harvest


The state of AI in 2018

#artificialintelligence

Artificial intelligence is already firmly rooted in our lives, and rarely does a month pass by without significant breakthroughs making the news. But amidst all the hype, it can be difficult to get a bird's-eye view of just how far AI has come, the hurdles it faces and the direction in which it's headed. In a bid to paint as precise a portrait of the AI sector as possible, The Minutes team scribbled down every noteworthy bit of information mentioned during the AI Forum 2018, a C2 Montréal track dedicated to artificial intelligence and created in partnership with Element AI. Here are the key insights they gathered. "Montreal and the Canadian AI ecosystems are winning the early innings of the AI game," says Jean-Nicolas Delage, a partner at Fasken's Intellectual Property Group.


'Fortnite: Battle Royale' -- Where To Search For Chests In Loot Lake

Forbes Technology

Searching chests in Loot Lake is one of Fortnite's Season 4, Week 6 challenges. Searching for 7 treasure chests in Loot Lake is one of the Season 4, Week 6 challenges in Fortnite: Battle Royale. Given that this is Loot Lake, a body of water practically overflowing with loot, searching for chests shouldn't prove too problematic. One issue with this area of the map, however, is exposure. Getting to some of these chests means leaving yourself exposed to enemy fire from all directions.


Six amazing artificial intelligence advances in agriculture

#artificialintelligence

When we think about agriculture, we tend to think about subsistence farming. Although many people may think that the agricultural community is behind the curve when it comes to implementing new technologies, there is lots of evidence that farmers are actually moving quite quickly to modernise almost everything about the farming process. According to Techopedia, these farmers are using artificial intelligence in new and amazing ways to bring the process of food cultivation into the future. High-tech agriculture starts at the very second that the seed is first placed in the ground. Experts in the field are familiar with variable rate planting equipment that does more than just planting a seed down into the dirt somewhere.


How artificial intelligence will take over the supermarket produce aisles

#artificialintelligence

Artificial intelligence is about more than asking Alexa or Siri to turn on the lights at home and add a reminder to the calendar about getting some milk at the store later in the afternoon. The true power of AI and machine learning is how it can democratize expertise, lowering the barriers to entry for tasks that once could only be performed by a small group of specialists. The result, one day, will be that your self-driving car drops you off at the supermarket, where you will find higher-quality foods available at prices lower than they've ever been. It will happen through the use of machine learning algorithms that absorb a large volume of data, recognize patterns and apply statistical probabilities to choose the course of action most likely to result in a successful outcome. For example, Google's famous self-driving car used machine learning to catalog a number of interesting behaviors on the road.


The 6 Most Amazing AI Advances in Agriculture

#artificialintelligence

When we think about agriculture, we tend to think about old-school farming. But although many of us might think that the agricultural community is behind the curve when it comes to implementing new technologies, there is lots of evidence that farmers are actually moving quite quickly to modernize almost everything about the farming process – they're using artificial intelligence in new and amazing ways to bring the process of food cultivation into the future. High-tech agriculture starts at the very second that the seed is first placed in the ground. Experts in the field are familiar with "variable rate planting equipment" that does more than just planting a seed down into the dirt somewhere. As you'll see later in this article, all sorts of artificial intelligence work is being done behind the scenes on predictions – where a seed will grow best, what soil conditions are likely to be, etc.


Six amazing artificial intelligence advances in agriculture

#artificialintelligence

When we think about agriculture, we tend to think about subsistence farming. Although many people may think that the agricultural community is behind the curve when it comes to implementing new technologies, there is lots of evidence that farmers are actually moving quite quickly to modernise almost everything about the farming process. According to Techopedia, these farmers are using artificial intelligence in new and amazing ways to bring the process of food cultivation into the future. High-tech agriculture starts at the very second that the seed is first placed in the ground. Experts in the field are familiar with variable rate planting equipment that does more than just planting a seed down into the dirt somewhere.


Exclusive: Alphabet X is exploring new ways to use AI in food production

MIT Technology Review

Alphabet's X, the secretive lab charged with finding radical "moonshot" solutions to some of the world's biggest problems, is exploring ways in which AI could dramatically improve food production. Astro Teller, the head of X, revealed the plan at MIT Technology Review's annual EmTech Digital event in San Francisco. Teller declined to give specific examples, saying X's team hadn't yet zeroed in on particular approaches, but he hinted that it was looking at how machine learning could be combined with advances in areas like drones and robotics to advance farming practices. To be worthy of X's attention, a project must fulfill three criteria: it has to potentially solve a problem that affects millions or billions of people; it has to involve an audacious, sci-fi-sounding technology; and there has to be at least a glimmer of hope it's achievable within five to 10 years. AI-driven agriculture seems a perfect fit.


Robots could replace human crop pickers in the UK ZDNet

#artificialintelligence

Robots may one day replace human crop pickers in the UK in light of a decline in the seasonal labor market. GummiArm, a soft robot capable of crop picking, is the brainchild of researchers from the University of Plymouth. Academics from the institution and producers from Cornwall have worked together to create robots which could work alongside existing employees in the crop picking industry through the Automated Brassica harvest in Cornwall (ABC) project. The aim of the project is to develop "cutting-edge technology to help with the cauliflower harvest and potentially other fieldwork operations." The GummiArm was born from this need, especially in light of labor market fluctuations following the decision on Brexit.



Testing for Feature Relevance: The HARVEST Algorithm

arXiv.org Machine Learning

Feature selection with high-dimensional data and a very small proportion of relevant features poses a severe challenge to standard statistical methods. We have developed a new approach (HARVEST) that is straightforward to apply, albeit somewhat computer-intensive. This algorithm can be used to pre-screen a large number of features to identify those that are potentially useful. The basic idea is to evaluate each feature in the context of many random subsets of other features. HARVEST is predicated on the assumption that an irrelevant feature can add no real predictive value, regardless of which other features are included in the subset. Motivated by this idea, we have derived a simple statistical test for feature relevance. Empirical analyses and simulations produced so far indicate that the HARVEST algorithm is highly effective in predictive analytics, both in science and business.