Dear Cognitive RoundUp Readers,

Every week SwissCognitive - The Global AI Hub - selects 9 articles from the Artificial Intelligence Universe to share with our community.

Among some other topics, this week’s articles focus on how Machine Learning, IoT, and with that, Artificial Intelligence can help the world's poorest, how we can build AI that we can rely on, and in the era of AI what lessons we can learn from the dinosaurs. 

We wish you happy reading and a great Sunday!

Warm regards,

The SwissCognitive Team

How machine learning and IoT can help the world’s poorest people

How machine learning and IoT can help the world’s poorest people

verdict.co.uk

“We’re using IoT and ML to optimise water spend, placement of pesticides, dealing with weeds and other pests, so food production costs are dropping. These are the things that proportionally impact the poorest people in the world.”

Reaching AI’s full potential in the enterprise

Reaching AI’s full potential in the enterprise

www2.deloitte.com

As AI technologies standardize across industries, becoming an AI-fueled organization will likely be table stakes for survival. That means rethinking the way humans and machines interact.

Machines make mistakes—how can we trust AI to fly and drive?

Machines make mistakes—how can we trust AI to fly and drive?

newsweek.com

Recent air travel accidents raise critical two questions: when should we trust fully-automated computer systems with autonomous decision making and how do we allow humans to gain control if things go wrong?

The Right Artificial Intelligence Approach

The Right Artificial Intelligence Approach

ciol.com

Applying AI has shown to result in tremendous business growth. But without the right artificial intelligence approach, it won’t be possible to achieve the success we aim for. How does one get their AI approach right and how do we efficiently build an AI use case?

AI Needs Better Data, Not Just More Data

AI Needs Better Data, Not Just More Data

datainnovation.org

AI has a data quality problem. In a survey of 179 data scientists, over half identified addressing issues related to data quality as the biggest bottleneck in successful AI projects.

In an AI era, lessons from dinosaurs help us adapt to the future of work

In an AI era, lessons from dinosaurs help us adapt to the future of work

theconversation.com

The ancestors of modern birds were the sole survivors of one of the most severe mass extinction events in the history of the world. In the fourth industrial revolution era, enterprises and human workers are also at risks. Being proactive and being able to adapt are going to be key for survival.

To Be Ethical, AI Must Become Explainable. How Do We Get There?

To Be Ethical, AI Must Become Explainable. How Do We Get There?

swisscognitive.ch

Even if we humans aren’t always good at explaining our choices, at least we can try to explain them somehow. A deep learning system can’t do this yet, and therefore, identifying which input data the systems are triggering on to make decisions is the direction we need to head.

Model learns how individual amino acids determine protein function

Model learns how individual amino acids determine protein function

news.mit.edu

A new model developed by researchers creates richer, more easily computable representations of how individual amino acids determine a protein’s function, which could improve machine-learning tasks in protein design, drug testing, and other applications.

Relevance of Blockchain for Democratizing Artificial Intelligence

Relevance of Blockchain for Democratizing Artificial Intelligence

news.ibinex.com

The most important contribution of blockchain technology in AI is to make data available to all the stakeholders without any kind of centralized and corporate control. This means all the benefits and advantages of AI can be shared democratically.