Lifeboat Foundation

Nevertheless, to date, most of the wealth generated by advances in A.I. and robotics has been acquired by the executives of technology companies. It’s time for the benefits of the A.I. revolution to be broadly distributed through an expanded social safety net.

Unfortunately, members of Congress are taking the opposite path and have proposed cuts to a range of social programs. Several hundred thousand people arrived in Washington on Saturday to protest these cuts. During the demonstration, masked agitators threw rocks at the autonomous drones deployed for crowd control; in response, drones dispensed pepper spray on the protesters below, causing a stampede. More than 20 people were injured and treated at local hospitals; one protester died of his injuries on Monday. The police detained 35 people at the scene; 25 more arrests have been made since then, after authorities used facial recognition technology to identify protesters from surveillance video.

Punishing the poor who were harmed by economic disruptions has been a mistake repeated throughout American history. During the Industrial Revolution, machines displaced many artisans and agricultural workers. To deter these unemployed workers from seeking public relief, local governments set up poorhouses that required residents to perform hard labor. And between 1990 and 2020, the federal government — and some state governments — repeatedly cut social program spending even as middle-class jobs disappeared as a result of outsourcing and automation. Workers who didn’t have the skills to thrive in the knowledge economy were resigned to join the underclass of service workers.

This week DARPA kicks off a competition called the Subterranean Challenge, where hordes of robots are unleashed into caves and tunnels to test how well they can autonomously navigate these environments. One team, headed up by NASA’s Jet Propulsion Lab (JPL), is entering a crew of bots that could inform future designs of spacefaring robots that explore caves and lava tubes on other planets and moons.

Scientists have developed an automated tool for mapping the movement of particles inside cells that may accelerate research in many fields, a new study in eLife reports.

The movements of tiny molecules, proteins and cellular components throughout the body play an important role in health and disease. For example, they contribute to brain development and the progression of some diseases. The new tool, built with cutting-edge machine learning technology, will make tracking these movements faster, easier and less prone to bias.

Currently, scientists may use images called kymographs, which represent the movement of particles in time and space, for their analyses of particle movements. These kymographs are extracted from time-lapse videos of particle movements recorded using microscopes. The analysis needs to be done manually, which is both slow and vulnerable to unconscious biases of the researcher.

Putin’s robo-nauts prepare for lift-off: Fedor as he gets ready to board the International Space Station crew next week…

Icknamed Fedor, the anthropomorphous machine — which is remarkably agile — was seen undergoing a battery of stress-tests at the Baikonur Cosmodrome in Kazakhstan, last month.

Continue reading “Russia’s space agency releases eerie footage of human-like android” »

Two trends that are dominating the technology industry are the Internet of Things (IoT) and Artificial Intelligence (AI). But for industrial automation, these two technologies are much more than the buzzwords or trending topics. The convergence of AI and IoT will redefine the future of industrial automation. It is set to lead the Industry 4.0 revolution.

IoT and AI are two independent technologies that have a significant impact on multiple industry verticals. While IoT is the digital nervous system, AI becomes the brain that makes decisions which control the overall system. The lethal combination of AI and IoT brings us AIoT — Artificial Intelligence of Things — that delivers intelligent and connected systems that are capable of self-correcting and self-healing themselves.

To appreciate the promise of AIoT, we need to look at the evolution of connected systems.

Blockchain startup BitFury launched an artificial intelligence (AI) unit, Reuters reports on Aug. 13.

“Data is the new oil”

Bitfury chief executive officer and co-founder Valery Vavilov reportedly said that the company’s dive into AI is motivated by the need to analyze and extract information from great quantities of data. He reportedly noted that data is becoming the new oil and stated:

Algorithms meant to spot hate speech online are far more likely to label tweets “offensive” if they were posted by people who identify as African-American.

AI systems meant to spot abusive online content are far more likely to label tweets “offensive” if they were posted by people who identify as African-American.

The news: Researchers built two AI systems and tested them on a pair of data sets of more than 100,000 tweets that had been annotated by humans with labels like “offensive,” “none,” or “hate speech.” One of the algorithms incorrectly flagged 46% of inoffensive tweets by African-American authors as offensive. Tests on bigger data sets, including one composed of 5.4 million tweets, found that posts by African-American authors were 1.5 times more likely to be labeled as offensive. When the researchers then tested Google’s Perspective, an AI tool that the company lets anyone use to moderate online discussions, they found similar racial biases.

Continue reading “Google’s algorithm for detecting hate speech is racially biased” »

The art of matchmaking has traditionally been the province of grandmas and best friends, parents, and even—sometimes—complete strangers. Recently they’ve been replaced by swipes and algorithms in an effort to automate the search for love. But Kevin Teman wants to take things one step further.

The Denver-based founder of a startup called AIMM has built an app that matches prospective partners using just what they say to a British-accented AI. Users talk to the female-sounding software to complete a profile: pick out your dream home, declare whether you consider yourself a “cat person,” and describe how you would surprise a potential partner.

Continue reading “AI could be your wingman—er, wingbot—on your next first date” »

An AI system introduced in 2015 with much fanfare in the U.S. failed to recognise faces of African Americans with the same accuracy as those of Caucasian Americans. | Photo Credit: AP

N. Dayasindhu