Skip to content
EE Times Current cover art

All Episodes

EE Times Current — 278 episodes · page 1 of 3

#
Title
1

Beyond PPA: How Foundation IP Enables Predictable Execution and Lower TCO for AI-Era SoCs

2

Why Computing With Time Gives Neuromorphic AI an Edge

3

Where Software Meets Silicon: A Digital Twin Playbook

4

Trust at Scale: The Next Challenge for AI-Driven Semiconductor Development

5

Do Spikes Need Common Language for Sensing and Learning?

6

Designing the AI Factory from the Rack Up

7

Beyond Automation: Self-Verifying AI Agents for Semiconductor and PCB Design

8

Can Great Sky’s Light-Connected AI Enable Bigger Brains?

9

Under the Hood of Intelligent Systems

10

Will Photonics Loosen the Bottlenecks in Neural Systems?

11

When AI Gets a Body: Physical AI, Humanoids and the Future of Silicon

12

Zonal Power: 48V Architectures for the Software Defined Vehicle

13

Fixing AI’s Bottlenecks: Memory, Scale, and Sparsity

14

Can the Nvidia Monopoly on AI Chips Be Broken?

15

Automated Multiphysics for 3D IC Success

16

Neuromorphic Spikes Unify Control and Decision Making

17

Chips at the Edge: Innovation for AI at Edge and Automotive

18

Green Always-On Sensing with Neuronova’s Sub-μwatt Chip?

19

An Architecture for Building Brains from Top to Bottom?

20

Tracking & Locationing Technologies from Renesas

21

The State of Multi-Die: Insights and Customer Requirements

22

Artificial Hearing: From Ear Drums to Tuning Forks

23

Calibre Directions in Artificial Intelligence

24

A Theoretical Framework for Neuromorphic Technology?

25

Neurons Close the Loop from Insect Perception to Action

26

Accelerating Complex Analog IC Design: The Power of Early Reliability Verification

27

Can Neuromorphic Be Low-Power, Reconfigurable, and Scalable?

28

Event-Driven E-Skins Protect Both Robots and Humans

29

Event-Driven E-Skins Protect Both Robots and Humans

30

Digital Prototypes May Enable Analog Neuromorphic Chips

31

The State of Multi-Die Testing: Essential Insights for Designers

32

IBM Used Mathematics as Compass on Journey to NorthPole

33

Rippling Signals May Provide Working Memory in the Brain

34

Making Analog Chip Designs Without Analog Designers

35

BrainChip’s IP for Targeting AI Applications at the Edge

36

Robots Need Physical, Not Just Artificial, Intelligence

37

A Shift Left Strategy Addresses IC Design Challenges Through Design-Stage Verification

38

Embracing the Efficiency of the Neuromorphic Hairball

39

Chip Combines Analog and Digital Neurons for Sensor Data

40

Get Powered by Renesas: Leading Solutions in Automotive and Industrial Applications

41

Carver Mead Says Neuromorphic Efficiency Can Help AI

42

How AI is Changing Every Aspect of EDA

43

Leveraging Safety Processor Expertise to Develop RISC-V Based Automotive Implementations

44

Next-Gen Neuromorphic Researchers Look to Future

45

Preparing for CRA and Open-Source Silicon Security

46

SynSense Research Head Talks Combined Sensing, Processing

47

AI inferencing, Software Ecosystems and Trends in Industrial Automation

48

Half-Human–Scale SpiNNaker 2 Machine on Cloud in 2024

49

Bio-Inspired Networks to Interface with Nervous System

50

Choosing the Right Technologies for Hybrid AI Chips

51

How 1.6T Ethernet will Enable the World's Fastest Datacenters

52

Why Sound Processing Takes Time, Not Just Frequency

53

Helping Spiking Neural Networks Can Learn to Learn

54

Giving the Humanoid iCub Embodied, Neuromorphic Vision

55

Tobi Delbrück Talks Caltech, Cameras, and Neural Control

56

Ferroelectric Memristors and Exotic Materials to Drive AI

57

Perceiving Touch With Event-Based Neuromorphic Computing

58

PowerUP Energy: The Future with Renewable Energies

59

How Memristors Will Help Machines Think at Different Timescales

60

ARM Inventor Steve Furber on SpiNNaker 1, 2, and Beyond

61

Innovation Under the Hood - Part 2

62

Innovation Under the Hood

63

How to See 'Where' Through Low-Power Event Cameras

64

AI and Connectivity at the Edge and Endpoint

65

Seeing Robotics and Machine Vision as Dynamical Systems

66

Building Brain-Like Systems from Sub-Threshold Electronics

67

Understanding Real Brains with Robotic Rats, and Vice Versa

68

MES & Industry 4.0 Summit: Discovering the Future of Smart Manufacturing

69

On-Chip Learning is Missing Neuromorphic Building Block

70

André van Schaik Discusses New Neuromorphic Simulator

71

Electro Soft CEO Karla Trotman, on Reaching the Top

72

Silicon 100: Startups Worth Watching in 2023

73

Special Report: Enabling the Factory of 2030

74

How FIT is GaN?

75

5G mmWave Networks: How Far Have We Reached?

76

Special Report: What RF Wireless Needs Now

77

Global Silicon Startups Contest Catalyzes Deep Tech Innovation

78

Security for SoC Interfaces Takes Center Stage in Data Protection

79

Reducing Energy Consumed By Household Appliances

80

Demystifying AI: How Neural Networks Like Transformers Really Work

81

800Gs Finally Breaking Out and Benefits of Solution

82

"A Turning Point for AVs" - A Special Report

83

The Impact of UCIe on Multi-Die Systems

84

Embedded World 2023 Recap

85

Transforming Compute Possibilities with Multi-Die Systems

86

Wide bandgap Semiconductors for EVs

87

Embedded Trends for a Connected World

88

The State of Analog Design in 2023

89

Education Panel: How to Expand the Semiconductor Industry Talent Pool

90

Why You Should Crush Your Beer Fridge and Other Appliances

91

A Distributor’s Role in Supporting Technologies at the Forefront of Power Electronics Megatrends

92

AI at the Edge – Myth or Reality

93

An All Inclusive Journey to HPC/Data Center Silicon Success

94

Words to the Wise with Sally Ward-Foxton

95

Improving PCB Structural Design and Reliability through Numerical Simulation

96

Meet EETimes New Editor in Chief Brett Brune

97

Un-Discovering Fire: Rethinking Energy and Efficiency

98

Reimagining the vehicle of the future

99

CEO Interview: Phil McKinney of Cablelabs – Lightning in a Bottle

100

Conversation with IEEE Medal of Honor Recipient Asad Madni