- Today marks the end of Facebook’s transition period between their former phrase-based translation system and their new AI-driven neural machine translation (NMT) system.
- While Facebook is a bit behind the curve with this move (tech companies like Google and Microsoft have been using NMT since last year) this technology should result in a significant boost to translation accuracy for the social media giant.
- The issue with Facebook’s previous phrase-based translation system (and phrase-based systems on a whole) is that it wasn’t really capable of looking at entire sentences.
- However, AI translation technology is still far from perfect, and Facebook faces a unique set of problems when it comes to translating content on their site.
- For example, Facebook engineering manager Necip Fazil Ayan pointed out in an interview with TechCrunch that Facebook is a platform that sees a lot of slang, acronyms and other informal language, which would likely make it more difficult for an NMT system to automatically translate text across the entire platform.
Facebook translations haven't exactly been spot-on in the past, but that might change from here on out. Today marks the end of Facebook's transition period between their former phrase-based translation system and their new AI-driven neural machine translation (NMT) system.
Continue reading “Facebook is now exclusively using AI to translate posts and comments”
- As Artificial Intelligence (AI) and Machine Learning (ML) get set to take a giant leap in improving day-to-day life, the key is to democratise these new-age tools for all and benefit the communities of developers, users and enterprise customers, a top Google executive said here on Wednesday.
- Google, a pioneer in AI, has been focusing on four key components – computing, algorithms, data and expertise — to organise all the data and make it accessible.
- Google as a company has always been at the forefront of computing AI,” Fei-Fei Li, Chief Scientist of Google Cloud AI and ML, told reporters during a media interaction here.
- Earlier this year, Google announced the second-generation Tensor Processing Units (TPUs) (now called the Cloud TPU) at the annual Google I/O event in the US.
- “We announced the Cloud TPU — the second-generation of our processing unit and our intention is to make it available via Google Cloud,” the top executive added.
Google, a pioneer in AI, has been focussing on computing, algorithms, data and expertise, to organise all the data and make it accessible.
Continue reading “We want to democratise artificial intelligence: Google”
- Andrew Ng, one of the founders of Coursera, has set out to raise a $150 million fund – dubbed AI Fund – in order to invest in artificial intelligence startups.
- At the end of June, we reported that Ng had left the Chinese company, Baidu, where he was in charge of the AI team to form his new startup, deeplearning.ai.
- At the time that we reported on that news, it wasn’t clear what Ng had in mind; in the time since, deeplearning.ai has started offering courses on Coursera which Ng himself is a co-founder of.
- According to the course description on Coursera, those who complete the course should leave with the following skills:
The year has been busy for AI funds, Google has rolled out Gradient Ventures, Basis Set Ventured drew in $136 million to their fund, Element.AI raised $102 million, Microsoft Ventures started an AI fund and Toyota gathered $100 million to spend on AI investment.
- Ng’s recognition in the field should help him put together a decent fund to aid AI startups going forward.
Andrew Ng, formerly of Baidu and co-founder of Coursera, has filed with the SEC to set up ‘AI Fund’. He hopes that the fund will raise $150 million in order to help AI startups get off the ground.
Continue reading “Coursera co-founder, Andrew Ng, sets out to raise $150M for AI Fund”
- Calling itself The Future of Life Institute, its founders included Jaan Tallinn – who helped create Skype – and a physicist from Massachusetts Institute of Technology.
- That physicist was Professor Max Tegmark.
- With a mission to help safeguard life and develop optimistic visions of the future, the Institute has focused largely on Artificial Intelligence (AI).
- Of particular concern is the potential for AI to leapfrog humans and achieve so-called “superintelligence” – something discussed in depth in Tegmark’s latest book Life 3.0.
- This week Ian Sample asks the physicist and author what would happen if we did manage to create superintelligent AI?
Ian Sample speaks with Prof Max Tegmark about the advance of AI, the future of life on Earth, and what happens if and when a ‘superintelligence’ arrives
Continue reading “Being human in the age of artificial intelligence”
- For AI researchers optimization and sampling is particularly important, because it allows to train Machine Learning models much faster with higher accuracy.At the present time, Canadian D-Wave is the leading company in quantum computing.
- Task description is encoded as the energy function in connections between qubits, and through annealing they are moving towards some optimal configuration.If the transition is carried out slowly enough the algorithm will find a ground state (i.e., an optimal solution) with high probability:During the annealing process, probability of qubits ending up in the minimum energy state increasesQuantum Coupling allows qubits to explore all potential solutions simultaneously, and at the same time Quantum Tunneling allows them to move through high energy barriers towards the “better” states.
- This video by D-Wave explains QA in more details:IBM QAnother major player is IBM Q. Big Blue is working with Gate-model quantum computing and their machines are Universal Quantum Computers.
- State-of-the-art processors from IBM have 16 and 17 qubits, and it’s really hard to scale further.More general architecture of IBM’s processors allows them to run any quantum algorithms.
- Only theoretical research and simulations on toy problems.Overall, quantum computing looks like a promising direction for stochastic models in Machine Learning.
Quantum computing is still in it’s infancy, and no universal architecture for quantum computers exists right now. However, their prototypes are already here and showing promising results in…
Continue reading “The Present and Future of Quantum Computing for AI – Towards Data Science – Medium”
- Every development in AI is portrayed as the forerunner to Skynet from the Terminator movies, or something from Blade Runner, Westworld or another vision of a future ruled by robot overlords.
- Paypal founder and billionaire entrepreneur Elon Musk joined in, warning that AI represented the greatest threat to mankind.
- Sadly, we’re probably going to have to get used to this for a few years yet, until AI becomes more mainstream, creates as many jobs as it eliminates, and starts to deliver huge benefits to businesses and society – much like new technologies have for the last 50 years.
- We are, in many ways, starting into an age where what was once science fiction will become a reality – but just because sci-fi writers realised that dystopian visions sell more books than utopian dreams, we’ve become culturally conditioned to the idea that too much new technology is a bad thing.
- For IT professionals, your job is to understand and explain what AI and other emerging technologies can bring to your business and your customers – and to deliver the enormous potential on offer.
Clearly we are going through the phase in the development of artificial intelligence (AI) technology where rationality and reasoned debate are replaced by science-fiction scaremongering and …
Continue reading “IT leaders’ pragmatism will be the antidote to AI scaremongering”
- Venkatesh Ramanathan is a senior data scientist at PayPal where he is working on building state-of-the-art tools for payment fraud detection.
- Venkatesh has worked on various problems in the areas of Anti-Spam, Phishing Detection, and Face Recognition.
- Data Science is an emerging field that allows businesses to effectively mine historical data and better understand consumer behavior.
- This type of scientific data management approach is critical for any business to successfully launch its products and better serve its existing markets.
Venkatesh Ramanathan presents how advanced machine learning algorithms such as Deep Learning and Gradient Boosting are applied at PayPal for fraud prevention.
Continue reading “Large Scale Machine Learning for Payment Fraud Prevention Recorded at:”
- That’s the vision of Andrew Ng, a founder of the Google Brain deep learning project, and former head of AI at Baidu–a position he left in March–who is today announcing a set of five interconnected online courses on the subject.
- “Today, if you want to learn deep learning, there are lots of people searching online, reading [dozens of] research papers, reading blog posts, and watching YouTube videos,” Ng tells Fast Company.
- As Ng sees it, getting to an AI-powered economy is going to take the work of much more than any one, or even several companies.
- “I hope we can build an AI-powered future that provides everyone affordable healthcare, accessible education, inexpensive and convenient transportation, and a chance for meaningful work for every man and woman,” Ng says in his announcement, which is the first from his newly created company, deeplearning.ai.
- Ng is aware that many people are still confused by AI, often getting bogged down in the different subspecialties, and lingo that can easily be misused.
The founder of Google Brain and former head of Baidu’s AI efforts wants to train a giant new workforce to help make “AI the new electricity.”
Continue reading “AI Superstar Andrew Ng Is Democratizing Deep Learning With A New Online Course”
- Nexus CX, a pioneer in AI, is getting properly up close and personal.
- In SU’s pilot stages, men who thought they were talking to a bot responded more openly than those who were told they were speaking with a human at the other end.
- Nexus CX are working with Amazon’s Alexa, recording Trainor’s friend, documenting his memories and thoughts, helping to test a virtual counterpart and robot avatar that will speak based on collected patterns of speech.
- It’ll console people in a way that humans can’t.
- And when you think of the great technological advancements of the past decade, one creation stands head and shoulders above the rest: the iPhone.
Apparently, artificial intelligence is going to take over our lives, our jobs, our minds even and not necessarily in a good way. It’s inevitable.
Continue reading “I blame the parents – AI needs to be raised right”
- Is AI on your software development roadmap?
- With technologies like advanced machine learning, deep learning, natural language processing, and business rules, AI is poised to disrupt both how developers build applications and the nature of those applications.
- The risks—unrealistic expectations, integration with traditional applications, and more—can’t be ignored as your organization strives for the rewards of an accelerated development cycle and a new generation of self-learning applications.
- Uncover this shifting digital landscape and how your business can take advantage of it in the Forrester Research report, “How AI Will Change Software Development And Applications.”
- Fill out the form at right to read the free report.
Learn how AI is changing the application development landscape
Continue reading “Learn how AI is changing the application development landscape”