1. Scientists Have Built The First-Ever Robots Constructed Entirely Out of Living Cells

In another lifetime, if they had been allowed to follow their natural development, the stem cells taken from embryonic frogs would have turned into skin and heart tissue within living, breathing animals. Instead, in configurations designed by algorithms and constructed by humans, those cells have been assembled into something new: the first-ever robots constructed entirely out of living cells.

Read More on: Science Alert

2. Researchers: Are we on the cusp of an ‘AI winter’?

The last decade was a big one for artificial intelligence but researchers in the field believe that the industry is about to enter a new phase. Hype surrounding AI has peaked and troughed over the years as the abilities of the technology get overestimated and then re-evaluated. The peaks are known as AI summers, and the troughs AI winters.

Author: Sam Shead

Read More On: BBC News

3. Amazon’s AutoGluon produces AI models with as little as 3 lines of code

Building machine learning applications involving images, text, and tabular data sets isn’t easy. It requires feature engineering, or the use of domain knowledge of data to create the features that make AI algorithms work, plus plenty in the way of data set preprocessing to ensure biases don’t emerged in trained models.

Author: Kyle Wiggers

Read More On: VentureBeat

4. Artificial Intelligence Makes Bad Medicine Even Worse

Google researchers made headlines early this month for a study that claimed their artificial intelligence system could outperform human experts at finding breast cancers on mammograms. It sounded like a big win, and yet another example of how AI will soon transform health care: More cancers found! Fewer false positives! A better, cheaper way to provide high-quality medical care!

Author: Christie Aschwanden

Read More On: Wired

5. Why do we gender AI? Voice tech firms move to be more inclusive

Technology that can understand regional accents and gender-neutral voice assistants are among the developments expected in the voice technology field in 2020. Products such as Alexa and Siri have faced mounting criticism that the technology behind them disproportionately misunderstands women, ethnic minorities and those with accents not represented in datasets that have historically favoured white and Chinese male voices.

Author: Kieran Yates

Read More On: The Guardian

6. Roomba’s robot vacuum could grow arms in the near future

iRobot, the maker of the popular robot vacuum Roomba, said it’s working on a version of the disc-shaped household helper that has arms. The company envisions a limbed version of the Roomba that’s able to help out with more complex tasks, like laundry, dishwashing, and food serving.

Author: Andrew J. Hawkins

Read More On: The Verge

7. Going Beyond Machine Learning To Machine Reasoning

The conversation around Artificial Intelligence usually revolves around technology-focused topics: machine learning, conversational interfaces, autonomous agents, and other aspects of data science, math, and implementation. However, the history and evolution of AI is more than  just a technology story.

Author: Ronald Schmelzer

Read More On: Forbes

8. Google’s AI predicts local precipitation patterns ‘instantaneously’

Google hopes to tap AI and machine learning to make speedy local weather predictions. In a paper and accompanying blog post, the tech giant detailed an AI system that uses satellite images to produce “nearly instantaneous” and high-resolution forecasts — on average, with a roughly one kilometer resolution and a latency of only 5-10 minutes.

Author: Kyle Wiggers

Read More On: VentureBeat

9. An algorithm that learns through rewards may show how our brain does too.

In 1951, Marvin Minsky, then a student at Harvard, borrowed observations from animal behavior to try to design an intelligent machine. Drawing on the work of physiologist Ivan Pavlov, who famously used dogs to show how animals learn through punishments and rewards, Minsky created a computer that could continuously learn through similar reinforcement to solve a virtual maze.

Author: Karen Hao

Read More On: MIT Technology Review

10. Remote Work Has a Hidden Challenge: Data Security. Here’s How Experts Overcome It.

Social Security numbers. Bank account information. Customer passwords. Every business needs to protect its most valuable data, and most offices have a common last-resort option: If you close and lock the doors, nobody’s going to access your system from the inside by, say, sticking a malicious USB drive into a computer.

Author: Cameron Albert-Deitch

Read More On: Inc