A quick selection of TOP AI news handpicked and provided to you.
Generated by AI? (spoiler: YES)
Generative AI Is Making Companies Even More Thirsty for Your Data
- Publication date: August 23, 2023
- Source name: Wired
- Summary: An interview with Mustafa Suleyman, cofounder of DeepMind and Inflection AI, on how generative AI tools are creating new opportunities and challenges for businesses and society.
- Key takeaways:
- Generative AI tools can create novel and valuable content such as product designs, marketing campaigns, or entertainment experiences.
- Generative AI tools also require large amounts of data to train and fine-tune their models, which can raise privacy and security issues.
- Generative AI tools can also disrupt existing industries and markets, creating winners and losers in the process.
- Why you should care: This article provides a visionary perspective on how generative AI tools will transform various domains and sectors and what implications they will have for individuals and organizations.
Use of AI Is Seeping Into Academic Journals—and It’s Proving Difficult to Detect
- Publication date: August 17, 2023
- Source name: Wired
- Summary: A report on how some researchers are using generative AI tools to create or enhance academic papers without proper disclosure or peer review, raising ethical and quality concerns.
- Key takeaways:
- Generative AI tools can produce realistic and coherent text, images, audio, or video from scratch or based on existing data.
- Some researchers are using these tools to generate or augment academic papers, either to save time, improve results, or deceive reviewers.
- There is no clear consensus or guideline on how to disclose or evaluate the use of generative AI tools in academic publishing.
- Why you should care: This article exposes a potential threat to the integrity and credibility of academic research and highlights the need for more transparency and accountability in the use of generative AI tools.
A New Attack Impacts ChatGPT—and No One Knows How to Stop It
- Publication date: August 1, 2023
- Source name: Wired
- Summary: A report on a new type of adversarial attack that can make popular chatbots such as ChatGPT and Bard behave erratically or maliciously by exploiting their inherent biases and limitations.
- Key takeaways:
- Adversarial attacks are methods that can fool or manipulate AI systems by feeding them specially crafted inputs that trigger unexpected or undesirable outputs.
- A new type of adversarial attack called semantic adversarial examples can make chatbots produce nonsensical, offensive, or harmful responses by using seemingly innocuous words or phrases that have hidden meanings or associations for the chatbots.
- There is no effective defense against this type of attack yet, as it exploits the fundamental flaws and gaps in the chatbots’ natural language understanding capabilities.
- Why you should care: This article reveals a serious vulnerability of chatbots that can compromise their reliability and trustworthiness and endanger their users and applications.
How AI brings greater accuracy, speed, and scale to microsegmentation
- Publication date: August 18, 2023
- Source name: VentureBeat
- Summary: A sponsored article on how AI can improve microsegmentation, a technique that divides a network into smaller segments based on various criteria to enhance security and performance.
- Key takeaways:
- Microsegmentation can help prevent unauthorized access, contain breaches, reduce attack surface, and optimize network traffic.
- However, microsegmentation can also be complex, costly, and time-consuming to implement and maintain manually.
- AI can automate and optimize microsegmentation by using data-driven insights, machine learning models, and natural language processing techniques.
- Why you should care: This article showcases how AI can solve a practical problem in network security and management and provide tangible benefits for businesses.
ChatGPT: Everything you need to know about the AI chatbot
- Publication date: August 24, 2023
- Source name: TechCrunch
- Summary: A comprehensive guide on ChatGPT, an AI-powered chatbot that can converse on various topics and domains, based on OpenAI’s GPT-3 language model.
- Key takeaways:
- ChatGPT can generate natural and engaging responses by using a large corpus of conversational data and a powerful neural network.
- ChatGPT can also adapt to different styles, tones, and personalities by using different parameters and settings.
- ChatGPT can be used for various purposes such as entertainment, education, customer service, or research.
- Why you should care: This article provides a detailed overview of ChatGPT’s features, capabilities, limitations, and applications, as well as some tips and best practices on how to use it effectively.
Age of AI: Everything you need to know about artificial intelligence
- Publication date: August 4, 2023
- Source name: TechCrunch
- Summary: A curated collection of articles, videos, podcasts, and events on artificial intelligence, covering its history, basics, trends, challenges, and opportunities.
- Key takeaways:
- Artificial intelligence is a broad and diverse field that encompasses various subfields such as machine learning, computer vision, natural language processing, robotics, etc.
- Artificial intelligence has made significant advances in recent years thanks to the availability of data, computing power, and algorithms.
- Artificial intelligence has many applications and implications across various domains and sectors such as health care, education, finance, entertainment, etc.
- Why you should care: This article provides a comprehensive and accessible resource for anyone who wants to learn more about artificial intelligence and stay updated on its latest developments and news.
Nvidia’s Q2 earnings prove it’s the big winner in the generative AI boom
- Publication date: August 23, 2023
- Source name: TechCrunch
- Summary: A report on Nvidia’s impressive Q2 earnings that beat analysts’ expectations and showed strong growth in its generative AI business segment.
- Key takeaways:
- Nvidia reported a revenue of $7.1 billion for Q2, up 68% year-over-year and above the consensus estimate of $6.5 billion.
- Nvidia’s generative AI segment accounted for $3.1 billion of the revenue, up 79% year-over-year and driven by the demand for its GPUs and software platforms for training and deploying generative AI models.
- Nvidia’s CEO Jensen Huang attributed the success to the company’s vision of creating a new computing era based on generative AI and accelerated computing.
- Why you should care: This article demonstrates how Nvidia is leading the generative AI market and how generative AI is becoming a key driver of innovation and growth for the company.
2023 Will Be A Defining Year For AI And The Future Of Work
- Publication date: January 25, 2023
- Source name: Forbes
- Summary: A prediction on how AI will transform the way we work and live in 2023, based on the insights from industry experts and leaders.
- Key takeaways:
- AI will help save time, streamline processes, access knowledge, and provide insights, but also personalize preferences and solve problems in real time.
- AI will enable new forms of collaboration, communication, and creativity, but also require new skills, mindsets, and ethics.
- AI will create new opportunities, roles, and industries, but also challenge existing ones and raise social and ethical issues.
- Why you should care: This article provides a glimpse of what the future of work will look like in 2023 and how AI will shape it.
The 5 Biggest Artificial Intelligence (AI) Trends In 2023
- Publication date: October 10, 2022 (a bit old but still relevant)
- Source name: Forbes
- Summary: A forecast on the major trends that will dominate the field of AI and machine learning in 2023, based on the analysis of the current state and direction of the technology.
- Key takeaways:
- AI will become more accessible, affordable, and democratized, thanks to the availability of cloud computing, open-source software, and low-code platforms.
- AI will become more explainable, trustworthy, and responsible, thanks to the development of frameworks, standards, and regulations that ensure its transparency, accountability, and fairness.
- AI will become more human-centric, empathetic, and emotional, thanks to the advancement of natural language processing, computer vision, and affective computing that enable it to understand and interact with humans better.
- AI will become more hybridized, integrated, and augmented, thanks to the combination of different types of AI such as symbolic AI, neural-symbolic AI, neuroevolutionary AI, etc.
- AI will become more generative, creative, and artistic, thanks to the improvement of generative adversarial networks (GANs), variational autoencoders (VAEs), transformers, etc.
- Why you should care: This article provides a comprehensive overview of the most important and exciting trends that will shape the future of AI and machine learning in 2023.
UK Artificial Intelligence (AI) Statistics And Trends In 2023
- Publication date: N/A
- Source name: Forbes
- Summary: A report on the current state and future outlook of the UK’s artificial intelligence industry and market in 2023, based on the data from various sources and surveys.
- Key takeaways:
- The UK is one of the global leaders in AI research and innovation, ranking third in the world for the number of AI publications and patents.
- The UK’s AI market is expected to grow by 42% annually from 2019 to 2023, reaching a value of £48.2 billion by 2023.
- The UK’s AI sector employs over 58,000 people and contributes £10.4 billion to the economy in 2019.
- The UK’s consumers are increasingly using and adopting AI products and services such as smart speakers, chatbots, streaming platforms, etc.
- The UK’s citizens have mixed feelings about AI’s impact on society and their lives. While most are optimistic about its benefits for health care, education, and entertainment, many are also concerned about its risks for privacy, security, and employment.
- Why you should care: This article provides a detailed snapshot of the UK’s artificial intelligence landscape and potential in 2023.