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As we enter December, mark the end of the year and begin to look ahead at what lies ahead for the tech industry as we approach 2023, experts from a range of companies have shared their predictions, insights and even a look at emerging innovations. .
Even in the midst of a possible recession, it is clear that experts in artificial intelligence (AI) expect innovation to continue, especially when it comes to generative AI. In fact, this week, Nvidia CEO Jensen Huang shared insights on the extensive use cases generative AI can bring to the metaverse, including the growing demand to populate the virtual world with 3D and graphics assets.
Related OpenAI, the company behind generative AI tools DALL-E and GPT-3, noted this week that it is working on a new AI-powered language model that will become part of the GPT-3 family. Reportedly, the model, GPT-3.5, will handle more complex instructions and in turn produce higher quality results.
AI advances in the medical field also made headlines this week. Nvidia has announced that it is working to better integrate AI models into clinical workflows and is also pushing for simplicity in medical imaging – an area that Harvard Medical School’s AI research team is also working on separately.
With the many technological developments in various sectors, discussions about cybersecurity vulnerabilities are also emerging. 2022 was a year of many wins and concerns for IT and security professionals as well. Just as a Twitter API breach exposed the information of 5.4 million users, which was recently made available for free by hackers, security remains an ever-changing landscape with rapidly changing goals. To understand the top threats, VentureBeat spoke with 31 CISOs from the likes of Google, IBM, Microsoft, AWS and dozens more about what they’re paying close attention to in the new year.
Here’s more from our top 5 tech stories of the week:
- How generative AI can create resources for the metaverse
Jensen Huang, CEO of AI and graphics chipmaker Nvidia, believes generative AI will be transformational and it’s just getting started. One of the biggest applications could be with the metaverse, which has huge content demands as developers need to populate virtual worlds with 3D assets. Companies like Stable Diffusion, Promethean AI, and Ludo AI use these technologies to automatically generate artwork and other assets for gaming and metaverse applications.
Many metaverse companies hope that generative AI will help provide them with the resources to help them build their world. Huang believes you’ll see progress as you enter more and more prompts – such as text to flesh out a concept – and the concept images get better and better.
- OpenAI introduces ChatGPT and GPT-3.5 series as GPT-4 rumors spread
While GPT-4 rumors are flying around NeurIPS 2022 in New Orleans this week (including rumors that details about GPT-4 will be revealed there), OpenAI has managed to make a lot of news in the meantime.
On Monday, the company announced a new model in its GPT-3 family of AI-powered large language models (LLMs), text-davinci-003, part of what it calls the “GPT-3.5 series,” which it reportedly replaced its predecessors. by handling more complex instructions and producing longer, higher quality content.
- Vulnerability Twitter API exposes data of 5.4 million users
In July of this year, cybercriminals began selling the user data of more than 5.4 million Twitter users on a hacking forum after exploiting an API vulnerability revealed in December 2021.
Recently, a hacker released this information for free, just as other researchers reported a breach that affected millions of accounts in the EU and US.
- The future of AI and medical imaging, from Nvidia to Harvard
Nvidia announced this week at the annual meeting of the Radiology Society of North America (RSNA) that MONAI, an open-source AI framework for medical imaging accelerated by Nvidia, makes it easier to integrate AI models into clinical workflows with MONAI Application Packages (MAPs), delivered through MONAI Deploy.
Nvidia and King’s College London introduced MONAI in April 2020 to simplify AI workflows for medical imaging. This helps convert raw image data into interactive digital twins to enhance analysis or diagnostics or guide surgical instruments. The development and adoption of the platform now has more than 600,000 downloads, half of them in the past six months.
- 31 CISOs share their security priorities and predictions for 2023
2022 was a pivotal year in the cyber threat landscape. Securing the software supply chain and open-source software ecosystem, implementing zero trust, and educating employees about the risks of social engineering and phishing attempts are just a few of the areas CISOs evaluate to mitigate potential risks.
Executives from Google, Microsoft, AWS, IBM and more told VentureBeat what they predict for the cybersecurity industry in the year ahead and what’s top of mind for them going forward.
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