MIT Technology Review June 13, 2019 IBM relies on its research division with 3,000 researchers distributed across 12 locations, to stay on top of trends in emerging technology. For decades now, the company has engaged in an annual global technology outlook (GTO) process to create and adapt business units in light of what’s on the horizon. They decided AI is one of these technologies that’s on an exponential curve. Two years ago, IBM established the MIT-IBM Watson AI Lab. This collaboration has focused IBM research again on solving significant basic-science problems in AI…read more
Tag Archives: Artificial intelligence
What you may not understand about China’s AI scene
MIT Technology Review April , 2019 Most Chinese researchers can read English, and nearly all major research developments in the Western world are immediately translated into Chinese, but the reverse is not true. Therefore, the Chinese research community has a much deeper understanding than the English-speaking one of what’s happening on both sides of the aisle. As China’s AI industry continues to grow, this could prove a major disadvantage for people in the West. Westerners have a hyped-up view of China’s AI capabilities. Westerners also lack a genuine understanding of the technical skills and capacity of Chinese companies. A few […]
Intel buys into an AI chip that can transfer data 1,000 times faster
MIT Technology Review April 2, 2019 Untether, based in Toronto, Canada, has developed a prototype inference chip which is akin to a chip that runs on a device like a smartphone or a camera. It can transfer data between different parts of the chip 1,000 times more quickly than a conventional AI chip. It uses “near-memory computing” to reduce the physical distance between memory and the processing tasks, which speeds up data transfer and lowers power consumption…read more.
EmTech Digital 2019 Coverage
MIT Technology Review March 25, 2019 Everything you need to know from EmTech Digital 2019, where the sharpest minds in the technology, management, startup, engineering, and academic communities converge. The article covers the following 14 stories: Tech companies must anticipate the looming risks as AI gets creative ; AI researchers must confront “missed opportunities” to achieve social good; Deepfakes are solvable—but don’t forget that “shallowfakes” are already pervasive ; Robots won’t make it into our houses until they get common sense ; How malevolent machine learning could derail AI ; How machine learning is accelerating last-mile, and last-meter, delivery ; Your next car could have […]
China’s masses of data give it an edge in AI—but they may not forever
MIT Technology Review March 5, 2019 How can the US outcompete China when the latter has far more people and the former cares more about data privacy? Is it, in other words, just a lost cause for the US to try to “win”? According to the President of MIT, state of the art changes with research. In other words, data may not always be king. Given that our brains themselves do not require a lot of data to learn, the better we come to understand its processes, the more closely we will be able to mimic it in new types […]
Global Artificial Intelligence Patent Survey
Inside Big Data February 22, 2019 Corresponding to the rise of 4IR digital technologies, the number of international AI based patent filings has expanded rapidly over the last few years, mostly concentrated in the United States and Asia. According to a 2016 study, approximately 75% of all AI-related patent publications in the world come from three jurisdictions: China, Japan, and the United States. Although the majority of AI-related patents are filed in these countries, Europe is also seeing substantial increases in such patent filings…read more.
Causal disentanglement is the next frontier in AI
Phys.org February 20, 2019 Complex behaviour emerges from interactions between objects produced by different generating mechanisms. Researchers in Sweden introduce a universal, unsupervised and parameter-free model-oriented approach, based on the seminal concept and the first principles of algorithmic probability, to decompose an observation into its most likely algorithmic generative models. They demonstrated its ability to deconvolve interacting mechanisms regardless of whether the resultant objects are bit strings, space–time evolution diagrams, images or networks. Although this is mostly a conceptual contribution and an algorithmic framework, they have provided numerical evidence evaluating the ability of the methods to extract models from data […]
Emotion-reading tech fails the racial bias test
Phys.org January 3, 2019 Researchers at Wake Forest University compared the emotional analysis from two different facial recognition services, Face and Microsoft’s Face API. Both services interpreted black players as having more negative emotions than white players. According to the researchers there are two different mechanisms. Face consistently interprets black players as angrier than white players, even controlling for their degree of smiling. Microsoft registers contempt instead of anger, and it interprets black players as more contemptuous when their facial expressions are ambiguous. As the players’ smile widens, the disparity disappears. The finding has implications for individuals, organizations, and society, […]
Artificial intelligence controls quantum computers
Science Daily October 25, 2018 Researchers in Germany show how a network-based “agent” can discover complete quantum-error-correction strategies, protecting a collection of qubits against noise. These strategies require feedback adapted to measurement outcomes. To find strategies without human intervention they developed two-stage learning with teacher and student networks and a reward quantifying the capability to recover the quantum information stored in a multiqubit system. Beyond its immediate impact on quantum computation, the work more generally demonstrates the promise of neural-network-based reinforcement learning in physics… read more. TECHNICAL ARTICLE
MIT has just announced a $1 billion plan to create a new college for AI
MIT Technology Review October 15, 2018 The new college of computing is being built with $350 million in funding from Stephen A. Schwarzman, the CEO and cofounder of a private equity firm. The school will open next September. Under the recent initiative, the Quest for Intelligence, it aims to make breakthroughs in AI by bringing together researchers from cognitive science and neuroscience as well as computer science. According to the president of MIT the new approach was necessary because of the way computing, data, and AI are “reshaping the world”…read more.