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5 Minutes
Anzhella Pankratova
Content Author at OpenCV.ai
AI Weekly Insights: Cancer Diagnosis AI, AI Music at Grammys
Digest 5 | OpenCV AI Weekly Insights
Here's our weekly roundup of newsworthy developments from the world of computer vision and AI.
September 12, 2023
Welcome to the OpenCV AI Weekly Insights Digest!
Our aim is to keep you up to date with the latest news and developments in the world of Artificial Intelligence. Whether you're an experienced AI enthusiast or just starting to explore the world of AI — our digest is designed to keep you informed and inspired 🔥
TIME100 AI: The Power Players of AI
Image Source: Time
TIME's experienced editors have carefully curated the TIME100 AI, a collection that highlights the most influential figures in the field of artificial intelligence. This list includes a diverse range of visionaries, from industry veterans to those exploring the ethical dimensions of AI, all of whom have played a significant role in shaping the AI landscape. Notable members of the TIME100 AI include young advocates like Sneha Revanur, who champion ethical AI, and seasoned AI leaders like Geoffrey Hinton, who raise concerns about the potential risks of this technology.
The TIME100 AI serves as a valuable resource, offering insights into the power dynamics that drive the development of AI. It features a wide array of contributors, including competitors, regulators, scientists, artists, advocates, and corporate leaders, all working collaboratively to influence the growth of this emerging technology.
In conclusion, the rapid evolution and far-reaching impact of AI on our society are undeniable. As this technology continues to advance, the decisions and contributions of individuals will play a pivotal role in determining its trajectory.
Microsoft and Paige Collaborate on Cancer Diagnosing AI Model
Image Source: Paige
Microsoft has teamed up with digital pathology firm, Paige, to develop the most extensive image-based Artificial Intelligence (AI) model for cancer detection worldwide. The AI model, which utilizes billions of images for training, is designed to identify both common and rare types of cancer.
The field still grapples with major challenges, particularly in terms of storage costs and data collection. Digitizing a single slide can require over a gigabyte of storage, making large-scale data collection a costly affair. With the aim to broaden its operations and construct an AI tool for identifying additional cancer types, Paige sought collaboration with Microsoft.
Paige is exploring the integration of predictive modeling into their system to offer pathologists and patients effortless access to information concerning their biomarkers and genomic mutations.
In a remarkable shift of the music landscape, an artificially intelligent rendition of a song has been submitted for Grammy consideration. The AI-generated track, "Heart on My Sleeve," which replicated the vocal styles of Drake and The Weeknd, was created by a cryptic figure known as Ghostwriter977.
The song, entirely born from artificial intelligence, has been submitted for the prestigious Grammy Awards in the Best Rap Song and Song of the Year categories. This development arrives amidst ongoing discussions in the music industry about how to handle the growing influence of AI in music production.
In response to the AI song submission, Recording Academy CEO Harvey Mason Jr. expressed that the industry will need to grapple with this new reality. He stated that, from a creative standpoint, AI-created music is entirely eligible for Grammy consideration, as it is ultimately produced by humans.
Unleash Your Potential: Introducing the Falcon 180B
Image Source: Hugging Face
Recent developments in the AI field have been quite astounding. Topping the list is Falcon 180B’s performance, which is currently the best among all released open-source LLMs. Notably, it outperforms Llama 2 70B and OpenAI’s GPT-3.5 on MMLU, matching Google's PaLM 2-Large on various benchmarks.
Parameters of the Falcon-180B model:
• 180 billion parameters
• Context 2048 tokens
• Trained for 2.5 months on 4096 GPU on Amazon SageMaker.
• The model saw 3.5 trillion tokens (vs. 2 trillion for LLaMa 2)
The model's performance typically sits somewhere between GPT 3.5 and GPT4 based on the evaluation benchmark. This proves promising for continued advancements in language models. The AI community is eagerly anticipating further fine-tuning now that Falcon 180B has been released openly.
Computer Vision in Sports: People Train and Compete — Machines Watch and Help
At the upcoming 2024 Olympic Games in Paris, the world will see the most advanced AI and computer vision systems for sports developed by Intel. These systems will not only help capture athletic performance with millimeter and millisecond accuracy but also create 3D models of athletes for replays and analyzing complex situations. The data and models will be available to both referees and spectators.
Artificial intelligence and computer vision systems in sports are no longer a high-tech novelty but an everyday reality. People train, challenge, and watch others compete — and hundreds of tech companies are helping to make it safer and more efficient. And more fun, too!
April 16, 2024
Which GPUs are the most relevant for Computer Vision
In the field of CV, selecting the appropriate hardware can be tricky due to the variety of usable machine-learning models and their significantly different architectures. Today’s article explores the criteria for selecting the best GPU for computer vision, outlines the GPUs suited for different model types, and provides a performance comparison to guide engineers in making informed decisions.
April 12, 2024
Digest 19 | OpenCV AI Weekly Insights
Dive into the latest OpenCV AI Weekly Insights Digest for concise updates on computer vision and AI. Explore OpenCV's distribution for Android, iPhone LiDAR depth estimation, simplified GPT-2 model training by Andrej Karpathy, and Apple's ReALM system, promising enhanced AI interactions.
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