Machine learning

Machine learning (17)

The Evolution of Telematics

Imagine you walk into your dispatch office and see that your vehicle has broken down, your driver is running out of available hours, and inclement weather is delaying your next job. As the fleet manager, you now have to decide how best to handle this perilous situation. You have relied on disparate data sources to get ahead of the problem, but still you struggle for insights that can drive good decisions. Enter: Telematics 2.0 – the evolution of telematics.


Bias is Everywhere - Can AI Help Identify and Reduce It?

 Bias is one of the biggest documented weaknesses of humans. This can be seen from implicit tests that show that we are not even aware of some of our biases. Although we may say that these biases are part of human nature, experiments have shown that they can affect our judgments and outcomes. Over the past few years, there has been an argument on whether human biases can be solved by artificial intelligence or whether these biases can make their way into AI systems and cause harm. This comes at a time when AI is being deployed by many companies across different industries. The industries need to be aware of the risks of biases ad how AI can be affected by it.


A Look At CraftAssist, Facebook’s Collaborative AI Assistant Bot For Minecraft

Minecraft is a popular sandbox multiplayer online building game. It starts with a generated world where terrain and features are created with building blocks. There are also generated characters called “mobs” that appear throughout the world. The two types of gameplay in Minecraft are survival mode and creative mode. In survival mode the player can be harmed and has limited resources. In creative mode the player does not have to worry about being harmed and has access to all resources. In creative mode the player’s imagination is the limit and there have been endless creative projects that have been carried out in the game including recreations of cities and landmarks among others. 


AI is Being Mutated to Get Faster

For decades, artificial intelligence has been seeking to mimic humans and nature. The main goal here is to create systems that have the ability to make decisions like humans. As such, most AI systems are brain-inspired, and scientists behind it have always attempted to mimic neural networks, a term borrowed from biology. With computers now able to think like humans, computer scientists are now focused on a different goal as they seek to revise artificial intelligence by transitioning it into smarter and more efficient systems. Initially, most of the research was devoted to training AI through machine learning to enable algorithms to learn how to recognize objects and how to perform basic tasks. Now that this has been achieved, these techniques are being deployed to create more advanced systems that can work autonomously without human intervention.


AI Still Needs Training To Understand Us

While artificial intelligence (AI) continues making headlines and breaking barriers that were thought to be impossible a decade ago, humans are now looking at it with both awe and fear. This is understandable because no one can allow their work to be taken away or to be replaced in places where they have for years looked for their daily bread. When people hear that companies are building AI-powered assistants to help in different tasks, they get afraid that AI is close to becoming independent of humans. The questions that they often ask are; Is AI close to matching human intelligence? Are we close to the fictional Skynet predicted in the Terminator? Is AI smart in its own and will it take positions long occupied by humans?


Science is Benefiting from AI Too

Artificial intelligence, machine learning, and big data are revolutionizing manufacturing, marketing and supply chain. The same is happening to scientific research where AI is proving to be a critical technology in scientific discovery. For instance, it is proving indispensable in predicting the outcomes of experiments, an example being quantum systems. Fully incorporated with fundamental laws of physics, AI can easily predict scientific simulations. Materials science, just like other experimental science branches such as drug discovery, leverage AI to model sophisticated experiments from data that is collected.


Can man and machine collaborate?

Despite the many exciting advancements in tech over the last half decade, a concerning narrative is emerging: that machines, rather than being our tools and friend, may come back to bite us. One need only watch an episode of ‘Black Mirror’ to see this moral panic — there is widespread, and not illegitimate, worry that progress will eventually lead to catastrophe.


AI May Make Better Decisions About Your Money than You Can

Would you allow a robot to manage your money? Well, while it may appear as fictional futuristic movie stuff, financial services providers are already doing it. Robots and artificially intelligent computers and systems are now helping in the management of your money and other financial services. According to Accenture, this trend will allow banks to boost their revenues and employment in the next five years. Similarly, AI apps that help people in their Personal Finance Management (PFM) are now available to help individuals in the management of their finances.


Competing with AI for jobs now?

I am not going to go into the long term future of AI because that would be highly speculative. I would rather focus on the short term future of AI, much of which is already taking place. For the purpose of this article I want to focus on AI-powered hyper-contextualization and how that impacts our realities. AI means that we can crunch insane amounts of data points together in order to map out and ultimately predict behavior. When it comes to content, this hyper-contextualization allows content to be curated according to personal taste. We already see this in social media for instance with curated feeds according to personal. political and religious preferences.


Use of AI in the Music Business

Music has and will always be an important part of society as long as human beings exist. However, as society changes in many aspects, music also evolves to meet its new needs and demands. For quite a while now, AI has been a buzzword in the technology space. It is increasingly becoming a talk of almost every industry primarily due to its ability to offer automation services, ease responsibilities and offer innovative workflows. The entry of this new technology into the music industry is important due for a few reasons. Although to some it may sound like cheap science fiction, it is true that we can have robots capable of creating songs, playing music and AI-enhanced robots writing song lyrics. Such practices are not new in the music industry.


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