Google-led paper pushes back against claims of AI inefficiency

Google this week pushed back against claims by earlier research that large AI models can contribute significantly to carbon emissions. In a paper coauthored by Google AI chief scientist Jeff Dean, researchers at the company say that the choice of model, datacenter, and processor can reduce carbon footprint by up to 100 times and that “misunderstandings” about the model lifecycle contributed to “miscalculations” in impact estimates.

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[Paper] Google’s 1.3 MiB On-Device Model brings high-performance Disfluency Detection down to size

Googles 1.3 MiB On-Device Model Brings High-Performance Disfluency Detection Down to Size

AI Google Research proposes small, fast, on-device disfluency detection models based on the BERT architecture. Smallest model size is only 1.3 MiB, representing a size reduction of two orders of magnitude and an inference latency reduction of a factor of eight compared to state-of-the-art BERT-based models.

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Vectra AI picks up $130M at a $1.2B valuation for its network approach to threat detection and response

Vectra AI

Cybersecurity nightmares like the SolarWinds hack highlight how malicious hackers continue to exploit vulnerabilities in software and apps to do their dirty work. Today a startup that’s built a platform to help organizations protect themselves from this by running threat detection and response at the network level is announcing a big round of funding to continue its growth. Vectra AI, which provides a cloud-based service that uses artificial intelligence technology to monitor both on-premise and cloud-based networks for intrusions, has closed a round of $130 million at a post-money valuation of $1.2 billion.

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RapidDeploy raises $29M for a cloud-based dispatch platform aimed at 911 centers

Rapid Deploy

RapidDeploy, which provides computer-aided dispatch technology as a cloud-based service for 911 centers, has closed a round of $29 million, a Series B round of funding that will be used both to grow its business, and to continue expanding the SaaS tools that it provides to its customers. In the startup’s point of view, the cloud is essential to running emergency response in the most efficient manner.

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AI in Banking will reach US$48 billion by 2025

Banking in AI graphic

Analytics Insight predicts that the Global Artificial Intelligence market revenue in the Banking sector will touch a whopping USD48.3 billion by 2025 compared to USD13.7 billion in 2019 growing at a CAGR of 28.6% during the forecast period, 2019-2024. The BFSI sector has always been resistant to changes, especially concerning technologies. However, there has been a surge in AI adoption across the financial sector in recent years, which has redefined the operations and processes in the industry.

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