If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
A start-up is deliberately trying to crash aircraft into drones to test a new collision-avoidance system. US-based Iris Automation's technology can detect, identify and react to airborne objects. The start-up says it can spot light aircraft 500 metres away, respond in a fifth of a second, and it works with the drone travelling at up to 210 kilometres per hour. Traditionally, collision avoidance systems for drones are similar to those used for other aircraft, which rely on radar, but are large and expensive.
Creating driverless cars capable of humanlike reasoning is a long-standing pursuit of companies like Waymo, GM's Cruise, Uber, and others. Intel's Mobileye proposes a mathematical model -- the Responsibility-Sensitive Safety (RSS) -- it describes as a "common sense" approach to on-the-road decision-making that codifies good habits like giving other cars the right of way. For its part, Nvidia is actively developing Safety Force Field, a decision-making policy in a motion-planning stack that monitors unsafe actions by analyzing real-time sensor data. Now, a team of MIT scientists are investigating an approach that leverages GPS-like maps and visual data to enable autonomous cars to learn human steering patterns, and to apply the learned knowledge to complex planned routes in previously unseen environments. Their work -- which will be presented at the International Conference on Robotics and Automation in Long Beach, California next month -- builds on end-to-end navigation systems architected by Daniel Rus, director of the Computer Science and Artificial Intelligence Laboratory (CSAIL).
The global analysis of Artificial Intelligence In Finance Market and its upcoming prospects have recently added by Research N Reports to its extensive repository. It has been employed through the primary and secondary research methodologies. This market is expected to become competitive in the upcoming years due to the new entry of a number of startups in the market. Additionally, it offers effective approaches for building business plans strategically which helps to promote control over the businesses. "Artificial Intelligence is the intelligence which is shown by machines. Cognitive computing, Chatbots, Personal Assistant, Machine Learning are all peripherals of AI used in the finance industry extensively nowadays."
I have worked with 12 startups. They have spanned verticals from fintech and healthcare to ed-tech and biotech, and ranged from pre-seed to post acquisition. My roles have also varied, from deep-in-the-weeds employee #1 to head of data science and strategic advisor. In all of them I worked on interesting machine learning and data science problems. All tried to build great products.
Jason Yang, an IMES research scientist, is the lead author of the paper, which appears in the May 9 issue of Cell. Other authors include Sarah Wright, a recent MIT MEng recipient; Meagan Hamblin, a former Broad Institute research technician; Miguel Alcantar, an MIT graduate student; Allison Lopatkin, an IMES postdoc; Douglas McCloskey and Lars Schrubbers of the Novo Nordisk Foundation Center for Biosustainability; Sangeeta Satish and Amir Nili, both recent graduates of Boston University; Bernhard Palsson, a professor of bioengineering at the University of California at San Diego; and Graham Walker, an MIT professor of biology.
The UK has been knocked from the top spot of a global ranking of countries whose governments are ready to capitalise on artificial intelligence technologies in public services. The UK was narrowly beaten to the number one position by Singapore in this year's Government AI Readiness Index, which the ranking's authors described as a "timely reminder of the ongoing inequality of access to AI". This is the second time the ranking has been produced, with the UK having topped the leaderboard in the first iteration in 2017. Technology consultancy Oxford Insights and the Canadian government-sponsored International Development Research Centre said the 2019 Government AI Readiness Index should prompt governments to "act to ensure that global inequalities are not further entrenched or exacerbated by AI". Unsurprisingly, the upper echelons of the ranking were dominated by higher-income countries with strong economies.
When we program morality into robots, are we doomed to disappoint them with our very human ethical inconsistency? In his newest novel, Machines Like Me, the British writer Ian McEwan takes on the rise of artificial intelligence, exploring how humans would react to the creation of perfectly human-like robots. But he does it in his particularly McEwan-esque fashion. Rather than creating a work of speculative fiction set in a near future where general artificial intelligence has become a reality, McEwan sets Machines Like Me in an alternate past, a 1980s London where the internet already exists and the English A.I. pioneer Alan Turing -- who in our world was effectively hounded to death by government authorities in 1954 because of his homosexuality -- instead lived and went on to create the first true A.I.: a collection of androids for purchase called Adams and Eves. Why paranoia about digital voice assistants is overblown.
New Tech Affiliate Partners CognitiveScale, Kore.ai and Shibumi Highlight Power and Innovation Behind Blue Prism's connected-RPA Offering ORLANDO, FLA – May 23, 2019 -- Continuing to push the envelope for innovation around intelligent automation capabilities, Blue Prism (AIM: PRSM) today announced that CognitiveScale, Kore.ai and Shibumi have joined the company's Technology Alliance Program (TAP) as affiliates. These new partners will help drive digital transformations for their clients by extending Blue Prism's connected-RPA capabilities to include AI-powered chatbots along with workflow and data synchronization solutions being delivered in a Software-as-a-Service (SaaS) model. "Each month Blue Prism adds a few key technology partners that show us the art of the possible with our digital workforce," says Linda Dotts, SVP Global Partner Strategy and Programs for Blue Prism. "Our connected-RPA platform provides a bedrock foundation for enterprise customers looking to drive innovation through new intelligent automation capabilities. This latest group of technology partner affiliates highlights the depth and breadth of our rapidly evolving ecosystem."
For all of the hype about artificial intelligence (AI), most software is still geared toward engineers. To demystify AI and unlock its benefits, the MIT Quest for Intelligence created the Quest Bridge to bring new intelligence tools and ideas into classrooms, labs, and homes. This spring, more than a dozen Undergraduate Research Opportunities Program (UROP) students joined the project in its mission to make AI accessible to all. Undergraduates worked on applications designed to teach kids about AI, improve access to AI programs and infrastructure, and harness AI to improve literacy and mental health. Six projects are highlighted here.