1. Artificial intelligence is evolving all by itself

Artificial intelligence (AI) is evolving—literally. Researchers have created software that borrows concepts from Darwinian evolution, including “survival of the fittest,” to build AI programs that improve generation after generation without human input. The program replicated decades of AI research in a matter of days, and its designers think that one day, it could discover new approaches to AI.

Author: Edd Gent

Read More On: Science

2. The 10 Best Free Online Artificial Intelligence And Machine Learning Courses For 2020

The demand for people with knowledge and skills in artificial intelligence (AI) and machine learning (ML) hugely outstrips the supply. This means that learning and gaining qualifications in these subjects can be a great way to enhance your career prospects. However, not everyone has the spare time and money to spend years studying for a degree or other formal qualifications.

Author: Bernard Marr

Read More On: Forbes

3. How A.I. is aiding the coronavirus fight

On the last day of 2019, an artificial intelligence warning system run by Toronto startup BlueDot flagged a news report from China about a mysterious pneumonia strain in the city of Wuhan. The system, which sifts through 100,000 articles and online posts daily in 65 languages, alerted BlueDot’s human employees, who immediately saw parallels to the deadly SARS outbreak in 2003.

Author: Aaron Pressman

Read More On: Fortune

4. Don’t expect AI to solve the coronavirus crisis on its own

Scientists are exploring every possible option for help battling the coronavirus pandemic, and artificial intelligence represents an intriguing avenue. AI has been used to search for new molecules capable of treating Covid-19, to scan through lung CTs for signs of Covid-related pneumonia, and to aid the epidemiologists who tracked the disease’s spread early on.

Author:

Read More On: Vox

5. A Radical Solution to Scale AI Technology

Most C-suite executives know they need to integrate AI capabilities to stay competitive, but too many of them fail to move beyond the proof of concept stage. They get stuck focusing on the wrong details or building a model to prove a point rather than solve a problem. That’s concerning because, according to our research, three out of four executives believe that if they don’t scale AI in the next five years, they risk going out of business entirely.

Author: Fernando Lucini

Read More On: Harvard Business Review

6. AI Applications Are All Set To Combat COVID-19

Coronavirus(COVID-19)

As novel COVID-19 cases continue to rise at an alarming rate, predictions also paint a gloomy picture of the next months to come.Researchers worldwide are also going the extra mile to understand, mitigate, and restrain this deadly spread. In this blog, we have published about how AI applications are helping to manage global response; and we have mainly focused on three areas: individual patient diagnosis and treatment, protein and drug discovery, and the social-economic impact of coronavirus.

Read More On: Automeme

7. Big Data Could Undermine the Covid-19 Response

The coronavirus pandemic has spurred interest in big data to track the spread of the fast-moving pathogen and to plan disease prevention efforts. But the urgent need to contain the outbreak shouldn’t cloud thinking about big data’s potential to do more harm than good.

Author: Amos Toh

Read More On: Wired

8. One nasty side effect of coronavirus: Robots will take our jobs at an even faster rate

American workers are locked into their homes, avoiding contact with anyone and everything touched by others. Social contacts and supply chains are disrupted by coronavirus and the COVID-19 illness it causes. In the workplace, there is a solution that addresses both problems simultaneously: new colleagues immune to pandemics and ready to replace American workers.

Read More On: Market Watch

9. Assessing Coronavirus’s Impact on Your Business Model

When a crisis like the coronavirus pandemic hits an organization, its executives need to assess the impact on their business model, both immediately and over the long term. A framework we’ve developed over a decade of teaching can help executives identify the business-model risks and opportunities that the crisis presents.

Author: Thomas Ritter

Read More On: Harvard Business Review

10. OpenAI launches Microscope to visualize the neurons in popular machine learning models

OpenAI today launched Microscope, a library of neuron visualizations starting with nine popular or heavily neural networks. In all, the collection encompasses millions of images. Like a microscope can do in a laboratory, Microscope is made to help AI researchers better understand the architecture and behavior of neural networks with tens of thousands of neurons.

Author: Khari Johnson

Read More On: VentureBeat