19-20 OCTOBER 2021
Deep Learning Summit Toronto 2021 is a two-day event to be held on the 19th and 20th of October. The event aims at combining high-end technologies with real-world problems to solve the challenges faced by society. Academia and industry will come together to share case studies and highlight AI-based solutions for businesses. The program is an opportunity to learn from leading AI practitioners, to collaborate, and make connections with a broad range of attendees.
03-04 NOVEMBER 2021
The AI summit Silicon Valley 2021 in Santa Clara Convention Center, California is going to be one of the largest artificial intelligence in partnership with IoT World Silicon Valley. The event will be covering end-to-end intelligence processes, Research and Development (R&D), Return on Investment (ROI), Proof Of Concept (POC) to production, scaling intelligence, and innovation acceleration.
In the past few years, the Pentagon has raised concerns, for the United States and its allies, over China and Russia as potential military threats. This insightful book by defense expert Michael O’Hanlon determines that local crises could pose a threat to peace and details the measures the United States needs to employ to deter risks. In particular, the author discusses the concept of “integrated deterrence” which combines military options with economic measures.
This book is available on Amazon.
The World AI Show is a virtual conference focused on innovating the tech-driven future of Singapore through governance initiatives and technology. The event will bring together AI thought leaders, CEOs, CTOs, CIOs, Heads of Innovation, AI & ML experts, and Chief Digital Officers to discuss post-crisis transformation plans. Get yourself registered to witness usecase presentations, panel discussions, tech talks, and workshops that can help you understand the latest trends in AI.
Atlas of AI” by Kate Crawford highlights the hidden costs of Artificial Intelligence, from labor and privacy to natural resources. The book reveals how AI has been used by undemocratic governments to monitor and surveil their citizenry. Instead of discussing AI algorithms or deep technical details, the book focuses on political and material perspectives and the downside risk AI poses in potentially centralizing and concentrating power in the hands of a few.