Engineers at NASA's Jet Propulsion Laboratory are taking artificial intelligence to the next level -- by sending it into space disguised as a robotic snake. With the sun beating down on JPL's Mars Yard, the robot lifts its "head" off a glossy surface of faux ice to scan the world around it. It maps its surroundings, analyzes potential obstacles and chooses the safest path through a valley of fake boulders to the destination it has been instructed to reach. Once it has a plan in place, the 14-foot-long robot lowers its head, engages its 48 motors and slowly slithers forward. Its cautious movements are propelled by the clockwise or counterclockwise turns of the spiral connectors that link its 10 body segments, sending the cyborg in a specific direction.

Deep reinforcement learning (DRL) has attracted much attention in automated game testing. Early attempts rely on game internal information for game space exploration, thus requiring deep integration with games, which is inconvenient for practical applications. In this work, we propose using only screenshots/pixels as input for automated game testing and build a general game testing agent, Inspector, that can be easily applied to different games without deep integration with games. In addition to covering all game space for testing, our agent tries to take human-like behaviors to interact with key objects in a game, since some bugs usually happen in player-object interactions. Inspector is based on purely pixel inputs and comprises three key modules: game space explorer, key object detector, and human-like object investigator. Game space explorer aims to explore the whole game space by using a curiosity-based reward function with pixel inputs. Key object detector aims to detect key objects in a game, based on a small number of labeled screenshots. Human-like object investigator aims to mimic human behaviors for investigating key objects via imitation learning. We conduct experiments on two popular video games: Shooter Game and Action RPG Game. Experiment results demonstrate the effectiveness of Inspector in exploring game space, detecting key objects, and investigating objects. Moreover, Inspector successfully discovers two potential bugs in those two games. The demo video of Inspector is available at https://github.com/Inspector-GameTesting/Inspector-GameTesting.

It's a question that has sent many a space fanatic into orbit: How will humans survive on other planets? Now one of the country's leading astronomers believes the answer could be even more out of this world – by making future explorers part cyborg. Martin Rees, the Astronomer Royal, said modern space pioneers could try to modify themselves and become a mix of'flesh, blood and electronics'. Referencing entrepreneurs such as Elon Musk, Lord Rees told the Hay Festival: 'These intrepid explorers on Mars will be out of the clutches of the regulators and they will have every incentive to modify themselves because they are very badly adapted for Mars. The Astronomer Royal, Martin Rees said modern space pioneers could try to modify themselves and become a mix of'flesh, blood and electronics' (Stock image) Human hand and robot's as a symbol of connection between people and artificial intelligence technology'They will use all these techniques to adapt themselves.

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. As AI systems increasingly inform decision-making in health care, finance, law, and criminal justice, they need to provide justifications for their behavior that humans can understand. The field of "explainable AI" has gained momentum as regulators turn a critical eye toward black-box AI systems -- and their creators. But how a person's background can shape perceptions of AI explanations is a question that remains underexplored. A new study coauthored by researchers at Cornell University, IBM, and the Georgia Institute of Technology aims to shed light on the intersection of interpretability and explainable AI.

NASA presents its space explorers as instant legends, in any event, when their achievements in space are groundbreaking. Maybe the best case of NASA's public-relations prowess was the participation of John Glenn, the first American to circle Earth, in the 1998 shuttle mission STS-95. Glenn's re-visitation to space at the age of 77 made STS-95 the most ardently followed mission since the Apollo moon arrivals. NASA guaranteed that Glenn went up for science, he filled in as a test subject in different clinical trials, however, unmistakably the primary advantage of Glenn's space shuttle ride was exposure, not a scientific revelation. NASA is as yet leading grade A science in space, but it is being finished by unmanned probes instead of space explorers.