News from the AI & ML world
DeeperML - #ibm
|
Sophia Chen@technologyreview.com
//
IBM has announced ambitious plans to construct a large-scale, error-corrected quantum computer, aiming for completion by 2028. This initiative, known as IBM Quantum Starling, represents a significant step forward in quantum computing technology. The project involves a modular architecture, with components being developed at a new IBM Quantum Data Center in Poughkeepsie, New York. IBM hopes to make the computer available to users via the cloud by 2029.
The company's approach to fault tolerance involves a novel architecture using quantum low-density parity check (qLDPC) codes. This method is projected to drastically reduce the number of physical qubits required for error correction, potentially cutting overhead by around 90% compared to other leading codes. IBM says it's cracked the code to quantum error correction and this will significantly enhance the computational capability of the new machine compared to existing quantum computers. IBM also released two technical papers outlining how qLDPC codes can improve instruction processing and operational efficiency, and describes how error correction and decoding can be handled in real-time using classical computing resources. IBM anticipates that Starling will be capable of executing 100 million quantum operations using 200 logical qubits. This lays the foundation for a follow-up system, IBM Quantum Blue Jay, which will operate with 2,000 logical qubits and run 1 billion operations. According to IBM, storing the computational state of Starling would require memory exceeding that of a quindecillion (10⁴⁸) of today’s most powerful supercomputers. This project aims to solve real-world challenges and unlock immense possibilities for business in fields such as drug development, materials science, chemistry, and optimisation. Recommended read:
References :
staff@insideAI News
//
IBM has announced several key initiatives to bolster its AI capabilities, including the launch of watsonx AI Labs in New York City and the acquisition of Seek AI. The watsonx AI Labs is designed as a developer-first innovation hub to accelerate AI adoption and development at scale. This new lab, located in Manhattan at IBM’s offices at One Madison, will connect IBM's enterprise resources with the next generation of AI developers to co-create AI solutions. The lab will unite IBM researchers and engineers with startups, scale-ups, and large enterprises to unlock real-world value from their AI investments, fostering a collaborative environment for advancing agentic AI tools.
IBM's commitment to the AI ecosystem extends to nurturing talent and supporting the vibrant tech community in New York City. The city, recognized as a global AI hub, boasts over 2,000 AI startups and has seen its AI workforce grow significantly. IBM’s investment in the watsonx AI Labs underscores its dedication to responsible and cutting-edge AI development. Ritika Gunnar, General Manager, Data & AI, IBM, emphasized that the lab will provide AI developers with access to world-class engineers and resources, enabling them to build new businesses and applications that will reshape AI for the enterprise. To further enhance its AI capabilities, IBM has acquired Seek AI, a New York City-based startup specializing in natural language AI for enterprise data inquiries. Seek AI's technology, which translates natural language questions into database queries, will be integrated into watsonx AI Labs. This acquisition will empower businesses to leverage agentic AI to extract value from their data. Seek AI’s team will relocate to One Madison, joining IBM's new Manhattan offices, and will contribute its expertise to expanding the platform and implementing solutions for IBM clients. The acquisition will further accelerate IBM’s efforts to improve AI trust and security through responsible AI governance. Recommended read:
References :
staff@insideAI News
//
IBM has launched watsonx AI Labs, a developer-first innovation hub located in New York City. The new lab is designed to accelerate the adoption of AI at scale by connecting IBM's enterprise resources and expertise with AI developers focused on building AI applications for business. Located in Manhattan at IBM's new offices at One Madison, watsonx AI Labs aims to connect IBM’s network of engineering labs, bringing together IBM researchers and engineers in a collaborative hub for co-creating and advancing agentic AI solutions.
The watsonx AI Labs is intended to co-create generative AI solutions with IBM clients, nurture AI talent within New York City, and advance enterprise AI implementations. IBM plans to work with startups, scale-ups, and enterprises to discover AI value through this initiative. New York City has a growing AI ecosystem, with more than 2,000 AI startups and an AI workforce that grew by almost 25% from 2022 to 2023. Since 2019, over 1,000 AI-related companies in New York City have collectively raised $27 billion in funding. As part of its investment in AI and commitment to the local startup ecosystem, IBM also announced the acquisition of Seek AI. Seek AI is a New York City-based startup that specializes in building AI agents that leverage enterprise data, providing businesses with a natural language interface to query and analyze corporate data stores. Seek AI's expertise will be integrated into watsonx AI Labs, helping businesses leverage agentic AI to extract value from their data and improve data analysis and summarization capabilities. Recommended read:
References :
@infoworld.com
//
IBM is expanding its artificial intelligence offerings with a major initiative focused on agentic AI, unveiled at the THINK 2025 conference. The company is introducing a suite of domain-specific AI agents and tools designed to help enterprises move beyond basic AI assistants and embrace more sophisticated, autonomous AI agents. These agents can be integrated using watsonx Orchestrate, a framework added to IBM's integration portfolio. The goal is to make it easier for businesses to build, deploy, and benefit from AI agents in real-world applications.
IBM's new agentic AI capabilities include an AI Agent Catalog, offering a centralized hub for pre-built agents, and Agent Connect, a partner program for third-party developers. Domain-specific agent templates for sales, procurement, and HR are also being provided, along with a no-code agent builder for business users and an agent development toolkit for developers. A multi-agent orchestrator enables agent-to-agent collaboration, and Agent Ops (in private preview) offers telemetry and observability. The core aim is to bridge the gap between AI experimentation and tangible business benefits. IBM CEO Arvind Krishna believes that over a billion new applications will be built with generative AI in the coming years, emphasizing AI's potential to drive productivity, cost savings, and revenue scaling. IBM's initiative directly addresses the challenges enterprises face in achieving a return on investment from their AI projects, including data silos and hybrid infrastructure complexities. These new tools and integration capabilities intend to facilitate AI agent adoption across various vendors and platforms. Recommended read:
References :
@www.bigdatawire.com
//
Dataminr and IBM are making significant strides in leveraging agentic AI to enhance security operations. Dataminr has introduced Dataminr Intel Agents, an autonomous AI capability designed to provide contextual analysis of emerging events, threats, and risks. These Intel Agents are part of a broader AI roadmap aimed at improving real-time decision-making by providing continuously updated insights derived from public and proprietary data. This allows organizations to respond faster and more effectively to dynamic situations, sorting through the noise to understand what matters most in real-time.
IBM is also delivering autonomous security operations through agentic AI, with new capabilities designed to transform cybersecurity operations. This includes driving efficiency and precision in threat hunting, detection, investigation, and response. IBM is launching Autonomous Threat Operations Machine (ATOM), an agentic AI system designed for autonomous threat triage, investigation, and remediation with minimal human intervention. ATOM is powered by IBM's Threat Detection and Response (TDR) services, leveraging an AI agentic framework and orchestration engine to augment existing security analytics solutions. These advancements are critical as cybersecurity faces a unique moment where AI-enhanced threat intelligence can give defenders an advantage over evolving threats. Agentic AI is redefining the cybersecurity landscape, creating new opportunities and demanding a rethinking of how to secure AI. By automating threat hunting and improving detection and response processes, companies like Dataminr and IBM are helping organizations unlock new value from security operations and free up valuable security resources, enabling them to focus on high-priority threats. Recommended read:
References :
|
BenchmarksBlogsResearch Tools |