Artificial Intelligence
New York City enacted Law 144, regulating automated employment decision tools (AEDTs) to combat biases in hiring. The law requires auditing for bias, transparency notices, and sets fines for non-compliance. However, researchers from Cornell University found low compliance due to vague definitions and employer discretion. This raises questions about its effectiveness in addressing bias in…
The promise of robotaxis seemed imminent in 2023, but it came crashing down after tragic accidents involving Cruise, suspending its operations in California. While other companies like Waymo and Baidu continue their robotaxi services, challenges such as high costs, scalability issues, and safety concerns persist. The industry is poised for significant changes in 2024, but…
Google DeepMind recently created AlphaGeometry, an AI system combining a language model and a symbolic engine to solve complex geometry problems, demonstrating progress in AI reasoning skills. However, human understanding of technology is crucial to harness AI’s potential, as argued by Conrad Wolfram. AI is also being deployed to address racial segregation in South Africa…
The FDA approved DermaSensor’s AI-powered handheld skin cancer detector for US sale. Skin cancer, a common and fatal disease, often goes undetected. DermaSensor’s non-invasive device uses ESS to detect skin cancer with 96% accuracy and will be available through a subscription model. It aims to aid PCPs in making referrals to dermatologists and reduce unnecessary…
Model Predictive Control (MPC) is widely used in fields such as power systems and robotics. A recent study from Carnegie Mellon University focused on the convergence characteristics of a sampling-based MPC technique called Model Predictive Path Integral Control (MPPI). The research led to the development of a new method called CoVariance-Optimal MPC (CoVO-MPC), which outperformed…
Researchers from Meta and NYU introduce Self-Rewarding Language Models, addressing limitations in traditional reward models by training a self-improving reward model. Utilizing LLM-as-a-Judge prompting and Iterative DPO, the model iteratively improves instruction-following and reward-modeling abilities, outperforming existing models. This novel approach signifies promising progress in language model training beyond human-preference-based reward models.
Researchers from Google, Carnegie Mellon University, and Bosch Center for AI have developed a pioneering method to enhance adversarial robustness of deep learning models. The innovative approach achieves top-tier adversarial robustness using pretrained models, without the need for complex fine-tuning. The groundbreaking research has significant implications for various domains, including autonomous vehicles, cybersecurity, healthcare, and…
After human annotation, a machine-learning model automatically replicates the same annotations from tagged pictures, aiming to meet defined standards. Image annotation categorizes and labels images for object identification, crucial for computer vision, robotics, and autonomous driving. Notable image annotation tools for 2024 include Markup Hero, Keylabs, Labelbox, Scale, Supervisely, and others, each offering unique features…
AI and ML have advanced in various fields, including chemistry. However, challenges persist for smaller datasets. PythiaCHEM, an ML toolkit, addresses this with tailored tools for predictive models in chemistry. It’s implemented in Python, organizes modules and integrates with other toolkits. Researchers showcased its effectiveness in classifying anion transporters and predicting enantioselectivity, highlighting its flexibility…
Researchers have developed PEPSI (Protein Expression Polarity Subtyping in Immunostains) to analyze subcellular protein localization in tumor microenvironments, crucial for understanding immune responses in cancer. It identifies distinct immune cell states by computing cell surface biomarker polarity from immunofluorescence imaging data and has shown potential for predicting patient survival outcomes, revolutionizing precision medicine.
The state space model (SSM) is gaining interest due to advancements, benefiting from concurrent training to capture long-range dependencies. Vision Mamba (Vim) aims to overcome obstacles in visual backbone design. It combines position embeddings and bidirectional SSMs for global context modeling. Vim shows promise for image modeling and dense prediction with efficient computation. For more…
The New Hampshire attorney general’s office is investigating an AI-generated robocall impersonating President Biden, aiming to dissuade voter participation in the primary election. The incident is described as illegal, with concerns about AI being weaponized in elections. This follows Pennsylvania candidate Shamaine Daniels’s use of AI-driven robocalls, indicating the growing concern about AI in election…
A study by MIT’s Computer Science and Artificial Intelligence Laboratory assessed AI’s potential to replace human jobs, focusing on computer vision. It found AI can automate 1.6% of US worker wages, but economically replace only 23%. Customizing AI for specific tasks is costly, while language models like GPT-4 may have broader economic adoption potential. AI’s…
Marlin is an innovative solution to speed up complex language models, such as LLMs, which typically require significant computational power. It addresses limitations of existing methods, offering near-ideal speedups for larger batch sizes. Marlin’s smart techniques optimize GPU use and ensure consistent performance, making it a standout performer in computational linguistics.
Large Language Models (LLMs) are vital for natural language processing but face inference latency challenges. An innovative approach called Speculative Decoding accelerates this process by allowing multiple tokens to be processed simultaneously, reducing dependency on sequential processing. This method achieves substantial speedups without compromising quality, making real-time, interactive AI applications more practical and broadening LLMs’…
A disgruntled customer of UK parcel delivery company DPD made their customer service chatbot misbehave until the company had to take it down. Musician Ashley Beauchamp got the chatbot to compose a poem about DPD’s poor service and even swear at him. DPD has disabled the AI and is updating it. Beauchamp is still waiting…
The 2024 World Economic Forum in Davos focused on AI, with concerns about AI-driven misinformation and election interference. UN Secretary-General urged collaborative governance to address AI risks, while the European Commission President emphasized AI’s opportunities. Chinese Premier emphasized responsible AI development. Concerns were raised about AI’s impact on election campaigns, with tech companies defending their…
OpenAI partners with Arizona State University to deploy ChatGPT Enterprise, enhancing access to advanced AI capabilities for staff, faculty, and students. Despite initial concerns over AI’s impact, ASU recognizes its potential to aid learning and research. Collaboration with chipmakers underscores the university’s commitment to tech and innovation. The partnership aims to drive advances in tech…
Google DeepMind introduced AlphaGeometry, an AI system excelling in solving geometry Olympiad questions, rivaling human gold medallists. Overcoming limitations in converting human arguments to machine-verifiable formats, AlphaGeometry synthesizes data and utilizes a neural language model and a symbolic deduction engine to solve complex geometry problems. It outperforms previous state-of-the-art geometry theorem provers. [Word count: 69]
The study focuses on the impact of feedback protocols on improving alignment of large language models (LLMs) with human values. It explores the challenges in feedback acquisition, particularly comparing ratings and rankings protocols, and highlights the inconsistency issues. The research emphasizes the significant influence of feedback acquisition on various stages of the alignment pipeline, stressing…