ati
'Shut it down and start again': staff disquiet as Alan Turing Institute faces identity crisis
When the UK government announced the creation of the Alan Turing Institute in 2014 it promised a "fitting memorial" to the renowned computer scientist and artificial intelligence pioneer. More than a decade on, Britain's leading AI institute is in turmoil as staff warn it may be in danger of collapse and ministers demand a shift in focus to defence and security work. "The ATI brand is well recognised internationally," says Dame Wendy Hall, a professor of computer science at the University of Southampton and the co-chair of a 2017 government AI review. "If it ceases to be the national institute for AI and data science then we are at risk of weakening our international leadership in AI." Turing's legacy, as the mathematical genius who helped crack the Enigma code, outlined key concepts of AI and invented the eponymous test to discern whether a computer can show human intelligence, has been rebuilt and burnished in recent years. In 2013 he received a posthumous royal pardon 59 years after his death, having been convicted of gross indecency in 1952 after admitting a sexual relationship with a man.
Staff at UK's top AI institute complain to watchdog about its internal culture
Staff at the UK's leading artificial intelligence institute have raised concerns about the organisation's governance and internal culture in a whistleblowing complaint to the charity watchdog. The Alan Turing Institute (ATI), a registered charity with substantial state funding, is under government pressure to overhaul its strategic focus and leadership after an intervention last month from the technology secretary, Peter Kyle. In a complaint to the Charity Commission, a group of current ATI staff raise eight points of concern and say the institute is in danger of collapse due to government threats over its funding. The complaint alleges that the board of trustees, chaired by the former Amazon UK boss Doug Gurr, has failed to fulfil core legal duties such as providing strategic direction and ensuring accountability, with staff alleging a letter of no confidence was delivered last year and not acted upon. A spokesperson for ATI said the Charity Commission had not been in touch with the institute about any complaints that may have been sent to the organisation.
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Minister demands overhaul of UK's leading AI institute
The technology secretary has demanded an overhaul of the UK's leading artificial intelligence institute in a wide-ranging letter that calls for a switch in focus to defence and national security, as well as leadership changes. Peter Kyle said it was clear further action was needed to ensure the government-backed Alan Turing Institute met its full potential. In a letter to ATI's chair, seen by the Guardian, Kyle said the institute should be changed to prioritise defence, national security and "sovereign capabilities" – a reference to nation states being able to control their own AI technology. The call for new priorities implies a downgrading of ATI's focus on health and the environment, which are two of three core subjects for the institute, alongside defence and security, under its "Turing 2.0" strategy. "Moving forward, defence and national security projects should form a core of ATI's activities, and relationships with the UK's security, defence, and intelligence communities should be strengthened accordingly," Kyle wrote.
Why the Novanta acquisition is a win-win for ATI employees
Novanta has been under contract to acquire ATI Industrial Automation for $172 million in cash. And it turns out the deal is a win-win for most ATI employees, not just the co-founders and higher-ups. In 2012, ATI established an Employee Stock Ownership Plan (ESOP). An ESOP is a federally-qualified ERISA benefit plan that makes employees owners in the company. Founded in 1989 in North Carolina, ATI has become a global company with over 350-plus employees worldwide.
Using Answer Set Programming in an Inference-Based approach to Natural Language Semantics
Nouioua, Farid, Nicolas, Pascal
I ns ti t ut Gal i lé e - U niv. P ar is - Nord 93430 V il l et ane us e - F RA NC E noui ouaf @l ipn.uni v-pa ri s 13.fr G eneral ly s peaking, form al NL s em antic s i s re ferenti al i .e. it as sum es t hat i t is pos si ble t o c reate a s tati c dis course uni verse and to equat e t he obj ect s of t his uni verse t o the (s tat ic) mea nings of w ords . The me aning of a sent ence is then buil t from t he me anings of the w ords in a c ompos iti onal proces s and the se mant ic inte rpretat ion of a s entenc e i s reduce d to it s logic al i nterpret ati on bas ed on t he t ruth condit ions . The very diffic ult tas k of ada pting the mea ning of a s ent ence to its c ontext is often left to the pragm ati c l evel, and this tas k re quires t o us e a huge a mount of com mon s ens e know ledge a bout the domai n. It has bee n s howe d t hat the above tri-pa rtit ion i s very arti fici al becaus e l inguis ti c a s we ll as e xtra-li nguis tic know ledge i nterac t i n t he s am e gl obal proces s to provide the ne ces sa ry elem ents for unders ta nding. But what kind of rea soni ng is needed for na tural language se manti cs? T he ans we r to thi s que st ion is bas ed on the remark t hat t exts s eldom provide norma l det ail s t hat are a ss umed to be known to the reader.
An Anthological Review of Research Utilizing MontyLingua, a Python-Based End-to-End Text Processor
MontyLingua, an integral part of ConceptNet which is currently the largest commonsense knowledge base, is an English text processor developed using Python programming language in MIT Media Lab. The main feature of MontyLingua is the coverage for all aspects of English text processing from raw input text to semantic meanings and summary generation, yet each component in MontyLingua is loosely-coupled to each other at the architectural and code level, which enabled individual components to be used independently or substituted. However, there has been no review exploring the role of MontyLingua in recent research work utilizing it. This paper aims to review the use of and roles played by MontyLingua and its components in research work published in 19 articles between October 2004 and August 2006. We had observed a diversified use of MontyLingua in many different areas, both generic and domain-specific. Although the use of text summarizing component had not been observe, we are optimistic that it will have a crucial role in managing the current trend of information overload in future research.
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