AI Research
EY-Parthenon practice unveils neurosymbolic AI capabilities to empower businesses to identify, predict and unlock revenue at scale | EY
Jeff Schumacher, architect behind the groundbreaking AI solution, to steer EY Growth Platforms.
Ernst & Young LLP (EY) announced the launch of EY Growth Platforms (EYGP), a disruptive artificial intelligence (AI) solution powered by neurosymbolic AI. By combining machine learning with logical reasoning, EYGP empowers organizations to uncover transformative growth opportunities and revolutionize their commercial models for profitability. The neurosymbolic AI workflows that power EY Growth Platforms consistently uncover hundred-million-dollar+ growth opportunities for global enterprises, with the potential to enhance revenue.
This represents a rapid development in enterprise technology—where generative AI and neurosymbolic AI combine to redefine how businesses create value. This convergence empowers enterprises to reimagine growth at impactful scale, producing outcomes that are traceable, trustworthy and statistically sound.
EYGP serves as a powerful accelerator for the innovative work at EY-Parthenon, helping clients with their most complex strategic opportunities to realize greater value and transform their business, by reimagining their business from the ground up—including building and scaling new corporate ventures, or executing high-stakes transactions.
“In today’s uncertain economic climate, leading companies aren’t just adapting—they’re taking control,” says Mitch Berlin, EY Americas Vice Chair, EY-Parthenon. “EY Growth Platforms gives our clients the predictive power and actionable foresight they need to confidently steer their revenue trajectory. EY Growth Platforms is a game changer, poised to become the backbone of enterprise growth.”
How EY Growth Platforms work
Neurosymbolic AI merges the statistical power of neural networks with the structured logic of symbolic reasoning, driving powerful pattern recognition to deliver predictions and decisions that are practical, actionable and grounded in real-world outcomes. EYGP harnesses this powerful technology to simulate real-time market scenarios and their potential impact, uncovering the most effective business strategies tailored to each client. It expands beyond the limits of generative AI, becoming a growth operating system for companies to tackle complex go-to-market challenges and unlock scalable revenue.
At the core of EYGP is a unified data and reasoning engine that ingests structured and unstructured data from internal systems, external signals, and deep EY experience and data sets. Developed over three years, this robust solution is already powering proprietary AI applications and intelligent workflows for EY-Parthenon clients across the consumer product goods, industrials and financial services sectors without the need for extensive data cleaning or digital transformation.
Use cases for EY Growth Platforms
With the ability to operate in complex high-stakes scenarios, EYGP is driving a measurable impact across industries such as:
- Financial services: In a tightly regulated industry, transparency and accountability are nonnegotiable. Neurosymbolic AI enhances underwriting, claims processing and compliance with transparency and rigor, validating that decisions are aligned with regulatory standards and optimized for customer outcomes.
- Consumer products: Whether powering real-time recommendations, adaptive interfaces or location-aware services, neurosymbolic AI drives hyperpersonalized experiences at a one-to-one level. By combining learned patterns with structured knowledge, it delivers precise, context-rich insights tailored to individual behavior, preferences and environments.
- Industrial products: Neurosymbolic AI helps industrial conglomerates optimize the entire value chain — from sourcing and production to distribution and service. By integrating structured domain knowledge with real-time operational data, it empowers leaders to make smarter decisions — from facility placement and supply routing to workforce allocation tailored to specific geographies and market-specific conditions.
The platform launch follows the appointment of Jeff Schumacher as the EYGP Leader for EY-Parthenon. Schumacher brings over 25 years of experience in business strategy, innovation and digital disruption, having helped establish over 100 early growth companies. He is the founder of neurosymbolic AI company, Growth Protocol, the technology that EY has exclusive licensing agreement with.
“Neurosymbolic AI is not another analytics tool, it’s a growth engine,” says Jeff Schumacher, EY Growth Platforms Leader, EY-Parthenon. “With EY Growth Platforms, we’re putting a dynamic, AI-powered operating system in the hands of leaders, giving them the ability to rewire how their companies make money. This isn’t incremental improvement; it’s a complete reset of the commercial model.”
EYGP is currently offered in North America, Europe, and Australia. For more information, visit ey.com/NeurosymbolicAI/
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About EY
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
All in to shape the future with confidence.
EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients. Information about how EY collects and uses personal data and a description of the rights individuals have under data protection legislation are available via ey.com/privacy. EY member firms do not practice law where prohibited by local laws. For more information about our organization, please visit ey.com.
This news release has been issued by EYGM Limited, a member of the global EY organization that also does not provide any services to clients.
View a PDF of the paper titled Robix: A Unified Model for Robot Interaction, Reasoning and Planning, by Huang Fang and 8 other authors
Abstract:We introduce Robix, a unified model that integrates robot reasoning, task planning, and natural language interaction within a single vision-language architecture. Acting as the high-level cognitive layer in a hierarchical robot system, Robix dynamically generates atomic commands for the low-level controller and verbal responses for human interaction, enabling robots to follow complex instructions, plan long-horizon tasks, and interact naturally with human within an end-to-end framework. Robix further introduces novel capabilities such as proactive dialogue, real-time interruption handling, and context-aware commonsense reasoning during task execution. At its core, Robix leverages chain-of-thought reasoning and adopts a three-stage training strategy: (1) continued pretraining to enhance foundational embodied reasoning abilities including 3D spatial understanding, visual grounding, and task-centric reasoning; (2) supervised finetuning to model human-robot interaction and task planning as a unified reasoning-action sequence; and (3) reinforcement learning to improve reasoning-action consistency and long-horizon task coherence. Extensive experiments demonstrate that Robix outperforms both open-source and commercial baselines (e.g., GPT-4o and Gemini 2.5 Pro) in interactive task execution, demonstrating strong generalization across diverse instruction types (e.g., open-ended, multi-stage, constrained, invalid, and interrupted) and various user-involved tasks such as table bussing, grocery shopping, and dietary filtering.
Submission history
From: Wei Li [view email]
[v1]
Mon, 1 Sep 2025 03:53:47 UTC (29,592 KB)
[v2]
Thu, 11 Sep 2025 12:40:54 UTC (29,592 KB)
AI Research
Brown awarded $20 million to lead artificial intelligence research institute aimed at mental health support
A $20 million grant from the National Science Foundation will support the new AI Research Institute on Interaction for AI Assistants, called ARIA, based at Brown to study human-artificial intelligence interactions and mental health. The initiative, announced in July, aims to help develop AI support for mental and behavioral health.
“The reason we’re focusing on mental health is because we think this represents a lot of the really big, really hard problems that current AI can’t handle,” said Associate Professor of Computer Science and Cognitive and Psychological Sciences Ellie Pavlick, who will lead ARIA. After viewing news stories about AI chatbots’ damage to users’ mental health, Pavlick sees renewed urgency in asking, “What do we actually want from AI?”
The initiative is part of a bigger investment from the NSF to support the goals of the White House’s AI Action Plan, according to a NSF press release. This “public-private investment,” the press release says, will “sustain and enhance America’s global AI dominance.”
According to Pavlick, she and her fellow researchers submitted the proposal for ARIA “years ago, long before the administration change,” but the response was “very delayed” due to “a lot of uncertainty at (the) NSF.”
One of these collaborators was Michael Frank, the director of the Center for Computational Brain Science at the Carney Institute and a professor of psychology.
Frank, who was already working with Pavlick on projects related to AI and human learning, said that the goal is to tie together collaborations of members from different fields “more systematically and more broadly.”
According to Roman Feiman, an assistant professor of cognitive and psychological sciences and linguistics and another member of the ARIA team, the goal of the initiative is to “develop better virtual assistants.” But that goal includes various obstacles to ensure the machines “treat humans well,” behave ethically and remain controllable.
Within the study, some “people work basic cognitive neuroscience, other people work more on human machine interaction (and) other people work more on policy and society,” Pavlick explained.
Although the ARIA team consists of many faculty and students at Brown, according to Pavlick, other institutions like Carnegie Mellon University, University of New Mexico and Dartmouth are also involved. On top of “basic science” research, ARIA’s research also examines the best practices for patient safety and the legal implications of AI.
“As everybody currently knows, people are relying on (large language models) a lot, and I think many people who rely on them don’t really know how best to use them, and don’t entirely understand their limitations,” Feiman said.
According to Frank, the goal is not to “replace human therapists,” but rather to assist them.
Assistant Professor of the Practice of Computer Science and Philosophy Julia Netter, who studies the ethics of technology and responsible computing and is not involved in ARIA, said that ARIA has “the right approach.”
Netter said ARIA approach differs from previous research “in that it really tried to bring in experts from other areas, people who know about mental health” and others, rather than those who focus solely on computer science.
But the ethics of using AI in a mental health context is a “tricky question,” she added.
“This is an area that touches people at a point in time when they are very, very vulnerable,” Netter said, adding that any interventions that arise from this research should be “well-tested.”
“You’re touching an area of a person’s life that really has the potential of making a huge difference, positive or negative,” she added.
Because AI is “not going anywhere,” Frank said he is excited to “understand and control it in ways that are used for good.”
“My hope is that there will be a shift from just trying stuff and seeing what gets a better product,” Feiman said. “I think there’s real potential for scientific enterprise — not just a profit-making enterprise — of figuring out what is actually the best way to use these things to improve people’s lives.”
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Mumbai: The BITS School of Management (BITSoM), under the aegis of BITS Pilani, a leading private university, will inaugurate its new BITSoM Research in AI and Innovation (BRAIN) Lab in its Kalyan Campus on Friday. The lab is designed to prepare future leaders for workplaces transformed by artificial intelligence, on Friday on its Kalyan campus.
While explaining the concept of the laboratory, professor Saravanan Kesavan, dean of BITSoM, said that the BRAIN Lab had three core pillars–teaching, research, and outreach. Kesavan said, “It provides MBA (masters in business administration) students a dedicated space equipped with high-performance AI computers capable of handling tasks such as computer vision and large-scale data analysis. Students will not only learn about AI concepts in theory but also experiment with real-world applications.” Kesavan added that each graduating student would be expected to develop an AI product as part of their coursework, giving them first-hand experience in innovation and problem-solving.
The BRAIN lab is also designed to be a hub of collaboration where researchers can conduct projects in partnership with various companies and industries, creating a repository of practical AI tools to use. Kesavan said, “The initial focus areas (of the lab) include manufacturing, healthcare, banking and financial services, and Global Capability Centres (subsidiaries of multinational corporations that perform specialised functions).” He added that the case studies and research from the lab will be made freely available to schools, colleges, researchers, and corporate partners, ensuring that the benefits of the lab reach beyond the BITSoM campus.
BITSoM also plans to use the BRAIN Lab as a launchpad for startups. An AI programme will support entrepreneurs in developing solutions as per their needs while connecting them to venture capital networks in India and Silicon Valley. This will give young companies the chance to refine their ideas with guidance from both academics and industry leaders.
The centre’s physical setup resembles a modern computer lab, with dedicated workspaces, collaborative meeting rooms, and brainstorming zones. It has been designed to encourage creativity, allowing students to visualise how AI works, customise tools for different industries, and allow their technical capabilities to translate into business impacts.
In the context of a global workplace that is embracing AI, Kesavan said, “Future leaders need to understand not just how to manage people but also how to manage a workforce that combines humans and AI agents. Our goal is to ensure every student graduating from BITSoM is equipped with the skills to build AI products and apply them effectively in business.”
Kesavan said that advisors from reputed institutions such as Harvard, Johns Hopkins, the University of Chicago, and industry professionals from global companies will provide guidance to students at the lab. Alongside student training, BITSoM also plans to run reskilling programmes for working professionals, extending its impact beyond the campus.
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