
Renowned mathematician Terry Tao explores AI's potential in advancing scientific and mathematical research, followed by a discussion with Po-Shen Loh on the future of AI in academia.

Explore the fascinating history of random walks in mathematics, from mosquito control to AI, and their impact on various fields including physics, finance, and theology.

Learn PHP fundamentals, from syntax and variables to OOP and MySQL. Build practical projects like a Todo app and Notes app while mastering key concepts and best practices.

Explore Azure's LUIS for natural language processing, covering prebuilt domains, custom models, entity types, sentiment analysis, and command-line tools to enhance NLP capabilities.

Explore digital signal processing fundamentals, including sampling, Fourier transforms, discrete systems, filters, and various transform techniques. Gain practical skills in filter design and implementation.

Build an interactive AI assistant using Python, Jarvis, and DialoGPT. Learn to implement voice input and output for a more natural conversational experience.

Explore smart beta and alpha strategies in finance with Milind Sharma, covering machine learning, deep learning, and portfolio construction techniques for modern quantitative investing.

Explore the fascinating world of small flying robots and swarms, their applications, and the cutting-edge research behind their development and autonomous capabilities.

Explore causal invariance in AI with Leon Bottou, delving into proxy problems, correlations, and environments to enhance prediction and address real-world challenges like hiring biases.

Explore personalization through machine learning, covering collaborative ranking, prediction, causal learning, and online learning techniques used in recommendation systems.

Explore a Nobel laureate's scientific journey, from childhood curiosity to groundbreaking discoveries in genetics, offering insights into the path of scientific excellence and innovation.

Explore the historical development of public key cryptography, including key contributors, breakthroughs, and challenges faced in its evolution from conventional methods to modern systems.

Explore the four waves of AI, its global economic impact, and potential challenges in this insightful talk by Kai-Fu Lee on the future of artificial intelligence and its pervasive influence.

Explore information theory, representation learning, and AI concepts with NYU's Stefano Soatto. Delve into information bottlenecks, mutual information, and disentangling in this advanced seminar on modern AI.

Explore reinforcement learning for trading wind power futures, covering energy security, market setup, and machine learning models in this NYU seminar by Bruno Kamdem.

Explore privacy challenges in the digital age with experts discussing accountability, disinformation, consumer protection, and the balance between convenience and data security.

Explore James-Stein estimation for minimum variance portfolios, addressing optimization bias and enhancing portfolio construction techniques in quantitative finance.

Experts discuss security challenges in NextG networks, exploring threats, detection, isolation, data exploitation, and privacy concerns while envisioning secure and efficient future communication infrastructures.

Explore IC layout security: proactive design hardening against adversarial activities in complex supply chains. Learn challenges, strategies, and implications for modern electronics.

Explore machine learning's impact on personalized healthcare, from disease subtyping to tailored interventions, with insights on mental health, respiratory diseases, and critical care settings.

Discover how a computer science degree can lead to diverse career paths, from Wall Street to economic development. Learn to leverage your skills for non-traditional roles and impactful projects.