This week’s automation article introduces “Codex,” a new machine learning application that converts English into code to assist developers who are passionate about coding. The New York Times has created yet another experimentation tool. They employ machine learning to push the boundaries of journalism. By extending it to the GitHub Team and enterprise(cloud) plans, GitHub is launching the broader rollout of the browser coding environment Codespace.
However, Google has announced that a new artificial intelligence system is MUM that stands for Unified Model Multitask. It is designed to capture human language subtlety and nuances globally, which can help users to more easily find information or ask abstract questions. In addition, SpaceX will acquire Swarm Technologies, the leading satellite network startup for the 19-year-old Elon Musk company.
10) OpenAI can translate English into code with its new machine learning software Codex
AI research company OpenAI is releasing a new machine learning tool that translates the English language into code. The software is called Codex and is designed to speed up the work of professional programmers, as well as help amateurs get started coding.
Read More: The Verge
9) GitHub brings cloud-based Codespaces development environment to the Enterprise
GitHub is kicking off the broader rollout of its browser-based coding environment Codespaces by extending it to GitHub Team and Enterprise (cloud) plans. The Microsoft-owned company also announced that internally it has transitioned from a “MacOS model” to Codespaces, which is now the default development environment for GitHub.com.
Read More: Venture Beat
Author: Paul Sawers
8) SpaceX to acquire satellite connectivity startup Swarm Technologies
SpaceX to acquire satellite connectivity startup Swarm Technologies, According to TechCrunch SpaceX is going to be acquiring satellite connectivity startup Swarm Technologies, the primary such deal for the 19-year-old space company headed by Elon Musk.
Read More: Automeme
7) This new AI tool from Google could change the way we search online
While Google’s search engine has been online for over two decades, the technology that powers it has been constantly evolving. Recently, the company announced a new artificial intelligence system called MUM, which stands for Multitask Unified Model.
Read More: Popular Science
Author: CHARLOTTE HU
6) The Experts Making High-Tech Storytelling Possible
The tool, which uses machine learning to most accurately infer what readers are asking, is a project of The Times’s research and development group. A constantly evolving department at The Times that has existed in its current form since 2016, the group continually looks for ways that technology can elevate journalism.
Read More: NY Times
Author: Sarah Bures
5) 6 Ways how AI drove innovation at the Olympics 2021
A growing number of AI technology has been used to analyze athlete performance, predict the likelihood of victory, perfect moves, and define strategies during the last years.
And if you watched the games, you may have not noticed that AI was massively present at the Olympics this year.
Read More: Medium
Author: Jair Ribeiro
4) Spell introduces MLOps for deep learning
Deep learning model development and management drive special requirements, especially around the provisioning of hardware. Spell introduced a machine learning operations (MLOps) platform last week that caters to these very needs.
Read More: ZD Net
Author: Andrew Brust
3) Big Tech’s Stranglehold on Artificial Intelligence Must Be Regulated
Google CEO Sundar Pichai has suggested—more than once—that artificial intelligence (AI) will affect humanity’s development more profoundly than humanity’s harnessing of fire. He was speaking, of course, of AI as a technology that gives machines or software the ability to mimic human intelligence to complete ever more complex tasks with little or no human input at all.
Read More: Foreign Policy
Author: Bhaskar Chakravorti
2) HOW CAN ROBOTS REGAIN HUMAN TRUST AFTER A BLUNDER?
When robots make mistakes—and they do from time to time—re-establishing trust with human coworkers depends on how they own up to the errors, and how human-like they appear, researchers report.
Read More: Futurity
Author: LAUREL THOMAS-MICHIGAN
1) Artificial neural networks modeled on real brains can perform cognitive tasks
By examining MRI data from a large Open Science repository, researchers reconstructed a brain connectivity pattern and applied it to an artificial neural network (ANN). An ANN is a computing system consisting of multiple input and output units, much like the biological brain.