The company made a series of AI-related announcements today at the Huawei Connect 2018 Conference in Shanghai, introducing two AI chips and a machine learning framework. Huawei’s AI push is expected to intensify its battle with domestic rivals Alibaba, Tencent and Baidu in the AI market.
A typical JD motorcycle deliveryman in Shanghai delivers 100 packages per day, racing along the city’s waterfront, navigating tiny alleyways and darting between the city’s skyscrapers. That may seem impressive but JD is still striving to improve motorcycle delivery efficiency with new tech — much of it AI-powered.
This August, thousands of Chinese middle school students participated in a two-day “AI teacher vs. Human teacher” competition. Students were separated into two groups: one received math tutoring from experienced teachers, the other from an intelligent learning system.
Visual search is an important new business tool that is changing the way people interact with E-commerce and social media platforms. Instead of entering a text query, visual search engines enable users to identify and locate items via photos snapped with their smartphone cameras.
Nadja Rhodes is enamoured with artificial intelligence. A Seattle-based Microsoft software developer unpracticed in AI techniques such as deep learning, Rhodes had applied to a number of tech company sponsored AI residency initiatives, but to no avail. And so she was thrilled to be accepted by OpenAI Scholars.
Sneakerheads of the world love online reseller GOAT. Sellers submit formatted photos of their sneakers and the company finds a buyer. The GOAT website has some 400,000 listings. Rare models like Air Yeezy Blink, Air Jordan 3 Retro Solefly and Pharrell x Chanel x NMD Human Race Trail can fetch tens of thousands of dollars.
As Chinese Internet giant Baidu has expanded from search to mobile apps, cloud services, and emerging business sectors like autonomous driving and voice assistants, it has correspondingly beefed up its research efforts, particularly in AI, to keep pace with growing security threats.
Apple has unveiled the latest iteration of its smartphone chip: the A12 Bionic SoC (system-on-a-chip). The company made the announcement yesterday at its annual product showcase event in Cupertino, California, hailing the A12 as the industry’s first ever 7nm chip (the smallest current transistor scale). It will be embedded in Apple’s new XR, XS, and XS Max iPhones.
Google AI lead Jeff Dean recently posted a link to his 1990 senior thesis on Twitter, which set off a wave of nostalgia for the early days of machine learning in the AI community. Parallel Implementation of Neural Network Training: Two Back-Propagation Approaches may be almost 30 years old and only eight pages long, but the paper does a remarkable job of explaining the methods behind neural network training and the modern development of artificial intelligence.
Tencent AI Lab has announced that it will open source its multi-label image dataset ML-Images and deep residual network ResNet-101 by the end of September. ML-Images contains 18 million images and more than 11,000 common object categories; while ResNet-101 has reached the highest precision level in the industry.
Google Cloud announced today that Carnegie Mellon University School of Computer Science Dean Dr. Andrew Moore will join Google Cloud to lead its AI efforts at the end of this year. The company also announced that its Chief AI Scientist Dr. Fei-Fei Li will return to Stanford University this fall.
As artificial intelligence matures so does its potential in the creative industries — one of which happens to be music production. Although AI is not about to top the hit charts any time soon, algorithms are already creating, performing and even monetizing their own musical compositions. Synced took a look into current AI music techniques and projects from tech giants and startups alike.
Founder and CEO of Landing.AI Andrew Ng delivered a keynote speech on “The New Era of Artificial Intelligence Empowerment” today at the 2018 China Artificial Intelligence Summit (CAIS2018) in Nanjing. Ng said that during Landing.AI’s startup phase he often discussed how to implement AI driven solutions across a wide range of situations with CEOs from around the world. Those discussions informed today’s talk.
Anglian Water plans to install an AI-based energy storage machine system in its water treatment facilities. The system will provide a real-time energy consumption balancing service and increase the lifespan of storage machines. The AI system was designed by Open Energi and is expected to be full operational by next year.
Registration opened at 8:00 a.m. PDT today for December’s NIPS 2018 (Conference on Neural Information Processing Systems) in Montreal. The early birds were the fortunate ones this year — as tickets for the main conference were all snapped up less than a dozen minutes later.
Electrifying an entire dance club is easy if you have killer moves like John Travolta in Saturday Night Fever. But for the rest of us, not so much. We may shake our butts and swing our arms, but let’s face it: some people just can’t dance. But now there’s hope, thanks to AI.
Last August at the Dota 2 International tournament in Seattle, OpenAI introduced an AI bot that upset the world’s top 1v1 human player. The San Francisco-based AI research institute is now at the International 2018 in Vancouver, where their team of state-of-the-art bots is battling professional human teams in a highly anticipated best-of-three 5v5 Dota 2 showdown.
Nvidia and the MIT Computer Science & Artificial Intelligence Laboratory (CSAIL) have open-sourced their video-to-video synthesis model. By using a generative adversarial learning framework, the method can generate high-resolution, photorealistic and temporally coherent results with various input formats, including segmentation masks, sketches, and poses.
Blockchain hardware, software, and services company Bitmain confirms it will build a data center in Rockdale, Texas and invest US$500 million in the United States over the next seven years. Bitmain will launch a local training program and hire more than 400 employees.
Computers are now excellent at recognizing images of human faces, cats and dogs — but struggle when it comes to detecting continuous actions, for example determining if a character in a video might be “dancing the tango.” Computers also fall short in detecting nuanced expressions of human emotions.