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Our proprietary annotation platform enables highly accurate yet cost-efficient data labeling in the cloud, or in our client’s secure computing environment. Contact us to learn how we enable some of the world’s largest organizations to iteratively train AI/ML models using our data, services, and software.
We are a company that provides end to end managed annotation services for companies in the AI, Ml and CV space.
The skyrocketing salaries ($1m per year) of AI engineers is not a hype. It is the fact of current corporate world, where you will witness a shift that is inevitable.
We’ve already set our feet at the edge of the technological revolution. A revolution that is at the verge of altering the way we live and work. As the fact suggests, humanity has fundamentally developed human production in three revolutions, and we’re now entering the fourth revolution. In its scope, the fourth revolution projects a transformation that is unlike anything we humans have ever experienced.
The artificial intelligence (AI) is changing the functioning of the automotive industry. Autonomous vehicles might be the first thing coming to mind when thinking of an example on the impact of AI in the car industry, but it is not the only one. AI not only can improve vehicle performance but it also enhances their design process. This is precisely the aim of the UPSCALE project, applying Machine Learning techniques to Computer Aided Engineering (CAE) methods.
Historically, CAE tools have been an invaluable mean for product development in many industry sectors, in particular, in the automotive sector. Despite its notable contribution over all these years, there have been no major changes or significant improvements in their application. To break this pattern, the UPSCALE’s consortium aims at creating and applying machine learning-driven simulation workflows. This would reduce development time through speeding up simulation time by orders of magnitude in crash and Computational Fluid Dynamics (CFD) simulations. AI-CAE integration would lead to securing simulation results faster, cheaper and more accurately. Moreover, the objective of UPSCALE would also be, for CAE processes, to become fully automated and adapted as a software solution for the automotive industry.
Challenges of the project
Taking into account the large number of existing vehicles with different characteristics, one of the main challenges, for the project to succeed, is being able to feed and train AI algorithms with enough information to function. This is particularly challenging because until now AI and machine learning have been used to solve proof of concept simulation models, UPSCALE face the challenge of demonstrating that AI can also deal with real industrial simulation models, such as full-size vehicle aerodynamics or crash.
Big challenges require big responses and big solutions that is why UPSCALE consortium has already begun to work. From November 2018 until April 2022, thanks to funding obtained from Horizon 2020, the European Research and Innovation programme, a team composed of universities, research laboratories, European automotive OEMs, software companies and an AI-SME, specialized in machine learning, will be working to achieve the above-mentioned goal and make the European automotive industry more competitive. Will they succeed?
Read more on the project and follow the progress achieved through the UPSCALE’s website and newsletter.
We would like to invite you to attend the one day interactive Directors’ Forum event which provides insights and expert advice from world leading experts and practitioners on how to embrace the new age of Artificial Intelligence & Automation focused on the impact to the Retail industry and the use of Customer Data. The Directors’ Forum events are hosted at Gallup’s conference centre in The Shard, London.
On Wednesday 17th July we will have a focus on AI Transforming Retail & Customer Data
The event is a combination of expert speakers, panel sessions on relevant topics with delegate participation and case studies, together with plenty of opportunities for networking and discussions during our lunch and coffee breaks. We will also have partner companies providing demos and information for delegates during the breakout sessions.
The forum is a great opportunity to learn about both the current state of adoption of AI in the industry but also to hear the latest thinking about future opportunities for applications that will improve the customer experience and company effectiveness.
Get your Ticket Now – http://air.events/directorsforums/july2019/#tickets
With a range of speakers, panel events and case study, including;
- Mary Wallace, Retail, Place & Consumer Behaviour SME – IBM iX
- Karl Barnfather, Patent Attorney & Chairman at Withers & Rogers
- Julian Burnett, VP, Global Markets – Distribution Sector (UK) at IBM
- Marc Janoff, Managing Consultant Gallup
- and others
Join us at the next AI & Robotics Directors’ Forums hosted at the Gallup offices at the Shard the one day events cover a number of topics covering AI and Customer Experience.
On Thursday 27th June we will have a focus on AI & CX Transforming Financial Services
Get your Ticket Now – http://air.events/directorsforums/june2019/#tickets
With a range of speakers, panel events and case study, including;
- Chris Ezekiel, CEO of Creative Virtual
- Abhijit Akerkar, AI Strategist & Business Integrator at Lloyds Banking Group
- Tom Castle, Head of Artificial Intelligence Practice and Development at Natwest
- Mark Cliffe, Chief Economist at ING
- Saurabh Moody Voiceman, CEO of Alphaa AI
- Dr Djamila Amimer, CEO Mind Senses Global
- and many more
The post Thursday 27th June – AI & CX Transforming Financial Services appeared first on NEURONS.AI.
Link to Full Article: Read Here
Ensemble learning or model ensembling, is a well-established set of machine learning and statistical techniques for improving predictive performance through the combination of different learning algorithms. The combination of the predictions from different models is generally more accurate than any of the individual models making up the ensemble. Ensemble methods come in different flavours and levels of complexity (for a review see https://arxiv.org/pdf/1106.0257.pdf), but here we focus on combining the predictions of multiple deep learning networks that have been previously trained.
Wow. I can not believe it has actually been four years since I launched our first AI related website.
The progress made this past 12 months has been amazing, and demonstrates the momentum we now have. Our mission remains focused on enabling people to learn more artificial intelligence, making the subject more accessible to everyone. Essentially Supporting the AI Community.
We have for the first four years been dedicated to individuals and this still remains a key part of our audience, however, we are seeing a great need to support businesses. Our Awards was always targeted to supporting AI companies, but now we need more and more traditional businesses wanting to know more about AI.
Over the four years, our user base has demonstrated wonderfully encouraging organic growth. We now have close to 1,000 visitors per day to our websites from every country across the world. 6,000 members are part of our Neurons professional network with 25 groups in 15 countries and this is expanding on a weekly basis, and with nearly 100,000 followers of our various social media channels, and several thousand people subscribing to our various newsletters.
We also have a great network of volunteers, from the chapter leaders of the various meetup groups, to the judges for the for annual achievement awards, and the central team that support me on many other tasks and plans.
This is truly a community for the people, run by the people, and it makes me so proud to be part of it.
I want to thank you all for being part of the community and ask that you share with you friends and colleagues and help us make this the best and biggest AI community.
Business Focus – AI & Robotics Events (AIR.Events)
Our journey to support businesses wanting to learn more about AI has really started with our acquisition of the AI events company run by CBM. These events include regular Directors’ Forums events, hosted by Gallup in the Shard, our next event is on the 27th June focused on AI & CX Transforming Financial Services. We then have AI Transforming Retail and Customer Data on the 17th July.
As part of this acquisition we will also be running the AI & Robotics Main Event Conference on the 4th October.
To support businesses further, we will be organising Roundtable Workshops and Dinners.
Please visit our site AIR.Events
If your business would like to be involved with these events in any way, please contact us via email@example.com or visit our website.
into.AI is the main portal for individuals, providing useful information and news on AI, and links to all our other mini-sites.
We want to thank everyone for their continued involvement. We are always looking for contributors, to submit stories, press releases and thought leadership articles. Sharing your news and thoughts is all part what this ecosystems is designed for, so please don’t hesitate to submit your news on our platform.
We are now also creating our own unique stories, articles and papers, which we hope you will enjoy. This exclusive content will also be shared as part of our newsletters.
We have a regular spotlight for those AI companies / startups that want to showcase their new products to the community. Totally free method of promoting yourselves. We have also featured individuals who have authored books for example.
One of our newest sites is Shared.AI, this is a simply site that allows individuals and companies to submit a range of different AI related information, from links to companies and products to news and press releases. This allows a single place to submit useful information that will be shared across our network. It also has a blog of the most recently submitted items.
The AI Awards, have been a huge success on a global scale, we have already awarded over 60 winners of the AI Awards. Having now entered our third year, we are making it a much bigger programme of events throughout the year. Currently still open for nominations, across 60+ categories of awards, the judging and showcases will occurring in the coming months at various locations, with the awards ceremony happening in late November / early December.
The Awards are still open for nominations, visit Awards.AI to submit your nomination before 1st July.
This is the Oscars of the AI tech world, the only independent AI Awards.
Neurons.AI and Chapters.Neurons.AI
We continue to grow our Professional Network for AI Practitioners and Researchers call Neurons. This is a mix of both online and offline interactions, with meetups, forums, user blogs and messaging. This platform allows us to facilitate the knowledge sharing between organisations, allowing us all to benefit from the open developments of this field.
We have just launched a new online portal for Neurons.AI and will be combining the chapters site into it very soon. This update will allow us to add more functionality over the coming weeks and months.
We have over twenty Chapters in 15 countries around the world, and continue to grow the number every month.
If you would like to lead a chapter in your City, please let us know.
Our next London meeting is on the 28th May … so please come along … https://Chapters.Neurons.AI/UK/London
Now listing over 200 AI related events, conferences, meetups, one-day events and webinars. With the largest list of discount codes for AI conferences in one place. It is the goto place to see what events are running. Many of the large conference organisers list there events on our site.
We are actively looking to acquire a recruitment company to help us develop and grow our capability around our careers portal and jobs board.
Our newly acquired AI & Robotics Conference will become the AI Showcase in 2020 and we will have two conferences one in London and another in Edinburgh.
In 2021 we will look to expand this to include an international conference.
Management Team & Advisory Board
We are starting the process of getting a management team and advisory board together. This is a critical part of our development as a group, allow us to increase our offerings and to make our products and services more advanced. This marks a new phase of maturity for us, and a significant change to our business structure and organisation.
This will also allow me to transition more responsibility to a wider team and removing myself as a potential bottleneck. I can then focus on more advanced and new products and services while the team ensure the current platform is stable and continues to grow.
We are also actively looking to establish a global advisory board, if you are interested to join, please let us know via our contact us page
Having a management team is combined with our strategy of growth by acquisition, with one acquisition already executed this year and two more planned.
Our main challenge with this ecosystem, is that there is so much more we would do with the platform, given more time and resources.
We have a number of sponsorship opportunities across the platform, including the Awards, Neurons and our Events. If you would like your company to be associated with the great work we are doing with this ecosystem, please contact us for more details.
In addition we have a number of additional projects and sites in the planning stage which we will be launching in the coming months, which will add new capabilities to our portfolio of sites.
We are always looking for more help and support from volunteers.
We need more chapter leaders, and co-leads for each chapter, with additional support for each too.
Much more help on content for many of our sites, from blogs to structured updates on specific sites. We really need alot of help here. Please contact us to find our more.
Partners & Sponsors
Partnerships, Sponsorships and Business Development are all areas we need to extend and develop over the coming months. We would appreciate any help from people who believe they can contribute to these areas for us.
We Value your Support Feedback and Comments
As always, your feedback is welcomed and encouraged, as we want to make sure we are delivering useful sites and functionality. The best way to do this is email us at talk@into.AI
Thank you for your continued support and encouragement.
From the Informed AI Team
Our group of websites includes:
Our social media:
We also have facebook pages and our Informed.AI LinkedIn page.
Prof Andy Pardoe
Founder of the Informed.AI Group
Artificial intelligence is an area of computer science that uses digital computers or robots that have ability to perform tasks by using human intelligence which include learning or acquisition of information, reasoning, and self-correction. Artificial systems are commonly used in expert systems that make complex decisions, speech recognition, evaluate investment opportunities etc.
Increasing adoption of artificial intelligence in consumer electronics and healthcare sector is a primary factor driving demand for this technology in the global market. This demand is expected to increase exponentially during the forecast period owing to increasing application of artificial intelligence in various other sectors. Features such as high computing power and accuracy to enhance productivity and improve customer satisfaction are also some of the factors that are expected to drive demand in the global market.
Rising adoption of artificial intelligence technology in media and advertising to determine the influencing factors for consumer buying behavior is expected to boost demand during the forecast period.
Challenges such as high production and deployment costs are hampering demand for artificial intelligence technology in the market globally. Lack of skilled labor to manage, monitor, and operate systems is restricting growth of the global artificial intelligence market. Majority of companies operating in the market are facing challenge related to accumulating funds for early stage R&D of prototypes and their underlying technologies.
The global artificial intelligence market is segmented on the basis of solution, technology, industry verticals, and region. On the basis of region, the global artificial intelligence market is segmented into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.
North America is the leading regional market and is expected to hold its dominance over the forecast period owing to increasing adoption of artificial intelligence technology in various sectors, cloud based services, and government funding. Europe is expected to witness remarkable growth during the forecast period. Among other regions, the market in Asia Pacific is expected to register rapid and high revenue growth during the forecast period.
Key players in the global artificial intelligence market are Atomwise Inc., Google Inc., IBM Corp., Microsoft Corporation, Rocket Fuel Inc., Qlik Technologies Inc., MicroStrategy, Inc., Brighterion, Inc., Numenta Inc., Sentient Technologies, and Inbenta Technologies, Inc.
Our own exhaustive guide on how artificial intelligence will impact the future of work.
Conversational AI and chatbots are now a core part of any business plan. Read our exhaustive guide to learn the meaning and impact of bots on your business.
Today we will highlight signal processing applications using deep learning techniques. Deep Learning developed and evolved for image processing and computer vision applications, but it is now increasingly and successfully used on signal and time series data.
Deep learning for signal data typically requires preprocessing, transformation, and feature extraction steps that image processing applications often do not. While large high-quality image datasets can be created with relatively low-cost cameras, signal sets are harder to obtain and will usually suffer from large variability caused by wideband noise, interference, non-linear trends, jitter, phase distortion, and missing samples.
According to “MyCustomer” reports, 80% of all UK businesses will have a chatbot solution in place by the end of 2020.
The rise of artificial intelligence and the accessibility of disruptive technology in the current marketplace means that any company can take their business to the next level with an AI chatbot.
Unfortunately, brands from most industries are still facing a host of challenges when it comes to getting the full value out of intelligent solutions.
Here, we’re going to cover everything you need to know about the market for modern chatbot tools, and how they can help you to transform customer service.
Every year we bring a group of outstanding data science practitioners to Christ Church, Oxford, for an advanced, intensive course on AI. Among our delegates are the current and past Kaggle champions. Due to the advanced nature of the content, many of our delegates are senior industry leaders and decision makers with a lot of experience, many of them leading data science and AI teams or entire organisations. There are also many senior quants with decades of experience in finance, seeking to reposition towards AI.
The lectures are given by leading academics, including Dr. Paul Billion and Prof. Matthew Dixon, and industry-leading practitioners from finance, insurance, medicine, engineering, and beyond.
Our condensed, intensive, interactive five-day course will take our delegates from a brief overview of the mathematical foundations to current state of research and industry practice in ML/AI.
In addition to covering the depths of the theory, we work through real financial, medical, and engineering datasets, showing how highly nontrivial and non-obvious information can be extracted from them. In finance, this leads to superior alpha and better execution. In medicine, this leads to saving lives and money.
The Artificial Intelligence Board of America (ARTIBA) researches, designs and validates excellence through credible and industry acknowledged standards and certifications. The objective of ARTIBA is to serve the AI profession by providing professionals with comprehensive resources that improve their expertise in the job and keep them abreast of the latest trends in AI.ARTIBA provides the Artificial Intelligence Engineer (AIE) certification program. The AIE credential stands for the present and aspiring Artificial Intelligence professionals as an industry-recognized qualification across the world. This credential is centered around the ARTIBA AMDEX – the AI & ML Design & Engineering Excellence Framework – a powerful knowledge model for excellence in enterprise-level Artificial Intelligence practice.
My name is Claire and I’m on a mission to help everyone with understanding big data concepts and how to use artificial intelligence – it is my passion! So much so I want to pass this love on to you! I help inquisitive millennials who love to learn about tech and artificial intelligence by blogging about learning to code and innovations in AI.
The Senseon platform is a unique and innovative AI-led approach to cyber threat detection. Senseon offers security teams unparalleled visibility across their organisations, allowing for the
detection of even the most subtle and complex of cyber attacks. By alerting accurately on genuine threats, Senseon dramatically reduces false positive alerts.
The technology (AI Triangulation)
Senseon deploys its senses across endpoints, networks, and Investigator Bots – which look at potential threats from an outside point of view – to detect unusual activity anywhere in the organisation. Senseon’s unique AI Triangulation technology thinks like a human analyst. By observing threats from multiple perspectives, pausing for thought, and learning from experience, Senseon automates the process of investigation. In this way, Senseon detects even the most subtle and complex of cyber attacks, increases the accuracy of threat detection, and
dramatically reduces the number of false positive alerts.
“Real time machine learning technologies, like Senseon,
are critical in helping organizations cut through the
noise of their busy networks to identify the real threats.”
Dr Ken Urquhart, Former Senior Director, Microsoft Alchemie Ventures
simMachines is a machine learning software company offering explainable AI solutions to a variety of industries. Visit our website or contact us for more information.
simMachines was founded in 2012 by data scientist Arnoldo Muller. Since 2004, the founder has achieved several scientific accomplishments and contributions, leading to the commercial launch of simMachines in 2016.
The BICO Artificial Intelligence optimization platform will enhance rider experience and accelerate the growth of Bike Share Schemes in Santiago, Buenos Aires and across Brazil
London, 30th January 2018 – Stage Intelligence the leading Artificial Intelligence (AI) platform provider for Mobility and Logistics, has been selected by Tembici, the leader in bike sharing in Latin America, to deploy its BICO AI optimization platform in cities across the region. AI will be used to automate and accelerate Tembici’s operations creating efficiencies across their Bike Share Schemes as well as reducing their impact on the environment.
The initial phase of the deployment will cover cities in Brazil including Rio de Janeiro, Sao Paulo, Recife, Salvador, Port Alegre and Vila Velha. In phase two, the BICO AI optimization platform will be rolled out in Santiago, Chile, and Buenos Aires, Argentina. Altogether, Tembici will use BICO to optimise rider experience and increase the usability of over 16,000 bikes.
“Tembici is passionate about the transformation in Bike Share Schemes and recognises the potential of AI to benefit both its operations and riders across Latin America. After a successful trial, we are extremely proud to be deploying in eight new cities and using our platform to support the growth of Bike Share Schemes across the continent,” said Tom Nutley, CEO at Stage Intelligence. “Stage believe that a smarter approach to transport results in sustainable Bike Share Schemes but also healthy and happier riders and communities. We look forward to growing our partnership with Tembici across Latin America and enabling its success in new markets.”
Tembici is the largest Bike Share company in Latin America. Across its schemes, it was looking for a way to ensure usability for riders while creating new cost-efficiencies. Usability of a Bike Share Scheme is about ensuring that bikes and docking stations are available when and where they are needed most. When riders are able to access bikes or docks, they are likely to make Bike Share part of their daily routine. Reliability is an integral part of any mobility operation and ensuring access to bikes or docks enables both ridership and revenue growth in schemes.
“The BICO AI optimization platform delivers a benefit to our operations that enables us to keep providing an exceptional service to riders, and in the same time save costs. We have seen the power of the platform in our trials with Stage Intelligence and we believe BICO has tremendous potential for our schemes,” said Mauricio, COO at Tembici. “BICO has been proven to reduce the number of trucks required for redistribution which reduces CO2 emissions while also getting more people on bikes and enjoying cycling in our cities. It is a win-win for citizens and urban areas.”
Stage Intelligence has deployed its BICO AI optimization platform in Bike Share Schemes in major cities including Paris, Helsinki, Chicago and Guadalajara, Mexico. It has had success in reducing the number of trucks needed to redistribute bikes and over the last 12 months has reduced CO2 emissions in its Bike Share Schemes by 10 metric tonnes. Stage Intelligence has also seen the number of rides per bike per day increase by 5.5 in its top performing scheme. This means more people are using the scheme and using it consistently while operators benefit from increased return on investment per bike.
About Stage Intelligence
Stage Intelligence specialises in developing Artificial Intelligence solutions for the mobility and logistics industry. Its flagship solution, the BICO AI optimization platform, delivers real-time intelligence for the management of Bike Share Schemes.
BICO enables precise and optimal decision making and has been purpose-built to remove the complexity from managing resources within a Bike Share Scheme. Partners choose Stage Intelligence because its solutions increase their agility, adaptability and enable them to move beyond traditional manual processes.
Since its inception in 2011, Stage has collaborated with leading Bike Share operators from around the world to solve complex problems and deliver solutions that have a lasting impact on their operations.
Tembici is the leader in the Bike Share market in Latin America. Responsible for the planning, implementation and operation of shared bicycle systems in 18 cities in Brazil, Argentina and Chile. The company also has bicycles parking lots, totaling 34 projects that are part of the daily lives of 3.5 million users of Porto Alegre, Rio de Janeiro, Salvador and São Paulo, among others. Currently, the startup has more than 500 employees who ensure that more than 1 million trips a month are an excellent transportation experience in those cities.
Siddartha Khastgir is an automotive engineer on a mission to bring driverless cars to a safe reality. Sharing his passion for cars and driverless car technology and backed by extensive research during his PhD, he challenges our fundamental expectations of safety and our misconceptions about driverless cars.
This eye-opening talk cuts through the media-hype and provides an insider’s view into how we as a society can benefit from driverless cars, even if they are imperfect! Siddartha is the Research Lead for Verification & Validation of Driverless Car technologies at WMG, University of Warwick, UK. He has been recognised both nationally and internationally for his applied research contributions, and was listed in the prestigious Forbes ’30 Under 30′ Europe 2018 list. He is part of an international team of experts creating international standards for safe introduction of driverless cars.
Follow on Twitter @siddkhastgir