In order to use remote locations to record and assess the behavior of wildlife and environmental conditions, the GAIA Initiative developed an artificial intelligence (AI) algorithm that reliably and automatically classifies behaviors of white-backed vultures using animal tag data. As scavengers, vultures always look for the next carcass. With the help of tagged animals and …
Recently, LinkedIn announced its Hiring Assistant, an artificial intelligence “agent” that performs the most repetitious parts of recruiters’ jobs—including interacting with job candidates before and after interviews. LinkedIn’s bot is the highest-profile example in a growing group of tools—such as Tombo.ai and Moonhub.ai—that deploy large language models to interact with job seekers.
In 2018, I sat in the audience at AWS re:Invent as Andy Jassy announced AWS DeepRacer—a fully autonomous 1/18th scale race car driven by reinforcement learning. At the time, I knew little about AI or machine learning (ML). As an engineer transitioning from legacy networks to cloud technologies, I had never considered myself a developer. …
Read more “Racing into the future: How AWS DeepRacer fueled my AI and ML journey”
The fast-rising pace of attacks is driving a graph database arms race across leading cybersecurity providers.Read More
Pokémon Trading Card Game Pocket reinvents the gacha game for a Pikachu-loving audience. It’s attracted millions of players—and more than a little controversy.
The more lottery tickets you buy, the higher your chances of winning, but spending more than you win is obviously not a wise strategy. Something similar happens in AI powered by deep learning: we know that the larger a neural network is (i.e., the more parameters it has), the better it can learn the task …
A chatbot is a computer program that can talk to people.
Humans and animals move with remarkable economy without consciously thinking about it by utilizing the natural oscillation patterns of their bodies. A new tool can now utilize this knowledge for the first time to make robots move more efficiently.
The AI Science Forum highlights AI’s present and potential role in revolutionizing scientific discovery and solving global challenges, emphasizing collaboration between the scientific community, policymakers, and industry leaders.
This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP) Workshop at NeurIPS 2024. Large Language Models (LLMs) typically generate outputs token by token using a fixed compute budget, leading to inefficient resource utilization. To address this shortcoming, recent advancements in mixture of expert (MoE) models, speculative decoding, and early exit strategies …
Read more “Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models”