HubSpot acquires AI startup Kemvi. Baidu’s AI endeavours. Dwayne Johnson + Siri. http://cognitionx.com/news-briefing/.
Yesterday I ran a workshop for young women with InnovateUK. We brainstormed an update to Asimov’s Three Laws of Robotics. You can see the results here – we agreed that it is not wise for virtual assistants to be gendered.
Led by founder and CEO Falon Fatemi (once Google’s youngest employee), Node emerged from stealth on Tuesday ready to take on its lofty goal of changing the way we discover information. By using AI to connect you or your business with the right opportunity at the right time, Node wants to “accelerate serendipity” on the web.
Node’s patent-pending technology works by indexing people, places, products, and companies instead of web pages, and using this data to connect customers to opportunities. So far, it has half a billion profiles. The AI understands the relationships between people and companies, and can marry its data layer with a customer’s personal
NatureSweet, which grows tomatoes on six farms in the United States and Mexico,is using AI to better control pests and diseases in its greenhouses. The technology, developed by the Israeli digital farming company Prospera, has already improved harvests and reduced labor costs.
NatureSweet began testing the technology almost a year ago at one of its farms in Arizona. Adrian Almeida, chief innovation officer at NatureSweet, believes artificial intelligence will eventually improve his greenhouses tomato yields by 20%. So far, NatureSweet’s weekly harvests have grown 2 to 4%. This may seem modest, but the results makes a big difference when growing millions of pounds of tomatoes a year.
Applications are now open for the first Innovate UK infocus global entrepreneur mission for women focusing on human and machine interaction (AI, robotics, IoT, VR, AR, etc). The mission will coincide with Boston’s HUBweek, a collaboration that will bring together the most creative and inventive minds in technology, science and innovation.
Innovate UK, Digital Catapult, and the British Consulate General Boston are inviting female entrepreneurs to take part in a new global trade mission to the US. EMERGE Boston 2017 is a one-week delegation of female founders to Boston, Massachusetts. It takes place from 10 to 15 October 2017. You can apply here.
Article to Share With Your Less Data Savvy Friends
“As we move into 2017, Baidu’s strategic evolution from a mobile-first to an AI-first company continues to gain momentum.” ~ Robin Li, Chairman and CEO of Baidu.
Baidu is leading the AI revolution in the mainland with huge investments, collaborations, and acquisitions. Have a look at Baidu’s AI initiatives (focusing on 2017) in the backdrop of the new guidelines by the Chinese government in this article by Prableen Bajpai (Nasdaq).
Inbound marketing and sales company HubSpot has acquired Kemvi, a fledgling startup that uses artificial intelligence (AI) and machine learning to automatically extract information from websites, press releases, blog posts, and SEC filings in order to serve sales reps key insights into prospects.
The company’s DeepGraph engine targets B2B companies with learning algorithms that can extract meaningful information and insights from any piece of digital text and then merge that with data and knowledge from companies’ own internal sales and marketing teams to forecast buyers’ behavior.
As a result of its acquisition, Kemvi’s technology will be integrated into HubSpot CRM, enabling salespeople to automate some of their research into prospects.
Yesterday, Google’s Launchpad is announcing a new hands-on Studio program to feed hungry AI startups the resources they need to get off the ground and scale.
The Launchpad Studio aims to address the needs of data-hungry AI startups head-on with specialized data sets, simulation tools, and prototyping assistance. Another selling point of the Launchpad Studio is that startups accepted will have access to Google talent, including engineers, IP experts, and product specialists. If you’re interested you can apply here.
Last week, OpenAI released a new class of reinforcement learning algorithms, Proximal Policy Optimization (PPO), which perform comparably or better than state-of-the-art approaches while being much simpler to implement and tune. PPO has become
the default reinforcement learning algorithm at OpenAI because of its ease of use and good performance.
PPO lets them train AI policies in challenging environments, like the Roboschool one shown above where an agent tries to reach a target (the pink sphere), learning to walk, run, turn, use its momentum to recover from minor hits, and how to stand up from the ground when it is knocked over.
In this post, Murat Vurucu tries to explain a method of machine learning called Evolving Neural Networks through Augmenting Topologies (NEAT). This method describes algorithmic concepts of self-learning machines that are inspired by genetic modification in the process of evolution. Check out the article for the nitty gritty details.
He says that NEAT is great at solving complex problems by dividing them into smaller problems that can be optimised. NEAT agents could be developed for many different individual tasks and afterwards join to solve more complex problems. An example could be using NEAT for the creation of new pharmacy by firstly laying out all atoms that can be used, by secondly, defining a fitness function that makes the simulation understand the reward system and by finally defining the rules of evolution.