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AI Chip Strikes Down the von Neumann Bottleneck With In-Memory Neural Net Processing

AI Chip Strikes Down the von Neumann Bottleneck With In-Memory Neural Net Processing

The von Neumann Architecture, which has been a staple in computer architecture, may soon find itself less useful in the world of artificial intelligence.


News Jul 10, 2020 by Jake Hertz
FPGA Roundup: New Contenders Hone in on Memory, Size, Power, and Even AI

FPGA Roundup: New Contenders Hone in on Memory, Size, Power, and Even AI

Three newly-released FPGAs can tell us a lot about the direction of these devices in the industry.


News Jul 02, 2020 by Dr. Steve Arar
A New Method to Generate Data for Training Autonomous Vehicles

A New Method to Generate Data for Training Autonomous Vehicles

Carnegie Mellon University researchers have developed a new technique for generating more data, which could be used to train autonomous vehicles tracking systems more efficiently.


News Jun 29, 2020 by Luke James
Improving Fuel Cell Efficiency Through Machine Learning Techniques

Improving Fuel Cell Efficiency Through Machine Learning Techniques

Better fuel cells and lithium-ion batteries will be made possible by greater knowledge of electrode microstructure.


News Jun 27, 2020 by Gary Elinoff
Ampere’s 128-Core Processor Challenges Intel and AMD in a Cloud-Based Processor Showdown

Ampere’s 128-Core Processor Challenges Intel and AMD in a Cloud-Based Processor Showdown

Intel and AMD have historically been the leaders of data-intensive processors. But now, Ampere's Altra Max 128-core processor may beat out the two in managing data center workloads.


AI-Accelerating Software Gives FPGAs a Leg Up on GPUs

AI-Accelerating Software Gives FPGAs a Leg Up on GPUs

Xilinx recently tapped a startup for its AI accelerating software platform. In what ways might this platform add extra benefits for FPGAs in contrast to GPUs?


News Jun 25, 2020 by Jake Hertz
Designing the Next Generation of Energy Efficient AI Devices with Spiraling Circuits

Designing the Next Generation of Energy Efficient AI Devices with Spiraling Circuits

Machine learning allows computers to be “trained” using data, enabling better and more precise predictions regarding a given outcome.


News Jun 25, 2020 by Luke James
Qualcomm Puts AI and 5G in the Hands of Robotics Designers

Qualcomm Puts AI and 5G in the Hands of Robotics Designers

Surging 15 trillion operations per second, Qualcomm’s RB5 platform is bringing AI and deep learning workloads to the edge of robotics.


News Jun 23, 2020 by Nicholas St. John
Intel’s AI Portfolio Shows How Designs Must Gear Up for Real-Time Processing

Intel’s AI Portfolio Shows How Designs Must Gear Up for Real-Time Processing

With processing demands on data centers higher than ever before, designers should be aware of how hardware- (and software-) based AI may have increasing prominence in their designs.


News Jun 22, 2020 by Adrian Gibbons
Nokia Taps Three Major Chip Vendors for Customized 5G Chipset

Nokia Taps Three Major Chip Vendors for Customized 5G Chipset

With 5G around the corner, Nokia is boosting SoC processing power and intelligence with the help of Broadcom, Marvell, and Intel.


News Jun 17, 2020 by Gary Elinoff
AI Sensor System Demonstrates New Methods of Collecting Data

AI Sensor System Demonstrates New Methods of Collecting Data

A new AI-enabled sensor system for measuring staff comfort levels and workplace concentration could help employers make the most out of flexible, open-plan office spaces and “hot desking”.


News Jun 13, 2020 by Luke James
A New Bat-Like Sensor Captures Images Using Echolocation

A New Bat-Like Sensor Captures Images Using Echolocation

What does IMERAI’s new sensor have in common with bats, dolphins, and whales? Echolocation.


Researchers Enhance Natural Movement in Robotics Using AI

Researchers Enhance Natural Movement in Robotics Using AI

Those using robotic prosthetics could soon move more naturally following the development and integration of AI-backed technologies by U.S. researchers.


News Jun 04, 2020 by Luke James
The Essential Sensors Improving the Accuracy and Reliability of Surgical Robots

The Essential Sensors Improving the Accuracy and Reliability of Surgical Robots

Although robots may one day be omnipresent in operating theatres, speaking to AAC, EU Automation’s Mark Howard says that we are still “years away” from seeing this.


News Jun 03, 2020 by Luke James
Arm Ramps Up 5G Portfolio With New CPUs, GPUs, and NPUs

Arm Ramps Up 5G Portfolio With New CPUs, GPUs, and NPUs

With an eye on 5G at the hardware level, Arm is attracting notice from Facebook, Snapchat, Google, and Netflix.


TinyML: When Small IoT Devices Call for Compressed Machine Learning

TinyML: When Small IoT Devices Call for Compressed Machine Learning

Machine learning on small IoT devices presents several challenges to designers: power consumption, latency, and accuracy.


News May 27, 2020 by Vanessa Samuel
The Watson AI Lab Funds 10 COVID-19 Research Projects

The Watson AI Lab Funds 10 COVID-19 Research Projects

MIT has taken a proactive approach to the COVID-19 crisis, developing medical devices, contact tracing apps, and now, AI-based solutions to provide relief.


News May 21, 2020 by Robin Mitchell
COVID-19 Puts Spotlight on Open-Source RISC-V Cores, IP

COVID-19 Puts Spotlight on Open-Source RISC-V Cores, IP

Remote work during this pandemic has shed light anew on the virtues of RISC-V, which has just gotten more accessible.


Developing New Hardware That Meets the Energy Demands of AI Applications

Developing New Hardware That Meets the Energy Demands of AI Applications

Artificial intelligence is becoming more commonplace in electronic devices, but many of its applications require lots of energy.


News May 14, 2020 by Luke James
Is Machine Learning for Tumor Research at Odds With Patient Privacy? Not With Federated Learning, Intel Says

Is Machine Learning for Tumor Research at Odds With Patient Privacy? Not With Federated Learning, Intel Says

Intel Labs and Penn Medicine may have overcome the conundrum of respecting HIPAA laws while inputting valuable patient data in machine learning models for cancer research.


News May 13, 2020 by Tyler Charboneau