The Australian government has announced awarding five organisations with Defence Innovation Hub grants worth AU$5.9 million. Western Australia-based L3 Oceania has secured a AU$2.9 million contract to explore the development of an underwater acoustic sensor, while the University of Newcastle will explore the development of virtual reality-based resilience training programs for Australian Defence Force (ADF) personnel under a AU$2.2 million contract. Agent Oriented Software from Victoria has been awarded a AU$378,000 grant to explore the concept of an "autonomous teamed intelligent software agent capability resilient to cyber-attacks"; Explosive Protective Equipment from Queensland received a AU$242,000 grant to explore the integration of a Cobham Amulet Ground Penetrating Radar into an existing unmanned ground vehicle for the detection of improvised explosive devices; and Griffith University received a AU$183,000 grant to explore the development of a portable device that enables real-time detection of airborne biological threats. "These investments will drive growth in defence industry and innovation whilst focusing on the capability needs required to ensure Australia's national security now and into the future," Minister for Defence Industry Christopher Pyne said in a statement on Friday. Launched in December last year, the Defence Innovation Hub has invested about AU$20 million to industry and research organisations, Pyne said.
If climate change, nuclear weapons or Donald Trump don't kill us first, there's always artificial intelligence just waiting in the wings. It's been a long time worry that when AI gains a certain level of autonomy it will see no use for humans or even perceive them as a threat. A new study by Google's DeepMind lab may or may not ease those fears. There are two unmistakable sides to the debate concerning the future of artificial intelligence. The researchers at DeepMind have been working with two games to test whether neural networks are more likely to understand motivations to compete or cooperate.
We set up competitions between multiple simulated 3D robots on a range of basic games, trained each agent with simple goals (push the opponent out of the sumo ring, reach the other side of the ring while preventing the other agent from doing the same, kick the ball into the net or prevent the other agent from doing so, and so on), then analyzed the different strategies that emerged. Agent trained on sumo wrestling, and then subjected to a variable unknown "wind". The agent managed to stay upright despite never seeing the windy environment or observing wind forces, while agents trained to walk using classical reinforcement learning would fall over immediately. Agent trained to walk using classical reinforcement learning, and then subjected to a variable unknown "wind".
IBM Watson 1,245,051 views Delivering personalized experiences with IBM Digital Experiences - Duration: 4:36. Sachin Lulla 86 views Getting Started with Watson Virtual Agent - Duration: 4:52. Sachin Lulla 55 views Complex made simple – with Watson Supply Chain - Duration: 0:34. Delivering personalized experiences with IBM Digital Experiences - Duration: 4:36.
TekMonks – Global, Skilled and Successful 2 Vision Statement To be a reputable Global Corporation providing quality solutions for business issues using technology and highly skilled people. Any banking bot requires… • Integration into core banking systems • Needs a mature platform which can perform transactions • And a mature AI engine which can correctly understand transactional requests For decades, IBM mainframe and AS/400 systems have powered banking transactions. TekMonks – Global, Skilled and Successful 2 Vision Statement To be a reputable Global Corporation providing quality solutions for business issues using technology and highly skilled people. Any banking bot requires… • Integration into core banking systems • Needs a mature platform which can perform transactions • And a mature AI engine which can correctly understand transactional requests For decades, IBM mainframe and AS/400 systems have powered banking transactions.
Earlier this year, Microsoft announced that they have started using intelligent virtual agent for Microsoft Support customer care in the US. "HP is reinventing the support experience by empowering our customers to easily solve a broad range of issues on their own," said Jon Flaxman, Chief Operating Officer, HP Inc. "Microsoft's advanced Artificial Intelligence capabilities enables HP Customer Service to deliver and manage these self-service solutions efficiently and with more precision." In addition to the Dynamics 365 AI solutions, Microsoft also announced easy to implement, modular SaaS apps for businesses to transform their HR business process. These apps will make use of their existing data, connect to their existing systems, deliver insights from LinkedIn and connect to Office 365 and Dynamics 365 to delivering meaningful results.
Initially, most of them did not think it was AI, or even take the time to understand it, maybe because it was not created in AI Labs or academia and didn't evolve as an AI project, but rather through a series of organic evolutionary steps toward financial independence from third parties to reduce transactions frictions. Cypherpunks created many versions of electronic decentralized value exchange systems until one took off: it's called Bitcoin. It may not be even called Bitcoin, but while the evolutionary steps are referred to as layer 2, layer 0, version 2.0, 8.8 or whatever it is called, the fact remains that the start of this revolutionary technology began with Bitcoin. In its initial state, several components were missing, which are now in the process of being implemented to truly disrupt current systems by enabling efficient access to the emerging market for financial inclusion in a complete decentralized setting.
That application, which became available for purchase in July, integrates with LinkedIn Recruiter and provides a consolidated HR profile, spanning Office 365 Dynamics 365 and LinkedIn profiles. At the company's Ignite IT pro conference in Orlando this week, Microsoft officials announced plans for two additional HCM apps: Dynamics 365 for Talent: Attract and Dynamics 365 for Talent: Onboard. They will be able to take advantage of users' existing data, link to their existing HR systems, and integrate with LinkedIn, Office 365 and Dynamics 365. Microsoft engineers will custom build these kinds of agents for enterprise customers using Microsoft's Knowledge Graph, Bing data, Microsoft machine-reading technology, its AI Authoring technology for going beyond scripted dialogues and more.
There are multiple approaches that you might take to create Artificial Intelligence, based on what we hope to achieve with it and how will we measure its success. These have an internal state depending on perception history. Agents combine the provided goal information with the environment model, to chose the actions which achieve that goal. A utility agent will chose the action that maximizes the expected utility.