless instances in an average person's day where he/she uses machine Learning. It has become a vital component in modern men's life. Driver less cars, Rovers in Mars, Weather predictions, Market share predictions, Speech Processing, Internet of things, Healthcare well these are just the tip of the iceberg.


IoT, AI and Blockchain: Catalysts for Digital Transformation

#artificialintelligence

The digital revolution has brought with it a new way of thinking about manufacturing and operations. Emerging challenges associated with logistics and energy costs are influencing global production and associated distribution decisions. Significant advances in technology, including big data analytics, AI, Internet of Things, robotics and additive manufacturing, are shifting the capabilities and value proposition of global manufacturing. In response, manufacturing and operations require a digital renovation: the value chain must be redesigned and retooled and the workforce retrained. Total delivered cost must be analyzed to determine the best places to locate sources of supply, manufacturing and assembly operations around the world.


catalyst.ai

#artificialintelligence

Health Catalyst believes machine learning is the life-saving technology that will transform healthcare. Machine learning challenges the traditional, reactive approach to healthcare. In fact, it's the exact opposite: predictive, proactive, and preventative--life-saving qualities that make it a critically essential capability in every health system. Health Catalyst is on a mission to help health systems save lives by making machine learning routine, actionable, and pervasive through catalyst.ai Some may ask whether machine learning is just a technology fad or whether it will provide true value in healthcare.


Russia unveils SKYF heavy lift drones

Daily Mail

A new drone designed by Russian researchers is the hulk of the quadcopter world - and can carry a 400-pound (181-kg) payload and fly for up to eight hours. The multi-rotor, autonomous drone, called SKYF, was designed with logistics and agribusinesses companies in mind to create a air freight platform to help business carry out tasks. The vertical take-off and landing drone has applications in areas such as the aerial application of pesticides and fertilizers, seed planting for forest restoration and emergency situations for food and medicine delivery. The drone, designed by Russian company ARDN technology, has a maximum flight speed of 70 kilometers per hour (43.5 miles per hour) at a maximum height of 3,000 meters (9,843 feet) and has a positional accuracy of 30 centimeters (11.8 inches) The drone, designed by Russian company ARDN technology, has a maximum flight speed of 70 kilometers per hour (43.5 miles per hour) and is 5.2 meters (17 feet) by 2.2 meters (7.2 feet). It can fly at a maximum height of 3,000 meters (9,843 feet) and has a positional accuracy of 30 centimeters (11.8 inches).


Tech-savvy Chinese farmers use drones to spray pesticide

Daily Mail

Farmers in China have caught up with the country's booming drone trend and started using unmanned aircraft to spray pesticide onto the fields. Not only that, a team of villagers in central China recently bought 30 of these bug-zapping vehicles in hope of turning it into a new business. Zhu Xiwang and his neighbours said they hoped their squad of agri-drones to could help them start a pest-killing service, according to Huanqiu.com, an affiliation to People's Daily Online. This £24.8K flat pack folding home takes just SIX HOURS to build Pictures show the 30 drones lining up on a field, ready to take off. The unmanned aircraft, known by its model name MG-1S, is produced by Shenzhen-based Da Jiang Innovation, one of the largest drone manufacturers in China.


Artificial Intelligence: A Catalyst for a Better World…with Great Music

#artificialintelligence

Do you believe that artificial intelligence is poised to significantly improve our societies, or do you imagine extreme dangers resulting from this technology in the future? Tech moguls Elon Musk and Mark Zuckerberg have been publicly debating this issue recently, with Musk claiming that Zuckerberg's knowledge about AI is "limited". The Tesla CEO and outspoken innovator has been pushing for the proactive regulation of artificial intelligence based on his belief that the technology is a "fundamental existential risk for human civilization." On the other side, Zuckerberg has denounced Musk's warnings, calling his statements "pretty irresponsible." While many academics, such as Pedro Domingos, a professor who works on machine learning at the University of Michigan, believe that Musk's nightmare scenarios could eventually happen, but his perspective is entirely wrong.


O.K., Computer, Tell Me What This Smells Like

@machinelearnbot

Our sense of smell is gloriously specific. The mellow aroma of butter and flour rising from warm pie crust, the synthetic bite of fresh paint, the familiar odor of a new car--when we get a whiff of something, we know immediately what it is. But this natural delicacy of perception far exceeds our ability to tell how a given molecule, drawn on a blackboard and considered as an abstraction, will strike our noses. Two substances with completely different chemical shapes might smell almost identical, while two others with similar shapes might smell nothing alike. That's in direct contrast to, say, color vision; by examining the wavelengths of light bouncing off a rose or a child's hat, a scientist can say that a human will see them as red or blue (unless the human happens to be color-blind--though, even then, the shade is predictable).