Cybersecurity risks are not only growing in sophistication, but also becoming more financially burdensome. While traditional methods of attack such as ransomware, malware, and email phishing will persist, security strategies must now address emerging concerns like the growing prevalence of AI and the near-universal employee use of mobile and IoT devices. Attend The 2025 Threatscape summit to gain insights from renowned industry experts into the risks that lie ahead and discover the most effective preventive and defensive measures against potentially catastrophic attacks.
From telehealth to remote patient monitoring to digital therapeutics, healthcare stakeholders increasingly deliver healthcare services via digital technologies. At the upcoming Connected Health event, attendees will glean insights into the real-world evidence and novel use cases for connected healthcare tools, alongside the hurdles to digital health adoption and use. Join thought leaders and industry insiders as they delve into the evolution of technologies that connect patients, providers, and payers, as well as innovative strategies to deploy and scale digital health efforts equitably.
Top Stories
30 Features that Dramatically Improve LLM Performance – Part 3 September 21, 2024 by Vincent Granville This is the third and final article in this series, featuring some of the most powerful features to improve RAG/LLM performance. In particular: speed, latency, relevancy (hallucinations, lack of exhaustivity), memory use and bandwidth (cloud, GPU, training, number of parameters), security, explainability, as well as incremental value for the user.
(Trying to) Quantify the Economic Impact of GenAI September 22, 2024 by Bill Schmarzo How can we quantify GenAI’s performance impact on employees with below-average to average performance compared to high-performance employees? I have had the privilege of working with Mark Stouse to address this question. While there are numerous anecdotal examples, we aimed to answer this question quantitatively.
Backgrounder: Energy inefficiency and the uneasy convenience of LLMs September 20, 2024 by Alan Morrison Energy inefficiency and the uneasy convenience of LLMs I had the opportunity earlier in September 2024 courtesy of host Kisaco Research to attend the AI Hardware and Edge AI Summit here in San Jose. This is the second year I’ve attended.
In-Depth
Explainable AI (XAI): How can Black Box models be transformed into comprehensible intelligence? September 23, 2024 by Shafeeq Rahaman The AI market is demonstrating sustained growth, expanding at a compound annual growth rate of 38.1% from 2022 to 2030. From voice assistants to autonomous vehicles, we have witnessed that AI technologies have become increasingly prevalent. However, as AI systems grow more complex, the industry faces a significant challenge: the opacity of decision-making processes.
Chain of Thought prompting for LLMs September 23, 2024 by Kevin Vu The advent of ChatGPT and Large Language Models has already affected education. With mixed results and a spectrum of ethical acceptability, students can use chat-tuned LLMs to plan, as a starting point for research, to edit and suggest stylistic or grammatical improvements, or even as a ghostwriter to write assignments.
How to defend against AI-generated polymorphic malware September 23, 2024 by Zachary Amos There seems to be a new Trojan horse or phishing scam daily, yet cybersecurity and IT teams remain up to the challenge of familiarizing themselves with new threats. Polymorphic malware is on the rise, but it has existed for some time.
How machine learning is delivering next-generation talent acquisition processes September 18, 2024 by Edward Nick The ongoing artificial intelligence boom has introduced cutting-edge machine learning (ML) processes into the world of talent acquisition. In offering unprecedented automation, qualitative data insights, and powerful screening tools, ML has the potential to revolutionize the reach of businesses when discovering the right hires.
DSC Weekly 17 September 2024 September 17, 2024 by Scott Thompson Read more of the top articles from the Data Science Central community.
