Friday, September 24, 2021

g-f(2)515 "g-f" fishing of golden knowledge (GK) of the fabulous treasure of the digital age, Artificial Intelligence (9/24/2021)

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"g-f" fishing of golden knowledge (GK) of the fabulous treasure of the digital ageArtificial Intelligence (9/24/2021)  g-f(2)426 


The 7 Biggest Artificial Intelligence (AI) Trends In 2022, Forbes 
    • In 2022, we will see artificial intelligence continue along the path to becoming the most transformative technology humanity has ever developed.
    • The full scale of the impact that giving machines the ability to make decisions – and therefore enable decision-making to take place far more quickly and accurately than could ever be done by humans – is very difficult to conceive right now. But one thing we can be certain of is that in 2022 breakthroughs and new developments will continue to push the boundaries of what’s possible. 
    • Here’s my pick of the key areas and fields where those breakthroughs will occur in 2022:
      1. The augmented workforce
      2. Bigger and better language modeling
      3. AI in cybersecurity
      4. AI and the Metaverse
      5. Low-code and no-code AI
      6. Autonomous vehicles
      7. Creative AI
    • The 7 Biggest Artificial Intelligence (AI) Trends In 2022, Bernard Marr, September 24, Forbes.

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    Opportunity, As Air Force adopts AI, it must also defend it, intelligence chief saysFEDSCOOP 
      • With the Air Force increasingly looking to develop algorithms for machine learning and artificial intelligence, it must also get serious about defending them from adversaries, the service’s top intelligence officer said.
      • While many senior officials across service have touted AI and ML as keys to a more effective, data-driven Air Force, there is currently is no organization within the Air Force that serves to defend the underlying algorithms once operational, Lt. Gen. Mary O’Brien, deputy chief of staff for intelligence, surveillance, reconnaissance and cyber effects operations, said Wednesday at the Air Force Association’s 2021 Air, Space & Cyber conference.
      • As Air Force adopts AI, it must also defend it, intelligence chief says, Billy Mitchell, September 22, 2021, FEDSCOOP.

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      Opportunity, Artificial Intelligence (AI) In Drug Discovery Global Market Report 2021: COVID-19 Growth And Change To 2030GLOBE NEWSWIRE, yahoo!sports 
        • The global artificial intelligence (AI) in drug discovery market is expected to grow from $0.36 billion in 2020 to $0.47 billion in 2021 at a compound annual growth rate (CAGR) of 30.6%. The growth is mainly due to the companies resuming their operations and adapting to the new normal while recovering from the COVID-19 impact, which had earlier led to restrictive containment measures involving social distancing, remote working, and the closure of commercial activities that resulted in operational challenges. The market is expected to reach $1.69 billion in 2025 at a CAGR of 38%.
        • The artificial intelligence (AI) in drug discovery market consists of sales of AI for drug discovery and related services. Artificial Intelligence (AI) for drug discovery is a technology that uses a simulation of human intelligence process by machines to tackle complex problems in the drug discovery process.
        • Artificial Intelligence (AI) In Drug Discovery Global Market Report 2021: COVID-19 Growth And Change To 2030, ReportLinker, September 24, 2021, GLOBE NEWSWIRE, yahoo!sports.

        Opportunity, Artificial Intelligence: The Future Of Cybersecurity?, Forbes 
          • The rise of Cyber Physical Systems (CPS), owing to exponential growth in technologies like the Internet of Things (IoT), artificial intelligence (AI), cloud, robots, drones, sensors, etc., is helping manufacturers improve efficiencies, productivity and the autonomous operation of production lines. 
          • Businesses are pouring billions of dollars in AI and automation, and the Industrial IoT (IIoT) alone is set to become a $500 billion market by 2025.
          • IT/OT convergence could spell disaster for industries.
            • Last year, 41% of all ransomware attacks targeted OT. IoT attacks soared by 700% (registration required) during the pandemic, while infected IoT devices grew 100%.
          • AI can help bolster industrial cybersecurity.
            • Cybersecurity in Industry 4.0 can't be tackled in the same way as that of traditional computing environments.
            • ML can make up for the lack of security teams. AI can help discover devices and hidden patterns while processing large amounts of data. ML can help monitor incoming and outgoing traffic for any deviations in behavior in the IoT ecosystem. If a threat or anomaly is detected, alarms can be sent to security admins warning them about the suspicious traffic.
            • AI and ML can be used to build lightweight endpoint detection technologies. 
            • AI and ML technologies are a double-edged sword. Threat actors can weaponize AI to automate things like target selection or attack timing to avoid detection. Deepfakes, human impersonation and AI-powered password guessing all pose a threat. 
            • To sum up, organizations must carefully consider the security implications to have a successful Industry 4.0 journey. As connected devices take over legacy technology, it becomes increasingly difficult to fight cyber threats without the intervention of advanced AI. 
            • AI has proven worthy in many different areas of our lives. It's not hard to imagine how AI can make a significant contribution in strengthening Industry 4.0 and perhaps beyond.
          • Artificial Intelligence: The Future Of Cybersecurity?, Steve Durbin, September 23, 2021, Forbes.

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          • [genioux fact deduced or extracted from geniouxfacts]
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            • Inherited from sources + Supported by the knowledge of one or more experts.


          “genioux facts”: The online programme on MASTERING “THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)515, Fernando Machuca, September 24, 2021,,, Corporation.


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