Plus: the US won't collaborate with Europe to fight disinformation Each year, we select 35 outstanding individuals under the age of 35 who are using technology to tackle tough problems in their respective fields. Our AI honorees include people who steer model development at Silicon Valley's biggest tech firms and academic researchers who develop new techniques to improve AI's performance. How Yichao "Peak" Ji became a global AI app hitmaker When Yichao Ji--also known as "Peak"--appeared in a launch video for Manus in March, he didn't expect it to go viral. Speaking in fluent English, the 32-year-old introduced the AI agent built by Chinese startup Butterfly Effect, where he serves as chief scientist. The video was not an elaborate production but something about Ji's delivery, and the vision behind the product, cut through the noise. The product, then still an early preview available only through invite codes, spread across the Chinese internet to the world in a matter of days.

Today, the rewards of AI are mostly enjoyed by a few countries in what the Oxford Internet Institute dubs the "Compute North." These countries, such as the US, the U.K., France, Canada, and China, have dominated research and development, and built state of the art AI infrastructure capable of training foundational models. This should come as no surprise, as these countries are home to many of the world's top universities and large tech corporations. But this concentration of innovation comes at a cost for the billions of people who live outside these dominant countries and have different cultural backgrounds. Large language models (LLMs) are illustrative of this disparity.

AMP Robotics is a leader in the recycling technology industry, building AI-based robotics systems that sort recyclable materials and waste at a fraction of the cost of current technology. AMP's technology recovers recyclables from municipal waste, precious commodities from electronic waste, and high-value materials from construction and demolition debris. They turned to CloudFactory when growth outpaced internal capacity to annotate quality data. Our managed workforce led quality control efforts for AMP's data labeling efforts while supporting model outputs and defining new segments.

WASHINGTON, July 12, 2022 – Representatives from academia and a nonprofit diverged at a Bipartisan Policy Center event Tuesday about whether the government should step in and minimize problems associated with artificial intelligence, including bias and discrimination in algorithms. "We really do want actors to help us establish national and international guidelines," said Miriam Vogel, president, and CEO of EqualAI, a nonprofit that seeks to reduce bias in AI. "We are driving full speed without lanes, without speed limits to manage the expectations." While acknowledging the benefits of AI in society today, Vogel said its algorithms present risk that often leads to bias and discrimination. She shared the example of how facial recognition misses certain voices or skin tones. AI is used in various sectors and powers algorithms that cater services to individuals.

In 2020, IDRC and the Swedish International Development Cooperation Agency (Sida) launched the Artificial Intelligence for Development in Africa (IAPD Africa) program. This program aims to support the AI community and policymakers in developing responsible, ethical, and equitable AI that meets the continent's challenges, under the leadership of Africa. IDRC, the International Development Research Centre, was established in Canada in 1970 with a mission "to initiate, encourage, support and conduct research into the problems of the developing regions of the world and into the application of scientific, technical and other knowledge for the economic and social advancement of those regions . IDRC sees climate change and inequality, combined with the HIV/AIDS pandemic, as major obstacles to achieving the UN's sustainable development goals, and it is these challenges that it helps to address. While the center is headquartered in Ottawa, Canada, its five regional offices are located in India, Jordan, Kenya, Senegal, and Uruguay to be as close as possible to the researchers and projects it funds.

Cornell BrAIn, initiated and led by the College of Arts & Sciences, will host a two-day symposium Dec. 9-10, bringing together innovators in Artificial Intelligence (AI) and neuroscience to explore the connections being forged between neurotechnology, deep learning, natural intelligence and AI. The symposium will be from 9 a.m. Registration is required for all participants at Cornell brAIn Symposium. "Novel neurotechnologies, including some developed here at Cornell, enable researchers to record thousands of neurons at once," said event organizer Jesse Goldberg. "These complex brain signal datasets require new analytical tools, and AI researchers are now leading the way in decoding brain signals to gain insight into how thoughts, perceptions and actions are encoded. "In addition, artificial neural networks trained to move robotic limbs, understand speech, or recognize objects acquire architectures and representations also seen in real brains.

Over the last decade, AI, once a far-fetched theme of old-school science-fiction movies, has quickly grown into one of the most prolific emerging technologies – and, by association, one of the most recognizable buzzwords out there. Virtually every industry today – healthcare, transportation, manufacturing, agriculture, banking, retail, finance – has either implemented or is planning to implement AI in some way. And we know this because many of the companies operating in these spaces publicize their use of AI. What looks more cutting-edge than announcing your new AI-powered initiative? It's as much a marketing gimmick as it is about product and service efficiency. As with other fields, AI has surfaced as an accelerator of cybersecurity innovation over the past five years.

Global demand for tech hardware has surged (partly) due to COVID-19 and the contactless economy. Looking to the future, Taiwan wants to expand it's resume by cultivating a world-class AI ecosystem. That's where the AI NEXT program comes in -- a series of online events designed to help all kinds of businesses, people in tech, and investors enter the global AI ecosystem and connect with Taiwanese AI companies. This first online forum hosted by the AI NEXT program, 2020 AI NOW Online Tech Forum EP1: AI in the Contactless Economy features talks from 6 directors and CEOs about their AI innovations in manufacturing, retail, and mobility. What do these 6 AI innovators all have in common?

With Artificial Intelligence (AI) continually progressing and developing, it's unsurprising that many companies are aiming to lead in the AI technology market – especially given that the global AI market is on track to be worth over $118 billion by 2022. But which companies are currently leading the way for innovation when it comes to AI? To find out, our friends over at RS Components analyzed AI patent applications in order to find out which brands are at the forefront of AI innovation. Take a look at the graphic below to see which countries have been making the most AI applications and the companies that have applied for the most, as well as which AI-focused brands are making the most patent grants.

This article represents my personal views and not those of Digital Catapult, NHS Digital or any other organisation. In a few years time there'll be lots of AI apps to help with radiology. I mean apps deployed and approved and working [1]. This is great news: the demand for radiology is growing and there aren't enough radiologists [2]. Any tool that can prioritise the urgent cases, quickly eliminate the normal scans, highlight abnormal areas in images, help with a second opinion or assist a more junior clinician will be of great value.