Self-supervised learning could lead to the creation of AI that's more human-like in its reasoning, according to Turing Award winners Yoshua Bengio and Yann LeCun. Bengio, director at the Montreal Institute for Learning Algorithms, and LeCun, Facebook VP and chief AI scientist, spoke candidly about this and other research trends during a session at the International Conference on Learning Representation (ICLR) 2020, which took place online. Supervised learning entails training an AI model on a labeled data set, and LeCun thinks it'll play a diminishing role as self-supervised learning comes into wider use. Instead of relying on annotations, self-supervised learning algorithms generate labels from data by exposing relationships among the data's parts, a step believed to be critical to achieving human-level intelligence. "Most of what we learn as humans and most of what animals learn is in a self-supervised mode, not a reinforcement mode. It's basically observing the world and interacting with it a little bit, mostly by observation in a test-independent way," said LeCun.

April 30th, 2020, Delaware - The Business Intelligence Group today announced the winners of its inaugural Artificial Intelligence Excellence Awards program. This business awards program sets out to recognize those organizations, products and people who bring Artificial Intelligence (AI) to life and apply it to solve real problems. Nominations were received and winners were chosen in all four of the categories of AI including Reactive Machines, Limited Memory, Theory of Mind, and Self-Awareness. "We are so proud to name John Snow Labs as a 2020 winner in our Artificial Intelligence Excellence Awards program", said Maria Jimenez, chief nominations officer for Business Intelligence Group. "John Snow Labs wins our best AI product or service award thanks to exceptional success turning AI research into real & dependable systems for a global community. John Snow Labs has been chosen as a winner because it uniquely combines an end-to-end AI platform that is enterprise-grade in the most demanding sense of the term, with an impressive roster of customer success stories in this challenging field. As a result of its unique set of capabilities, the AI Platform has attracted a number of Fortune 500 companies who use it as the basis for their own enterprise AI platform (by extending, branding, and integrating it into the rest of their software architecture) – as well as small companies and start-ups who need to get to market fast with a proven, end-to-end solution. This AI Platform can be deployed on a new cluster in as little as two hours – although John Snow Labs bundles it with a longer onboarding session that includes training and personalized design & architecture sessions. John Snow Labs also offers turnkey services that combine licensing its AI Platform with custom development of machine learning, deep learning, or natural language processing models that address the needs of specific customers. Such projects are usually done by a joint team that combines data scientists & engineers from John Snow Labs and the customer team – so that in addition to getting to market quickly, the customer's team gains hands-on expertise and on-the-job training in using the platform on a daily basis. "We are honoured by this award and the industry recognition it represents.

Whether employers are currently operating as normal, teleworking, or planning for the future, the Covid-19 experience may lead them to turn to the proliferation of workplace artificial intelligence (AI) tools to help streamline recruiting and hiring so they can continue maintaining social distancing best practices. Employers should be aware, however, that using such AI tools brings with it various regulatory challenges regardless of its utility in these trying times. AI has been exerting an ever-growing influence on companies' employment decisionmaking for some time. AI tools that have long been used to market services and products to customers (e.g., algorithms for personalized pop-up ads) are making increasing inroads into the employment arena, including those that mine data from an applicant's social media and internet presence to determine personal attributes and those that evaluate an applicant's responses during a video interview in making employment decisions. Employers considering using AI recruitment and selection tools during the Covid-19 crisis, which some experts expect to last for months after the curve has "flattened," should be mindful of the potential for misuse and of discriminatory impact raised by these technologies.

Plants are intelligent beings with profound wisdom to impart--if only we know how to listen. And Monica Gagliano knows how to listen. The evolutionary ecologist has done groundbreaking experiments suggesting plants have the capacity to learn, remember, and make choices. Gagliano, a senior research fellow at the University of Sydney in Australia, talks to plants. Plants summon her with instructions on how to live and work. Some of Gagliano's conversations happened in prophetic dreams, which led her to study with a shaman in Peru while tripping on psychoactive plants. Along with forest scientists like Suzanne Simard and Peter Wohlleben, Gagliano raises profound scientific and philosophical questions about the nature of intelligence and the possibility of "vegetal consciousness." But what's unusual about Gagliano is her willingness to talk about her experiences with shamans and traditional healers, along with her use of psychedelics. For someone who'd already received fierce pushback from other scientists, it was hardly a safe career move to reveal her personal experiences in otherworldly realms. Gagliano considers her explorations in non-Western ways of seeing the world to be part of her scientific work.

Slate is making its coronavirus coverage free for all readers. Subscribe to support our journalism. I've been single for about two and a half years. Not unhappily so, but I keep a busy schedule that allows me time to go out and meet new people or to go on dates, but rarely both. Despite that, I've been able to maintain a rather pleasing love life, thanks in great part to the apps. Obviously, I haven't yet settled down with Mr. Right Enough just yet, but I've connected with great friends, met remarkable lovers, and explored both fleeting and long-term romance on my own terms.

If yes, then you've landed on the right 5 part blog series which will provide you with all the practical information that you will need to derive real life value from data.

"Supporting arrays, maps and structs allows customer to simplify data pipelines, unify more of their semi-structured data with their data warehouse as well as maintain better real world representation of their data from relationships between entities to customer orders with item level detail. A good example is groups of cell phone towers that are used for one call while driving on the highway." I have interviewed Mark Lyons, Director of Product Management at Vertica. We talked about the new Vertica 10.0 What is your role at Vertica? Mark Lyons: My role at Vertica is Director of Product Management. I have a team of 5 product managers covering analytics, security, storage integrations and cloud.

AI explainability is one of the most significant barriers to its adoption -- but revealing the logic can take the human-machine relationship to the next level. The AI boom is upon us, but a closer look at specific use cases reveals a big barrier to adoption. In every vertical, businesses are struggling to make the most of AI's promise. This term refers to the fact that artificial intelligence and machine learning systems are infamously opaque. Most advanced AI models are black boxes that can't explain how they reached a specific decision.

Great to have you on the show, Ali. Thank you, Stephan, for having me here. It's a real pleasure to have me here. I listen to your podcast. It's great to be on it. It's great to have you on it. I've been trying to get you on this show for a while now. I'm really happy to have that finally come to pass. I'd love for our listeners to understand a bit more about the under the hood of Trendy Butler. How is this powered by an AI where all your competitors–the different subscription box companies–they seem to rely on human stylists, and you've got an AI? Most of them use a lot of AI to make their decision making. Except with us, we rely heavily on our AI. Obviously, there is still a stylist because as much as you could throw as many AIs as you want on to this, still there's an element of creativity that's needed for a person to be applying to this. You never could control, let's say the system picking an orange short with a purple shirt, you got to sometimes stop it. Most of it is actually done through our essentially wired AI system that picks these clothes for people now. The way it works under the hood, it's a little different from how others do it. I'm sure you heard of things like Stitch Fix, Trunk Club, and all these guys. The little difference is that, instead of having stylists being assisted by this AI to make these decisions, we do it the other way around. We have the AI make the decisions, and the stylists really look and see if they made these maybe improper decision making. The way it works, usually how people attack the problem or others attack the problem, is that each person they bring them up, and then look at the historical goals that they've… Because throughout the process when you signed up, you essentially are asked multiple questions. Those questions essentially help us guide our styling methods and questionnaires. The way we do it is we turn this process upside down. When we acquire a customer, we ask them a set of questions. Those questions could be from your sizing, your preference in patterns, the type of pants that you like. Then we go a little further, we look at your occupation, we look at your location, the location tells us a lot about you. That tells us the type of clothes that you want. If you send someone in Florida a heavy jacket, I'm sure they're not going to like it. The location makes a lot of sense. Occupation makes a lot of sense.

UST Global, a leading digital transformation solutions company, announced that it has won the 2020 most innovative AI application award for societal impact from Microsoft. UST Global has been a picture of consistency as the company has unlocked several technical accolades in its successive years. The AI Awards 2.0 is an initiative open to all Microsoft customers and partners who foster AI-led innovations to deliver meaningful impact. In 2019, UST Global had won an award for'Empowering Employees with AI' from Microsoft for delivering an AI-powered personal assistant to each employee. The award marks industry appreciation of UST Global's AI capabilities to build products that scale new heights in innovations in Artificial Intelligence.