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Microsoft Brings AI to Cyber Defense With Security Copilot
March 29, 2023
⚡ Today’s Highlights
📰 News: Microsoft is bringing AI to cyberdefense
💰 Funding: Perplexity AI, Ranovus, Fashinza, EDITED, and Hazy
🦾 Tools: AI-powered marketing optimization and interactive maps
📅 Events: The Google Data Cloud & AI Summit is today!
📰 Today's Top Stories
(6 min read) (Source: Microsoft)
TLDR: Microsoft has launched Security Copilot, which uses generative AI to detect and respond to cybersecurity threats. The product will use Microsoft's extensive threat intelligence to augment the work of security professionals.
Security Copilot aims to simplify complexity and amplify the capabilities of security teams by summarizing and making sense of threat intelligence.
The product continually learns using OpenAI's models and improves to ensure that security teams are operating with the latest knowledge of attackers, their tactics, techniques, and procedures.
The Big Picture: Microsoft did not go into depth about how generative AI is integrated into Security Copilot. It also doesn’t address the ongoing concern of these GPT tools hallucinating and producing incorrect information. Seems like that would be an important concern to address when it comes to integrating these tools into cybersecurity services. It’ll also be interesting to see what happens when OpenAI powered cyberdefense meets malware that was made with the help of GPT-4.
(5 min read) (Source: Financial Times - provided without the paywall through an archival site)
TLDR: Goldman Sachs suggests that about two-thirds of desk jobs are exposed to AI, and bots can do between a quarter and half of the workload. Anyone whose job can be automated up to 50% by AI will likely have to find another job.
However, AI could also boost productivity twofold by freeing employees for more valuable work and creating new positions, and 1.5 percentage points could be added to US labour productivity which would be about double the current rate.
While 7% of workers may lose jobs after generative AI reaches half of employers, most will find nearly as productive work due to improvements in workforce efficiency, and the AI growth bonus globally could be 1.4 percentage points, representing almost $7 trillion in extra annual global GDP over 10 years.
(6 min read) (Source: VentureBeat)
TLDR: Cisco's Webex suite now includes AI-powered features like smart re-lighting and a "be right back" function for automatic messaging, background blurring, and muting.
Additional AI-based capabilities in Webex Contact Center provide insights and real-time coaching for agents, while AI-powered chat summaries and instant code generation have also been added to increase efficiency and productivity.
(2 min read) (Source: Reuters)
TLDR: Cerebras Systems has released a series of 7 large language models trained on its AI supercomputer, Andromeda, and made them available for open use by the research community.
💰 Funding Alerts
Perplexity AI, a company that provides a conversational AI-powered answer engine, has raised $25.6 million in Series A funding led by New Enterprise Associates with participation from Databricks Ventures and existing angel investors. Perplexity AI intends to use the funds to accelerate its growth and expansion plans, including optimizing the application's knowledge database and continuing to protect user privacy. Their answer engine draws from credible sources in real-time and directly answers users' questions with sourcing and citations.
Ranovus, a company that develops and manufactures advanced photonics interconnect solutions for AI and machine learning workloads, has received a $36 million contribution from the Government of Canada’s Strategic Innovation Fund to support its $100 million project to advance domestic production and manufacturing of semiconductor products and services. The company plans to use the funds to develop highly efficient interconnect computer chips for next-generation AI work and to leverage Canadian semiconductor and silicon photonics expertise to become a leader in the field while significantly reducing greenhouse gas emissions from data centers.
Fashinza, an AI-driven technology company, has raised $30 million in funding from Mars Growth Capital and Liquidity Group. Their approach to the fashion industry allows brands to adapt to changing trends while maintaining high-quality standards, leading to a more sustainable and responsible fashion supply chain. The funding will enable Fashinza to continue driving the digital transformation of the fashion industry.
EDITED, an AI-driven merchandising experience platform, has raised $15 million in funding led by Delta-v Capital and Wavecrest Growth Partners, with participation from Beringea LLC and Hermes GPE. Edited uses AI-driven market and enterprise intelligence to accelerate automation for retailers, helping them make data-backed decisions and positively impact their customer experience. The funding will be used to accelerate product development, invest in partnerships, and pursue opportunistic M&A to expand their value proposition to customers.
Hazy, a synthetic data disruptor, raised $9 million in Series A funding led by Conviction (Will Orde, Partner) with participation from various investors, including Microsoft and Wells Fargo. Hazy uses AI-generated smart synthetic data to replace real data, eliminating privacy risks while preserving statistical quality. The funding will allow Hazy to expand within the banking and telecom industries in the UK, Europe, and the US.
🦾 Trending Tools
Krisp's AI Meeting Assistant offers automatic meeting transcription for any voice app without plugins or extensions. It provides long and short summaries, action items, and discussion items. Krisp safeguards personal information and offers always-on transcriptions with unlimited, free access. The virtual mic and speaker work with any communication app, and high-quality notes can be shared immediately.
Collider AI is a marketing optimization engine that utilizes a language model and machine learning to create and manage marketing campaigns. It generates personalized ads, webpages, and emails based on millions of trained examples to improve campaign performance and increase sales.
MapsGPT uses OpenAI's technology to create content for interactive maps, combining Proxi Maps' map creation capabilities with ChatGPT's AI-powered content generation. It provides trip ideas, planning assistance, and entertaining content with upgraded GPT-4.
Adrenaline uses static code analysis and LLMs to provide comprehensive answers to questions about code. Users can import a GitHub repository or paste a code snippet to access this feature. The platform aims to help developers learn faster and smarter and seeks feedback for future improvements.
Summarist.ai offers AI-generated book summaries for busy readers seeking to learn more efficiently. The platform delivers high-quality, condensed versions of popular nonfiction titles, aiming to save users time.
👀 More Reading
FTC Chair Lina Khan Vows to Protect Competition in AI Market (The Wall Street Journal)
Teen using AI found that Black homicide victims are less humanized in news coverage (CNN)
You're not the only one who fell for the fake pope coat (The Atlantic)
What We Still Don’t Know About How A.I. Is Trained (The New Yorker)
A Campaign Aide Didn’t Write That Email. A.I. Did. (The New York Times)
AI Seems to Do Better on Tasks When Asked to Reflect on Its Mistakes (Futurism)
🌎 Fresh Content
1. GitHub’s news show, The Download, present a comprehensive look at GitHub Copilot X and all of the awesome new features that it brings to the table to support developers. (YouTube)
2. Matt Wolfe tested some amazing hacks for Midjourney from Twitter including using GPT-4 to write incredibly detailed prompts and a demo of the DSNR Discord bot that can write custom prompts through questions that it asks you. (YouTube)
🧠 Resources
This is a free, introductory course from the University of Helsinki about the basics of AI. It provides an overview of the main principles of AI, covering topics such as What is AI, AI problem solving, Real-world AI, Machine Learning, Neural Networks, and Implications of AI.
Exercises are provided at the end of each section to help students test their knowledge and understanding of the material covered. Upon completion of the course, students will have a solid foundational understanding of AI and will be better equipped to tackle more advanced concepts in AI.
📚 Research
📅 Upcoming Events
MemCon (March 28-29, 2023 @ The Computer History Museum, Mountain View, CA, USA) is the first memory event focused on end users and systems. MemCon empowers engineers and architects working on memory-constrained problems with peer insights from case studies in genomics, AIML, datacenter, HPC, computational fluid dynamics, in-memory databases, and enterprise knowledge graphs. If you are working on a memory-bound problem, come and unpack it with your peers, meet enterprise data experts, and get your hands on tech demos at the same time. Register your interest today.
Join Google Data Cloud & AI Summit (March 29, 2023 @ 12:00 PM - 2:55 PM EDT / Virtual) to gain expert insights, new solutions, and strategies that can help you transform customer experiences with modern apps, boost revenue, and reduce costs. Gather to explore the latest innovations in Google Data Cloud for databases, data analytics, business intelligence, and AI. Register for this free virtual event today!
Introducing The data dividend: harnessing the power of people, processes and technology to unlock value from data (April 4, 2023 / Boston, MA, USA) a forum that brings together leaders in government and industry to discuss how to establish the strategy, culture and skills needed to foster a data-driven enterprise and cultivate new ways of thinking and working. They’ll explore questions like:
What is top of mind for data and analytics leaders in 2023? What key challenges are they facing?
How is the regulation of data and AI evolving, and how will it affect your industry and organisation to bring new opportunities and challenges?
Can we trust decisions and recommendations made by AI? How can tech leaders mitigate risk, bias and harm?
Healthcare NLP Summit (April 4-5, 2023 / Virtual) is a two day event consisting of immersive, industry-focused content including over 30 technical sessions, focusing on NLP applications in healthcare and life sciences. Join live Q&A sessions with the speakers, connect with others through networking features, and access all content on-demand after the event. The second week will feature beginner to advanced live training workshops and certifications. Learn, share, and apply best practices for putting AI to good use! Register for this free online event today!
💼 Jobs
VERSES: Senior Machine Learning Engineer - NLP Specialist
USA (Remote)
$120,000+ USD
Chime: Lead Software Engineer, Machine Learning Platform
San Francisco, CA, USA
$167,200 - $232,200 USD
Cerebral: Senior Machine Learning Engineer
USA (Remote)
$150,000 - $180,000 USD
ZipRecruiter: Software Engineer - Big Data (Remote)
Phoenix, AZ, USA (Remote OR Hybrid)
$105,000 - $145,000 USD
GoodRx: Senior Machine Learning Engineer
San Francisco, CA / New York, NY, USA (Hybrid)
$147,000 - $257,000 USD
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