An IoT-enabled system for transporting dairy products earned its designers the top prize in a competition run by Cisco. The Global Problem Solver Challenge, which is one of Cisco's corporate social responsibility (CSR) initiatives, pays cash awards to entrepreneurial companies using technology to solve the world's biggest challenges. The program also gives out four $25,000 awards and seven $10,000 prizes. This year, I was honored to be invited to help judge the 2020 winners. In full disclosure, I agreed to be a judge but I received no compensation, as I believe we all have to work together to make the world a better place.
Let's learn how to implement ClickModels in order to extract Relevance from clickstream data. These steps tend to be what is already necessary for implementing an effective enough search engine system for a given application. Eventually, the requirement to upgrade the system to deliver customized results may arise. Doing so should be simple. One could choose from a set of machine learning ranking algorithms, train some selected models, prepare them for production and observe the results.
News, views and top stories in your inbox. Don't miss our must-read newsletter It's been dubbed the'Fourth Industrial Revolution', but it seems that the impact of artificial intelligence may need a bigger conversation than many of us realise. Speaking at a briefing in London ahead of the British Science Festival, Professor Jim Al-Khalili, the incoming president of the British Science Association, warned that AI will affect issues such as climate change, and even terrorism . He said: "Until maybe a couple of years ago had I been asked what is the most pressing and important conversation we should be having about our future, I might have said climate change or one of the other big challenges facing humanity, such as terrorism, antimicrobial resistance, the threat of pandemics or world poverty. "But today I am certain the most important conversation we should be having is about the future of AI.
When I started my Data Science journey,few terms like ensemble,boosting often popped up.Whenever I opened the discussion forum of any Kaggle Competition or looked at any winner's solution,it was mostly filled with these things. At first these discussions sounded totally alien,and these class of ensemble models looked like some fancy stuff not meant for the newbies,but trust me once you have a basic understanding behind the concepts you are going to love them! So let's start with a very simple question,What exactly is ensemble? "A group of separate things/people that contribute to a coordinated whole" In a way this is kind of the core idea behind the entire class of ensemble learning! Well let's rewind the clocks a bit and go back to the school days for a while, remember you used to get a report card with an overall grade.Well how exactly was this overall grade calculated,your teachers of respective subjects gave some feedback based on their set of criteria,for example your math teacher would assess you on his own criteria like algebra,trigonometry etc, sports teacher would judge you how you perform on the field,your music teacher would judge on you vocal skills.Point being each of these teachers have their own set of rules of judging the performance of a student and later all of these are combined to give an overall grade on the performance of the student.
TWO student teams are representing Malaysia in an ongoing international Artificial Intelligence (AI) competition. And one of them is from Curtin University Malaysia. The third annual Asia Pacific High Performance Computing – Artificial Intelligence (APAC HPC-AI) Competition is running from May 20 to Oct 15 and is co-organised by the HPC-AI Advisory Council and the Singapore National Supercomputing Centre. This year's edition of the competition encourages international teams in the Asia Pacific to showcase their mastery of high-performance computing and AI expertise in a friendly yet spirited competition that builds critical skills, professional relationships, competitive spirit and lifelong camaraderie. Held remotely, the competition is seeing a record number of teams – 30 in total – comprising undergraduate and graduate competitors from some of the region's leading academic institutions.
Wouldn't you like to know what your children would look like? In this post I'll take about FamilyGan. It's a project my friends and I worked on during DataHack 2019, which won the Lightricks challenge. This idea began as a joke, but while reading some relevant literature, we got the feeling that the data and technology are out there. There are many datasets including pictures of fathers and sons, or mothers and daughters.
What if I told a story here, how would that story start?" Thus, the summarization prompt: "My second grader asked me what this passage means: …" When a given prompt isn't working and GPT-3 keeps pivoting into other modes of completion, that may mean that one hasn't constrained it enough by imitating a correct output, and one needs to go further; writing the first few words or sentence of the target output may be necessary.
Now is a particularly opportune time to drive towards this goal. As the world moves towards a COVID-19 post-pandemic recovery, the UN has called on governments to heed the "unprecedented wake-up call" and "build back better" by creating more sustainable, resilient and inclusive societies. There are two approaches to Green AI – using AI to solve sustainability challenges and using AI in a more sustainable way. How can AI solve sustainability challenges? Delivering societal and environmental well-being through AI are key strategic considerations of the European Commission, who acknowledge that "AI systems promise to help [tackle] the most pressing concerns, including climate change and environmental degradation".