NASA says its presence on the moon won't just be for show. With new technology, the agency hopes to mine natural resources on the lunar surface as well as reachable asteroids. Through NASA's Innovative Advanced Concepts (NIAC) program, the agency said it will begin to explore the feasibility of robotic rovers and mining technology that could make space mining a reality. To do so, it has green-lit two mission concepts this month. NASA wants to get a jump-start on mining in space with a tandem of proposals that would develop future technology.

Summer romance is in the air and the special someone you just met at an online dating site or on social media seems too good to be true. The sad truth is the person just might turn out to be. In fact, your would-be dreamboat could be a "catfisher." Some states have a higher risk than others, it seems. HighSpeedInternet.com has issued a new report "When Love Bites," in which the internet service provider comparison website identified the states where you are most likely to fall prey to these scammers.

Elizabeth Keatinge tells us about Tesla's Autonomy Investor Day where robotaxis were discussed. LOS ANGELES -- Coming soon to a Tesla screen near you: A racing game that uses the car's steering wheel. This came straight from avid gamer and Tesla CEO Elon Musk at the E3 video game expo in Los Angeles. "I mean, if you have a racing game and you have a steering wheel...it's sitting right there, waiting to be steered," Musk said. Though he did not announce when the game, "Beach Buggy Racing 2," would be available, he said that along with the steering wheel, the brake would also be wired into the game.

At the Computex event in Taiwan, NVIDIA unveiled EGX, a multi-cloud and AI-enabled edge computing platform for enterprises. NVIDIA EGX is a unified edge computing stack that can span from the tiny Jetson Nano to a full rack of T4 servers. Customers can start small with EGX and gradually scale to support full-blown GPUs. NVIDIA is optimizing the software stack to power devices such as drones to dedicated servers that can handle AI inferencing at scale. NVIDIA Edge Stack is an optimized platform powered by NVIDIA drivers, a CUDA Kubernetes plugin, a CUDA container runtime, CUDA-X libraries and containerized AI frameworks and applications such as TensorRT, TensorRT Inference Server and DeepStream SDK.

Academics and researchers typically accuse the media of scaremongering and painting dystopian scenarios, especially when it comes to the coverage of Artificial Intelligence (AI)-powered algorithms. They do have a point, especially as machine learning and deep learning algorithms are exactly what power most of the software and smart devices that we use in our daily lives, be they smartphones, cameras, Internet of Things (IoT) devices or voice assistants. Smartphone penetration and advances in image recognition, for instance, are turning phones into powerful at-home diagnostic tools, while these cutting-edge algorithms are helping doctors, researchers and technology companies revolutionize healthcare. Besides, AI in conjunction with IoT (sensors and wearables), robotics, virtual reality (VR) and augmented reality (AR) is playing a very important role. Further, researchers use AI systems to help radiologists improve their ability to diagnose and track prostate cancer. Nvidia researchers have generated synthetic brain MRI images for AI research with the aim of helping doctors learn more about rare brain tumours.

Vencore is a proven provider of information solutions, engineering and analytics for the U.S. Government. With more than 40 years of experience working in the defense, civilian and intelligence communities, Vencore designs, develops and delivers high impact, mission-critical services and solutions to overcome its customers most complex problems. Headquartered in Chantilly, Virginia, Vencore employs 3,800 engineers, analysts, IT specialists and other professionals who strive to be the best at everything they do. Responsibilities: The Data Engineer will work with a team supporting a wide range of activities, including information systems development, integration of scalable solutions using various platforms, and architecting automated and scalable data process monitoring processes.

Compared to other global powers, the European Union (EU) is rarely considered a leading player in the development of artificial intelligence (AI). Why is this, and does this in fact accurately reflect the EU's activities related to AI? What would it take for the EU to take a more leading role in AI, and to be internationally recognised as such?

Artificial Intelligence and Machine Learning are two of the most popular and powerful technologies in the world at preset. In fact, it is believed that the market of AI and ML is forecasted to grow in huge numbers. In fact, even the voice searches are forecasted to grow at approximately 270% across India. In fact, AI is expected to touch even the most unexpected areas across the world. For example, Agricultural industry, astronomy and the field of defense are a few of the areas where we didn't expect AI to make such huge impact.

The use of artificial intelligence (AI) is quickly expanding within the financial services industry in the US, according to a new report from Broadridge Financial Solutions, a provider of technology to banks, brokers, asset managers, and other businesses. Broadridge surveyed 153 financial services professionals at the Securities Industry and Financial Markets Association (SIFMA) Operations Conference & Exhibition in May 2019, and found that the sector's top priority for AI applicationsis data mining, cited by 36% of the respondents. That was followed by post-trade processing (20%), market analytics (13%), and trading systems (12%). A majority of respondents (84%) said their company is in or past the "Enlightenment Age" of AI, during which they are at or beyond proof of concept. Twenty-nine percent have moved into the "Industrial Age", with pilot programs, and 20% are in the modern "Information Age," with AI in full production.

The selection committee for the ACM SIGAI Industry Award for Excellence in Artificial Intelligence (AI) is pleased to announce that the Decision Service created by the Real World Reinforcement Learning Team from Microsoft, has been chosen as the winner of the inaugural 2019 award. The committee was impressed with the identification and development of cutting-edge research on contextual-bandit learning, the manifest cooperation between research and development efforts, the applicability of the decision support throughout the broad range of Microsoft products, and the quality of the final systems. All these aspects made the Microsoft team well worthy of this award. See the call for nominations.