Unprecedented advancements in technology and the growing complexity of the world's research challenges demand novel approaches to discovery and innovation. One way for leaders in STEM to stay ahead of this curve is by attending the nation's top tech conferences. These conferences are an excellent chance for STEM professionals to develop valuable connections, exchange groundbreaking ideas, share best practices, and learn new skills while staying abreast of emerging trends and practices in the ever-evolving technology landscape. However, with dozens of conferences to choose from, it can be challenging to select the right one for your organization. And, with the emergence of the COVID-19 global pandemic, it has become difficult to accurately plan for future events.

The world famous Deep Learning Summit is returning to London for the 5th year, this time joined by the AI Assistant Summit and the AI in Retail and Advertising Summit. One pass provides access to all three events, plus the Deep Dive track. Confirmed speakers from Google, ASOS, DeepMind, Facebook AI Research, NASA, Amazon and more will come together to share the most cutting edge work in their space, bridging the gap between the latest technological research advancements and real world applications in business and society. Across the two day event, 90 speakers and 600 attendees will explore topics such as neural networks, machine learning, deep learning algorithms, speech recognition, robotics, personalised recommendation systems, image retrieval, reinforcement learning and more. Presentations from across the board touch on business case studies and research progressions, and the majority of attendees will spend time in all session rooms to expand their knowledge and find out how to apply AI in novel ways.

As teams apply optimization earlier and more frequently in the modeling process, they develop high-performing models at a faster pace. This virtuous cycle increases the number of models that make it into production, which amplifies the impact of these models on the business. At the Deep Learning Summit in San Francisco, SigOpt will be showcasing their model optimization software and how they automate model tuning to accelerate the model development process and amplify the impact of models in production at scale. We spoke to Nick Payton, B2B Marketing Lead at SigOpt to learn more. SigOpt's mission is to empower experts.

The Deep Learning Summit is returning to Toronto from October 25 – 26, 2018 and will cover the latest advancements in deep learning technology. Global leaders in the field will address how industry leaders and start-ups are applying deep learning techniques across industry and society. The first ever AI for Government Summit, another event stream, will provide a unique opportunity to interact with government bodies, policymakers, strategists and directors of innovation to explore the use of machine learning to increase efficiency, reduce costs and meet the high demands of the public sector. What's more, the Canadian Government have committed over $125 million to AI developments. Headline partners include Accenture, Qualcomm, Graphcore AI and CBC/Radio Canada who will all be sharing their expertise in the field, participating in workshops, discussions, presentations, demonstrations and exhibitions.

Today is International Women's Day, and we're celebrating by highlighting some of the leading ladies in AI, machine learning and deep learning who have spoken at RE•WORK Summits and dinners over the past 12 months. Whilst the technology industry is seeing more and more women in top roles, the gender imbalance is still clear. At RE•WORK, we're passionate about encouraging women and girls into STEM and are proud to host our series of dinners and our Podcast celebrating women in AI. Earlier this year we hosted the AI Assistants Summit in San Francisco, where 50% of our speakers were women. This was a fantastic showcase of diversity, and we are striving to have more and more female experts presenting at our Summits.

Here are 90 upcoming meetings and conferences, for January 2018 and beyond. You can also find the latest list on KDnuggets Meetings page Most popular topics: AI/Artificial Intelligence, 23 top countries: top cities: Toronto, Stockholm: 4 Color code: Business-Oriented meetings in Blue, Research meetings (with calls for papers and program committee) in green January 2018 Americas: Jan 17-19, BAFI 2018: 3rd Conf. on Business Analytics in Finance and Industry. Use code KDNUGGETS to save. Feb 8, AI Evolution brings together experts, developers, technologists, and business leaders. Feb 11-16, TDWI, 4 core learning tracks on Business Analytics & BI / Data Science / Data Management/ Data Strategy.

It's Christmas Day!! How many carol singers have you encountered so far this? Or how many times have you heard Michael Bublé on repeat? Whilst there's a new Christmas Number One every year, they're never particularly festive thanks to the X-Factor, and no one seems to be dedicating their time to creating a new generation of Christmas classics. What to do when humans are failing at a task? Last Christmas, Researchers from University of Toronto developed an AI system that composes and then sings a Christmas song through analysing an image that you upload.

As you plan your agenda, machine learning is undoubtedly a hot topic on your list. This year we have a lot of great technical content in the Machine Learning track, with over 50 breakout sessions, hands-on workshops, labs, and deep-dive chalk talks. You'll hear first-hand from customers and partners about their success with machine learning including Facebook, NVIDIA, TuSimple, Visteon, Matroid, Butterfleye, Open Infuence, Whooshkaa, Infor and Toyota Racing Development. This year we're hosting our inaugural Deep Learning Summit where thought leaders, researchers, and venture capitalists share their perspectives on the direction in which deep learning is headed. In addition you can take part in our deep-learning-powered Robocar Rally. Join the rally to get first-hand experience building your own autonomous vehicle and competing in an AI-powered race.

Anticipating user & business needs to alert & advise logical steps to increase efficiency. What impact will predictive intelligence have on business efficiency & personal organization?

The world of deep learning is dominated by academics and technology giants pumping thousands of dollars into their research and applications every day. There are so many real-world problems that can be solved by DL that huge corporations aren't solving. There are countless startups trying to solve an array of issues and improve efficiency in countless industries, and many of these fail - not due necessarily to a poor idea or execution, but they are often unfunded and understaffed. The startups with the really extraordinary ideas however, often secure funding from Venture Capitalists, in crowdfunding campaigns, or through awards or grants. The CEOs of these companies are not necessarily AI experts, but are experts in their own industry from artists, to healthcare professionals, scientists, retail managers and many more. At the Deep Learning Summit in London this September, we heard from four startups who are creating DL models in their businesses.