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Category: robotics/AI – Page 621

AI is intelligent, but that doesn’t mean it’s smart | Dr. Melanie Mitchell

AI expert Melanie Mitchell shares her take on artificial intelligence—especially what it means to be “intelligent” to begin with.

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Dr. Melanie Mitchell, a leading expert in artificial intelligence, examines the mounting fears surrounding AI, especially as these systems achieve increasingly human-like conversational abilities. She warns that these fears, if unchecked, could lead to overregulation and reduced transparency, making AI less safe and beneficial in the long run.

Mitchell explains that true intelligence, including human intelligence, involves social awareness and understanding the broader impact of actions—capabilities current AI doesn’t have. According to Mitchell, the idea of a superintelligent AI pursuing harmful goals is unrealistic; AI’s capabilities, she says, are still very far from this scenario.

Mitchell also introduces \.

Transforming Contract Management In Banking And Enterprises With Generative AI

At Impactsure Technologies, we’ve helped clients of banks generate guarantees and contracts through preapproved clauses in a matter of a few seconds without the need to go through a complex process of vetting that would have otherwise taken many days. It not only enhances the customer experience but also makes it easier to manage the processes efficiently. The clients are able to manage their contracts well, manage the content, ensure appropriate vetting and scrutiny are done effectively, manage the timelines, and incorporate the electronic signing options in a seamless way.

As contract management complexities continue to increase in the banking and enterprise sectors, the adoption of GenAI emerges as strategically crucial for organizations seeking to enhance operational efficiency, mitigate risks and maintain regulatory compliance. By harnessing the power of AI-driven automation, banks and enterprises can streamline contract processes, optimize resource utilization and confidently navigate the complicated legal landscape.

A combination of GenAI, NLP and ML represents a paradigm shift in contract management, empowering banks and enterprises to easily manage the complexities of the modern business environment with agility and resilience. By embracing AI-driven solutions, organizations can unlock new opportunities for growth, innovation and sustainable success in an increasingly competitive and rapidly evolving environment.

Google bets big on ‘mini’ nuclear reactors to feed its AI demands

“The grid needs new electricity sources to support AI technologies that are powering major scientific advances, improving services for businesses and customers, and driving national competitiveness and economic growth,” Google Senior Director for Energy and Climate Michael Terrell, said in a statement.

“This agreement helps accelerate a new technology to meet energy needs cleanly and reliably, and unlock the full potential of AI for everyone,” Terrell added.

Spin-wave reservoir chips can enhance edge computing

Reservoir computing (RC) has a few benefits over other artificial neural networks, including the reservoir that gives this technique its name. The reservoir functions mainly to nonlinearly transform input data more quickly and efficiently. Spin waves, propagating wave-like disturbances arising from magnetic interactions, can traverse through a material. These excitations are driven by the spin of electrons.

Nu Quantum Unveils Qubit-Photon Interface to Enable Distributed Quantum Computing Networks

CAMBRIDGE, England, Oct. 15, 2024 — Nu Quantum has announced a proof-of-principle prototype that advances the development of modular, distributed quantum computers by enabling connections across different qubit modalities and providers. The technology, known as the Qubit-Photon Interface, functions similarly to Network Interface Cards (NICs) in classical computing, facilitating communication between quantum computers over a network and supporting the potential growth of quantum infrastructure akin to the impact NICs have had on the Cloud and AI markets.

For quantum computers to achieve practical applications—such as accurately simulating atomic-level interactions—they must scale to 1,000 times their current size. This will require a shift from single quantum processing units (QPUs) to distributed quantum systems composed of hundreds of interconnected QPUs, operating at data center scale, similar to cloud and AI supercomputers.

The efficient transfer of quantum information between matter and light at the quantum level is the biggest challenge to scaling quantum computers, and this is the specific issue that the QPI addresses.

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