In the News
Four Predictions For Artificial Intelligence And Machine Learning In 2021
Reflecting on the past year, we’ve seen major advancements in AI and ML and how these technologies impact core business planning and operations. These are my predictions for what to expect in the industry:
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In The News
The 3 Questions Driving the Future of AI
Dr. David is a leading expert in the field of computational intelligence, specializing in deep learning and evolutionary computation. From challenges in computational requirements, to high costs, and the technical limitations of bringing deep learning models to the edge, AI still has significant...
AI reading list: 8 interesting books about artificial intelligence to check out
These eight books about artificial intelligence cover a range of topics, including ethical issues, how AI is affecting the job market, and how organizations can use AI to gain a competitive advantage.
Biggest influencers in artificial intelligence in Q4 2020: The top individuals to follow
Kirk Borne (@KirkDBorne) Kirk Borne is a principal data scientist and executive advisor at Booz Allen Hamilton, analytics, digital and engineering consulting firm.
Applied use cases
Top Applications of Graph Neural Networks 2021
Similarly, Pinterest proposed PinSage model that efficiently samples neighborhoods using personalized PageRank and efficiently updates node embeddings by aggregation in each neighborhood.
Exploring hyperparameter meta-loss landscapes with Jax
These complex loss landscape can emerge from iterative computation such as common optimization procedures for machine learning [1, 2, 3]. To make things fast, Jax offers a just-in-time compiler (jit) which compiles your functions to run on CPU, GPU, and TPU.
How Edge Impulse is looking to empower developers with embedded machine learning
His company Sensinode, which was acquired by Arm in 2013, provided enterprise wireless sensor networks to system integrators and product providers.
Ethics
Artificial Intelligence: The Class Struggle’s Next Frontier
It’s also the focus of the first annual ‘International Conference on AI in Work, Innovation, Productivity and Skills’, a conference organised by the OECD, a powerful intergovernmental organisation made up predominantly of rich countries and intent on finding ways to ratchet economic growth.
Tech and Ethics: The World Economic Forum’s Kay Firth-Butterfield on Doing the Right Thing in AI
In 2017, Kay became head of AI and machine learning at the World Economic Forum, where her team develops tools and on-the-ground programs to improve AI understanding and governance across the globe.
The best books on The Philosophy of Information
The Oxford professor of philosophy and 'the ethics of information' says methods for discussing the ethics of information technology have been latent in philosophy from its origins. He picks the best books on the philosophy of information.
Robotics
How shadows can help robots understand human touch
Instead, a USB camera located inside the robot captures the shadow movements of hand gestures on the robot’s skin and classifies them with machine-learning software. The group published a paper on the research called “ShadowSense: Detecting Human Touch in a Social Robot Using Shadow Image...
Artificial feathers give flight to robotic birds
Festo presents its new bionic project “BionicSwift” Thanks to radio-based indoor GPS with ultra-wideband technology (UWB) the BionicSwifts can fly safely and in a coordinated pattern in a defined a…
Fabricating fully functional drones
A group from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) recently developed a new system to print functional, custom-made devices and robots, without human intervention.
Research
PwC Newsletter #4
In this edition, we cover: the latest progress in self-attention vision models 🏞, an efficient CapsNet architecture based on self-attention routing 👁, a unified framework for vision-and-language learning 🔮, Dataset feature release!
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention
A key component that drives the impressive performance of Transformers is the self-attention mechanism that encodes the influence or dependence of other tokens on each specific token.
Microsoft Research Conversations in STEM Future Horizons of Science
If you agree with Arthur C. Clarke that the only way to discover the limits of the possible is to venture a little way past them into the impossible, you’ll be delighted to join us for a live Q&A conversation about venturing past the possible and into new horizons of technical innovation featuring...