1. These Industrial Robots Get More Adept With Every Task

At the offices of startup Vicarious in Union City, where the San Francisco Bay Area’s sprawl abuts rolling hills, 10 robot arms tirelessly place travel-sized beauty products into bins on a conveyor belt. Each gray arm ends in a suction-cup-tipped finger that makes a high-pitched whine as it plucks items such as antiperspirant or hand lotion from crowded boxes.

Author: Tom Simonite

Read More On: Wired

2. Google Cloud launches new tools for deploying ML pipelines

Google  Cloud today announced the beta launch of Cloud AI Platform Pipelines, a new enterprise-grade service that is meant to give developers a single tool to deploy their machine learning pipelines, together with tools for monitoring and auditing them. “When you’re just prototyping a machine learning (ML) model in a notebook, it can seem fairly straightforward,” Google notes in today’s announcement. “But when you need to start paying attention to the other pieces required to make an ML workflow sustainable and scalable, things become more complex.”

Author: Frederic Lardinois

Read More On: TechCrunch

3. Microsoft researchers create AI ethics checklist with ML practitioners from a dozen tech companies

While speaking on a panel recently, Landing AI founder and Google Brain cofounder Andrew Ng described a moment when he read the OECD’s AI ethics principles to an engineer, and the engineer told him the words give no instruction on how he should change how he does his job. That’s why, Ng said, any code of conduct should be designed by and for ML practitioners.

Author: Khari Johnson

Read More On: VentureBeat

4. If AI’s So Smart, Why Can’t It Grasp Cause and Effect?

Here’s a troubling fact. A self-driving car hurtling along the highway and weaving through traffic has less understanding of what might cause an accident than a child who’s just learning to walk. A new experiment shows how difficult it is for even the best artificial intelligence systems to grasp rudimentary physics and cause and effect. It also offers a path for building AI systems that can learn why things happen.

Author: will knight

Read More On: Wired

5. AI is among our most effective tools in the fight against coronavirus

If not the most deadly, the novel coronavirus (COVID-19) is one of the most contagious diseases to have hit our green planet in the past decades. In little over three months since the virus was first spotted in mainland China, it has spread to more than 90 countries, infected more than 185,000 people, and taken more than 3,500 lives.

Author: Ben Dickson

Read More On: TechTalks

6. 3 important trends in AI/ML you might be missing

According to a Gartner survey, 48% of global CIOs will deploy AI by the end of 2020. However, despite all the optimism around AI and ML, I continue to be a little skeptical. In the near future, I don’t foresee any real inventions that will lead to seismic shifts in productivity and the standard of living. Businesses waiting for major disruption in the AI/ML landscape will miss the smaller developments.

Read More On: VentureBeat

7. Artificial intelligence is making artificial intelligence easier to build

Artificial intelligence and machine learning will automate many business and life tasks, from driving trucks to piloting ships to handling customer calls — and actually carrying on rudimentary chats with them. What’s not discussed often enough, however, is the actually impact on the jobs of AI creators and administrators themselves — developers, analysts, and data administrators and everyone else in the information technology orbit charged with building out these revolutionary systems.

Author: Joe McKendrick

Read More On: ZD Net

8. Google Cloud speech-to-text reaches 200 million more people with language upgrades

Google Cloud is extending its speech-to-text API to an additional 200 million people around the world today with support for Albanian, Burmese, Estonian, Macedonian, Mongolian, Punjabi, and Uzbek. Including today’s language upgrades, the API now supports more than 70 languages.

Author: Khari Johnson

Read More On: VentureBeat

9. Future Tech Trends: The 4 Technologies That Will Change Marketing Forever

We’re in the midst of transformative changes that are altering business and industries in very significant ways. Known as the Fourth Industrial Revolution or Industry 4.0, this revolution is responsible for a tremendous metamorphosis in the way our workplaces and the world works just as was experienced in the previous three revolutions. In the 1770s, the First Industrial Revolution ushered in mechanization.

Author: Bernard Marr

Read More On: Forbes

10. AI & Automotive — 8 Disruptive Use-Cases

Adriverless car running on roads may sound like a screen taken from a sci-fi movie. However, fiction is turning into reality, and we thank Artificial Intelligence (AI) for the same. AI technology complements the very concept of self-driving cars. Elon Musk had predicted in 2017 that all the cars will be autonomous in 10 years without any steering wheel. We are quite close to bringing this prediction into reality in just a short time frame of 4 years.

Read More On: Medium