Artificial Intelligence (AI)
Claudionor Coelho, Chief AI Officer at Zscaler – Interview Series
Claudionor Coelho is the Chief AI Officer at Zscaler, responsible for leading his team to find new ways to protect data, devices, and users through state-of-the-art applied Machine Learning (ML), Deep Learning and Generative AI techniques. Prior to joining Zscaler, he served as Chief AI Officer and Senior Vice President of engineering at Advantest. Previously,…
Mapping the misuse of generative AI
Responsibility & Safety Published 2 August 2024 Authors Nahema Marchal and Rachel Xu New research analyzes the misuse of multimodal generative AI today, in order to help build safer and more responsible technologies Generative artificial intelligence (AI) models that can produce image, text, audio, video and more are enabling a new era of creativity and…
A platform to expedite clean energy projects
Businesses and developers often face a steep learning curve when installing clean energy technologies, such as solar installations and EV chargers. To get a fair deal, they need to navigate a complex bidding process that involves requesting proposals, evaluating bids, and ultimately contracting with a provider. Now the startup Station A, founded by a pair…
Bridging Reasoning and Action: The Synergy of Large Concept Models (LCMs) and Large Action Models (LAMs) in Agentic Systems
The advent of advanced AI models has led to innovations in how machines process information, interact with humans, and execute tasks in real-world settings. Two emerging pioneering approaches are large concept models (LCMs) and large action models (LAMs). While both extend the foundational capabilities of large language models (LLMs), their objectives and applications diverge. LCMs…
10 Top Women in AI in 2025 | DailyAI
AI is changing our world, but the stories of who build it often get lost in the noise. Behind the headlines and hype, a group of women are solving AI’s fundamental challenges – despite working in an industry persisently impacted by gender inequality. Women make up just 22% of AI professionals worldwide and only 12%…
Grace Yee, Senior Director of Ethical Innovation (AI Ethics and Accessibility) at Adobe – Interview Series
Grace Yee is the Senior Director of Ethical Innovation (AI Ethics and Accessibility) at Adobe, driving global, organization-wide work around ethics and developing processes, tools, trainings, and other resources to help ensure that Adobe’s industry-leading AI innovations continually evolve in line with Adobe’s core values and ethical principles. Grace advances Adobe’s commitment to building and…
A new generation of African talent brings cutting-edge AI to scientific challenges
Company Published 5 August 2024 Authors Obum Ekeke OBE, Head of Education Partnerships Food security, healthcare and exploring the cosmos are among the ways students of a new pan-African Master’s program aspire to apply AI At Google DeepMind, we’re committed to supporting the next generation of artificial intelligence (AI) leaders to help build a stronger,…
Making the art world more accessible
In the world of high-priced art, galleries usually act as gatekeepers. Their selective curation process is a key reason galleries in major cities often feature work from the same batch of artists. The system limits opportunities for emerging artists and leaves great art undiscovered. NALA was founded by Benjamin Gulak ’22 to disrupt the gallery…
Asymmetric Certified Robustness via Feature-Convex Neural Networks
Asymmetric Certified Robustness via Feature-Convex Neural Networks TLDR: We propose the asymmetric certified robustness problem, which requires certified robustness for only one class and reflects real-world adversarial scenarios. This focused setting allows us to introduce feature-convex classifiers, which produce closed-form and deterministic certified radii on the order of milliseconds. Figure 1. Illustration of feature-convex classifiers…
This AI Paper Explores Reinforced Learning and Process Reward Models: Advancing LLM Reasoning with Scalable Data and Test-Time Scaling
Scaling the size of large language models (LLMs) and their training data have now opened up emergent capabilities that allow these models to perform highly structured reasoning, logical deductions, and abstract thought. These are not incremental improvements over previous tools but mark the journey toward reaching Artificial general intelligence (AGI). Training LLMs to reason well…