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CES 2020 Innovation Awards: Winners and Trends
Each year, CES runs an extensive programme of innovation awards, selecting a subset of the thousands of products on show on the basis of their engineering, aesthetics and design, uniqueness, the innovation they bring to the consumer market, and more.
(ZDNet)
Tech Giants at CES 2020
– Apple: Apple returns to CES to talk privacy, not products
– Google: Here’s everything Google announced at CES 2020
– Samsung: Samsung’s Neon, explained: Just what exactly are these ‘artificial humans’?
– Sony: Sony won CES with a car no one will ever drive
– Intel: This is Intel’s first discrete graphics card in 20 years, but you can’t buy one
– NVIDIA: NVIDIA shows off autonomous tech for cards and robots at CES 2020
– AMD: AMD at CES 2020: Threadripping, new Ryzen laptop CPUs, and more
– IBM: IBM research director at CES 2020: We will hit the quantum advantage this decade
– Adobe: Watch Adobe shows off its impressive AI-powered vertical-video tech
Future Mobility at CES 2020
– U.S. outlines strong support for self-driving cars at CES
– Everything CES 2020 taught us about the exciting future of autonomous cars
– Toyota Lifts the Veil on Its Guardian Driver-Assist System
– The Russian car with no driver at the wheel
– Mercedes-Benz unveiled a bizarre car inspired by ‘Avatar’ at CES which can drive sideways, has no steering wheel, and features scales
– Samsung unveils latest 5G Telematics Control Unit (TCU) technology and BMW partnership at CES 2020
Robots at CES 2020
– The 8 coolest robots spotted at CES 2020
– Creepy robots at CES 2020 that will give you nightmares
– Meet MarsCat, a robot cat with lots of love to give and room to grow
– Is Clicbot a spiritual successor to Cozmo? (Mostly no, but maybe a little yes)
– Cuddly rolling robot Lovot returns to CES as a real product
– Samsung’s Ballie is an AI you may actually care about
Smart Home at CES 2020
– The 10 best new smart home gadgets we saw at CES 2020
– 6 new Google Assistant features that’ll make life easier, and how to use them
– Bosch Smart Home adding support for HomeKit later this year
– Kohler puts an Alexa-enabled smart speaker in a showerhead
– This smart lock might be the first real product that gets its power beamed through the air
Technology
On the Information Bottleneck Theory of Deep Learning
In this work, researchers study the information bottleneck (IB) theory of deep learning, which makes three specific claims: first, that deep networks undergo two distinct phases consisting of an initial fitting phase and a subsequent compression phase; second, that the compression phase is causally related to the excellent generalization performance of deep networks; and third, that the compression phase occurs due to the diffusion-like behavior of stochastic gradient descent.
(Harvard University & Santa Fe Institute & MIT-IBM Watson AI Lab)
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes
For BERT training, the proposed optimizer enables use of very large batch sizes of 32868 without any degradation of performance. By increasing the batch size to the memory limit of a TPUv3 Pod, BERT training time can be reduced from 3 days to just 76 minutes.
(Google & UC Berkeley & UCLA)
Quantum Adversarial Machine Learning
In this paper, researchers explore different adversarial scenarios in the context of quantum machine learning. The research team finds that similar to traditional classifiers based on classical neural networks, quantum learning systems are likewise vulnerable to crafted adversarial examples, independent of whether the input data is classical or quantum.
(Tsinghua University & Max-Planck-Institut für Quantenoptik)
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When talk of artificial neural networks began some fifty years ago the idea was to mimic the behaviour and function of the neurons in human brains — a premise that has more or less survived to this day. But new research now suggests scientists may have severely underestimated the power and potential of our neurons.
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Vroom! Vroom! New Dataset Rolls Out 64,000 Pictures of Cars
Recently, a dataset with 64,000 pictures of cars appeared on GitHub, the work of data scientist Nicolas Gervais. The Car Connection Picture Dataset is of added interest because its images are conveniently labeled by make, model, year, price, horsepower, body style and more.
(Synced)
Global AI Events
February 7–12: AAAI 2020 in New York, United States
February 24–27: Mobile World Congress in Barcelona, Spain
March 23–26: GPU Technology Conference (GTC) in San Jose, United States
Apr 26-30: ICLR | 2020 in Addis Ababa,Ethiopia
Global AI Opportunities
Twitter is Hiring Engineering Manager, ML
Alan Turing Institute Safe and Ethical AI Research Fellow/Fellow
DeepMind Scholarship: Access to Science
OpenAI Seeking Software Engineers and Deep Learning Researchers
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