Glad you asked: for one, they keep consumers incredibly engaged. Lauren Kunze, CEO of Pandorabots, recently said that the chatbots her company produced have resulted in an 80% open rate (compared to a 24% industry average for emails).
Interested in how conversational interfaces are impacting healthcare, retail, financial services and more? Tweet with this link about #chatbots for your chance to win a ticket to CogX London 2018 (11-12 June) where you’ll hear from experts in the field.
Read on to learn about how hackers are using AI, the benefits of enterprise AI, an AI-written fairy tale, and more.
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If the following scenario doesn’t already sound familiar, then it will soon. A kid is doing homework alone in another room. You hear a question, “What’s the capital of Delaware?” The parent starts thinking: Baltimore…too obvious…Wilmington…not a capital. But before the thought is complete, a machine called Alexa says the correct answer: “The capital of Delaware is…”
????First one to get the answer to the above question wins a 2-Day Pass to CogX. Tweet your answer @Cognition_X with #CogX18. Excerpt from Prediction Machines.
Cyber-attackers are turning to tools that automate the process of finding and hijacking vulnerable servers, a study has found. The study used a fake server known as a honeypot to log everything done to it by digital intruders.
Put online by security firm Cybereason, the server was quickly found and hijacked in seconds by a bot that broke through its digital defences. The firm said it expected to see more attacks staged with little human help. “The bot did all the hard work,” said Ross Rustici, head of intelligence services at Cybereason. “It shows how lazy hackers have become.”
Christoph Auer-Welsbach (Partner, IBM Ventures) writes about how this year, AI will further elevate the enterprise by transforming the way we work, securing digital assets, increasing collaboration and ushering in a new era of AI-powered innovation.
Early industry successes (and failures) proved AI’s inevitability, but also the reality that wide-scale adoption would come through incremental progress only. This year, we’ll see AI move from influencing product or business functions to an organisation-wide AI strategy. Expect the winners to move fast and remain nimble to keep implementing off-the-shelf and proprietary AI.
Botnik Studios has teamed up with meditative app Calm to create a new Grimms-style fairy tale to add to its collection of audio bedtime stories. According to a press release, The Princess and the Fox was made using Botnik’s predictive text program, with some actual humans smoothing out the edges and filling in the gaps to make it a cohesive story.
You can definitely tell some real people had their hands in the cookie jar for this one, because it actually sounds like a real story—unlike some of Botnik’s previous work, like that time where Harry Potter dipped Hermoine in hot sauce or Worf’s dad was repeatedly disgraced.
The authors of Prediction Machines start with a simple insight: Recent developments in AI are about lowering the cost of prediction. AI makes prediction better, faster, and cheaper. In teaching this subject to MBA graduates at the University of Toronto’s Rotman School of Management, we have introduced a simple decision-making tool: the AI Canvas. Each space on
the canvas contains one of the requirements for machine-assisted decision making, beginning with a prediction.
The potential is enormous. For example, alarms communicate predictions to a remote agent. Part of the reason for this approach is that there are so many false signals…More generally, better predictions will create opportunities for entirely new ways to approach security, potentially predicting the intent of intruders before they even enter.
Machine Intelligence Garage is designed to help startups with a well defined business idea and technical capability for whom access to computation power is a barrier to growth. Successful applicants will get access to best-in-class cloud compute, hosted hardware or UK HPC alongside expertise from our partners and collaborators.
The programme is delivered by Digital Catapult as part of a CAP-AI project and is part funded through the European Regional Development Fund.
Israeli AI legal contract platform developer LawGeex announced the closing of a $12M Series B financing round led by Aleph venture capital fund and with the participation of previous investors including Lool Ventures. LawGeex has raised $21.5M to date.
The company’s AI platform helps business analyse and approve legal contracts, a process that LawGeex describes as a ‘bottleneck’. LawGeex was founded by CEO Norry Bechor and AI expert Ilan Admon. Bechor said, “We allow businesses to work faster and better with an automatic response to the question ‘Can we sign this?’
Yesterday, IBM announced the launch of its Adversarial Robustness Toolbox for AI developers. The open-source kit contains everything a machine learning programmer needs to attack their own deep learning neural networks (DNN) to ensure they’re able to withstand real-world conditions.
The toolbox comes in the form of a code library which includes attack agents, defense utilities, and benchmarking tools that allow developers to integrate baked-in resilience to adversarial attacks. The
company says it’s the first of its kind.
Army researchers have developed an artificial intelligence and machine learning technique that produces a visible face image from a thermal image of a person’s face captured in low-light or nighttime conditions. This development could lead to enhanced real-time biometrics and post-mission forensic analysis for covert nighttime operations.
“This technology enables matching between thermal face images and existing biometric face databases/watch lists that only contain visible face imagery,” said Dr Benjamin S. Riggan, a research scientist. “The technology provides a way for humans to visually compare visible and thermal facial imagery through thermal-to-visible face synthesis.”