Can the diverse artificial intelligence (AI) community come together to build an infrastructure to advance the United Nation's sustainable development goals (SDGs, https://sustainabledevelopment.un.org/sdgs) around the world? Can global projects be developed that begin to address pressing issues surrounding some of our greatest humanitarian challenges to help all? Those were the goals of the second annual AI for Good Global Summit, the leading United Nations platform for dialogue on Artificial Intelligence held in Geneva, Switzerland, over three days in May. The conference was organized by the International Telecommunication Union (ITU), the United Nations' specialized agency for information and communication technology (ICT), in partnership with the XPRIZE Foundation, the Association for Computing Machinery (ACM), and 32 sister UN agencies. The 500 attendees consisted of a diverse set of multi-stakeholders with wide-ranging expertise--from the individual UN agencies (including everything from UNESCO and UNICEF to The World Health Organization, The World Bank, and UNHCR), AI researchers, public- and private-sector decision-makers, potential financial partners and sponsor organizations.

The 45th US President was in your shoes before you and he is just doing fine. Or click on the pictures below to zoom in. Pedro URIA RECIO is thought-leader in artificial intelligence, data analytics and digital marketing. His career has encompassed building, leading and mentoring diverse high-performing teams, the development of marketing and analytics strategy, commercial leadership with P&L ownership, leadership of transformational programs and management consulting.

Integrating Blockchain and Artificial Intelligence (AI) is a long, ongoing process that carries huge potential and the ability to disrupt many of the current, existing industries -- Some of the industries that are seeing success with this convergence of these technologies are medicine, semiconductors, and hospitality. And why is this integration and adoption crucial for corporations around the world? By definition, Blockchain is a digitized, decentralized, distributed public ledger (DLT) that maintains and records data in a way that enables multiple entities to move and share information permanently and securely. AI is the theory and development of building machines capable of performing specific and technical duties. Most well-known AI examples rely heavily on deep learning and natural language processing.

Technological advances represent great opportunities. Whether it's in the fields of medicine, transport, agriculture, commerce, finance or virtually any other domain, robotics, AI and machine learning are having a transformative effect by advancing how we analyze and act upon data from the world around us. It makes sense that this technology be considered for national security and defense purposes, which is why it's not a surprise that we are seeing many countries invest heavily in AI and in military robotic systems with greater autonomy.

The Cambridge Analytica scandal showed us how Russian AI-powered fake news had the power to steer the U.S. 2016 presidential campaign. It is now a matter of fact that intelligent machines aren't the future of media and publishing, but the present. Although that last sentence may sound ominous, our future is not necessarily linked to a nightmare of fake news and social media managers stealing our private information, though. Artificial Intelligence, automation, machine learning and all the latest technology trends of the last few years are going to revolutionize our current scenario, and maybe, even in a better way. Believe it or not, you've probably read news articles written entirely by a machine.

The list of top most widely used search platform for artificial-intelligence where it is possible to learn and research the latest research. OpenAI can be currently a non profit synthetic intelligence (AI) investigation corporation, correlated with firm magnate Elon Musk, which intends to cautiously advertise and acquire beneficial AI such ways as to profit, as opposed to injury, humankind for a whole. The company intends to"publicly collaborate" together along with different associations and research workers from using its rivals and explore receptive for the general public. More than US$ inch billion in obligations support the business . The creators have been prompted by problems regarding hazard.

Artificial intelligence (AI) has worked its way into a variety of industries, from the obvious (autonomous vehicles) to the hidden (anti-money laundering due diligence). But while organizations are clearly recognizing the value associated with incorporating AI into their business processes, they also are encountering a number of challenges with integrating this new intelligence into their operational processes. The value of using algorithms to unmask hidden patterns and then correlate findings with other seemingly unrelated variables to create real "intelligence" is becoming increasingly clear with each completed proof-of-concept (POC) project. But it is the larger, organization-wide deployment of AI that will generate the return on investment (ROI) that companies large and small have been seeking. To fully access the operational and economic benefits of AI, however, organizations are realizing that, in most cases, enabling AI is not a plug-and-play proposition.

Artificial intelligence is emerging as a useful cyber security tool, but experts are warning companies not to view the technology as a "silver bullet". Many elements of cyber defence -- particularly monitoring large amounts of data -- can be better handled by machines than humans. "It's not so much that AI does it better, but that it works unendingly and consistently without getting tired," says Daniel Miessler, director of advisory services at IOActive, a cyber security consultancy. At present, most security teams are only looking at "a tiny fraction -- less than 1 per cent" of the data their organisations are producing, he says. In a large organisation, analysing the rest is such a monumental task that it can quickly overwhelm humans.

After nearly two decades of fighting in Afghanistan and Iraq, the Marine Corps is looking to reorient toward its specialty, amphibious operations, while preparing for the next fight against what is likely to a more capable foe. Peer and near-peer adversaries are deploying increasingly sophisticated weaponry that the Corps believes will make amphibious landings a much more challenging proposition in the future. The Corps is looking for high-tech weapons to counter those looming threats, but it's also looking for a sophisticated system to counter a persistent, low-tech, but decidedly dangerous weapon -- mines hidden close to shore. According to a recent post on the US government's Federal Business Opportunities website, first spotted by Marine Corps Times, the Marine Corps Rapid Capability Office is looking to autonomous and artificial-intelligence technology to "increase Marines' ability to detect, analyze, and neutralize Explosive Ordnance (EO) in shallow water and the surf zone" -- two areas where amphibious ships and landing craft would spend much of their time. "Initial market research has determined multiple technically mature solutions exist that can assist Marines ability to achieve this capability," the notice says.

FILE - The Pentagon is seen in this aerial view in Washington, in this March 27, 2008 file photo. The Pentagon is making a massive push to accelerate the application of artificial intelligence to ships, tanks, aircraft, drones, weapons and large networks as part of a sweeping strategy to more quickly harness and integrate the latest innovations. Many forms of AI are already well-underway with US military combat systems, yet new technologies and applications are emerging so quickly that Deputy Secretary of Defense Patrick Shanahan has directed the immediate creation of a new Joint Artificial Intelligence Center. "The Deputy Secretary of Defense directed the DoD Chief Information Officer to standup the Joint Artificial Intelligence Center in order to enable teams across DoD to swiftly deliver new AI-enabled capabilities and effectively experiment with new operating concepts in support of DoD's military missions and business functions." DoD spokeswoman Heather Babb told Warrior Maven.