Interviews - TechTalks

The cash flow conundrum: How technology is reshaping small business finance

Contributor — Thu, 22 Aug 2024 13:07:42 +0000

Late payments and invoice management are big challenges. Read about how payment platform Accru is addressing these challenges.

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What to know about the security of open-source machine learning models

Ben Dickson — Mon, 08 Apr 2024 16:41:37 +0000

Greg Ellis, GM of Application Security at Digital.ai, delves into the evolving landscape of machine learning security.

The post What to know about the security of open-source machine learning models first appeared on TechTalks.

Understanding the impact of open-source language models

Ben Dickson — Mon, 29 May 2023 13:00:00 +0000

Cerebras Systems CEO Andrew Feldman explains the impact of open-source large language models (LLM) on the broader AI community.

The post Understanding the impact of open-source language models first appeared on TechTalks.

What we learned from the deep learning revolution

Ben Dickson — Mon, 10 Apr 2023 13:00:00 +0000

Neuroscientist Terry Sejnowski discusses the early struggles of deep learning, its explosion into the mainstream, and the lessons learned from decades of research and development.

The post What we learned from the deep learning revolution first appeared on TechTalks.

AI21 Labs’ mission to make large language models get their facts right

Ben Dickson — Mon, 30 Jan 2023 14:00:00 +0000

AI21 Labs chief scientist Yoav Levine explains how retrieval augmented language modeling can solve one of the biggest problems of LLMs.

The post AI21 Labs’ mission to make large language models get their facts right first appeared on TechTalks.

Democratizing the hardware side of large language models

Ben Dickson — Mon, 01 Aug 2022 13:00:00 +0000

Cerebras CEO Andrew Feldman discusses the hardware challenges of LLMs and his vision to reduce the costs and complexity of training and running large neural networks.

The post Democratizing the hardware side of large language models first appeared on TechTalks.

A gentle introduction to model-free and model-based reinforcement learning

Ben Dickson — Mon, 13 Jun 2022 13:00:00 +0000

Neuroscientist Daeyeol Lee discusses different modes of reinforcement learning in humans and animals, AI and natural intelligence, and future directions of research.

The post A gentle introduction to model-free and model-based reinforcement learning first appeared on TechTalks.

DataRobot’s vision to democratize machine learning with no-code AI

Ben Dickson — Mon, 28 Mar 2022 12:58:08 +0000

Nenshad Bardoliwalla, chief product officer at DataRobot, discusses challenges machine learning in different sectors and how no-code platforms are helping democratize AI.

The post DataRobot’s vision to democratize machine learning with no-code AI first appeared on TechTalks.

Inside Mailchimp’s push to bring AI to content marketing

Ben Dickson — Mon, 18 Oct 2021 13:00:00 +0000

Mailchimp has released a new AI tool to provide recommendations for email marketing campaigns. It might be its most impactful foray into AI content marketing.

The post Inside Mailchimp’s push to bring AI to content marketing first appeared on TechTalks.

Abductive inference: The blind spot of artificial intelligence

Ben Dickson — Mon, 20 Sep 2021 13:00:00 +0000

In his book, "The Myth of Artificial Intelligence," computer scientist Erik Larson discusses how widely publicized misconceptions have led AI research down narrow paths that are limiting innovation and scientific discoveries.

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What AI researchers can learn from the self-assembling brain

Ben Dickson — Mon, 16 Aug 2021 13:00:00 +0000

The Self-Assembling Brain, a book by neurobiology professor Peter Robin Hiesinger, sheds light on a largely ignored aspect of intelligence.

The post What AI researchers can learn from the self-assembling brain first appeared on TechTalks.

Machine learning security needs new perspectives and incentives

Ben Dickson — Thu, 03 Jun 2021 13:00:00 +0000

Researchers at the University of Maryland discuss why security must be part of the machine learning research process.

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Understanding the differences between biological and computer vision

Ben Dickson — Mon, 10 May 2021 13:00:00 +0000

Harvard Medical University Professor Gabriel Kreiman discusses biological and computer vision and explains what separates current AI systems from the human visual cortex.

The post Understanding the differences between biological and computer vision first appeared on TechTalks.

Why end-to-end encryption is a must-have for enterprises

Ben Dickson — Thu, 25 Mar 2021 14:00:00 +0000

If you’ve been following technology news, you’ve probably heard of end-to-end encryption. It’s the technology that makes sure the data you send—whether it’s a file, an email, or a text message—will only be accessible to its intended recipients. To malicious actors monitoring, internet service providers, and government agencies, end-to-end encrypted data will appear as indecipherable […]

The post Why end-to-end encryption is a must-have for enterprises first appeared on TechTalks.

Meeting the challenges of AI in health care

Ben Dickson — Wed, 17 Feb 2021 14:00:00 +0000

Philips's Tina Manoharan on AI research in health care and the challenges of applying AI in real-world health applications.

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Is neuroscience the key to protecting AI from adversarial attacks?

Ben Dickson — Mon, 07 Dec 2020 14:00:00 +0000

Neuroscience-inspired deep learning architectures are more resilient to adversarial attacks, researchers at MIT and IBM have found.

The post Is neuroscience the key to protecting AI from adversarial attacks? first appeared on TechTalks.

Will artificial intelligence have a conscience?

Ben Dickson — Mon, 28 Sep 2020 13:00:00 +0000

Does artificial intelligence require moral values? We spoke to Patricia Churchland, neurophilosopher and author of "Conscience: The Origins of Moral Intuition"

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How artificial intelligence and robotics are changing chemical research

Ben Dickson — Mon, 31 Aug 2020 12:40:48 +0000

The team behind IBM's RoboRXN platform explains how AI, robotics, and the cloud can change the future of drug and chemicals research.

The post How artificial intelligence and robotics are changing chemical research first appeared on TechTalks.

GoPractice Simulator: A unique way to learn product management

Ben Dickson — Mon, 14 Oct 2019 13:00:59 +0000

GoPractice CEO and founder Oleg Yakubenkov discusses how he created a unique product management simulator course.

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Yubico’s 12-year quest to secure online accounts

Ben Dickson — Tue, 17 Sep 2019 13:00:07 +0000

Stina Ehrensvard, CEO and co-founder of Yubico, explains how the authentication space has evolved in the past 12 years.

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Deep Medicine: How AI will transform the doctor-patient relationship

Ben Dickson — Tue, 27 Aug 2019 13:00:47 +0000

Artificial intelligence provides a unique opportunity to give back the gift of time to doctors and patients.

The post Deep Medicine: How AI will transform the doctor-patient relationship first appeared on TechTalks.

Augmented Mind: Why we need a different perspective on AI

Ben Dickson — Mon, 15 Jul 2019 13:00:15 +0000

In his book Augmented Mind, Alex Bates argues that the real opportunities of AI lie in augmenting humans, not replacing them.

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Robust AI: Protecting neural networks against adversarial attacks

Ben Dickson — Wed, 20 Feb 2019 14:00:24 +0000

Deep learning and neural networks are becoming increasingly accurate at performing complicated tasks. But are they robust as well. Researchers at MIT-IBM Watson AI Lab have developed methods to evaluate the robustness of neural networks against adversarial examples.

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Inside DARPA’s effort to create explainable artificial intelligence

Ben Dickson — Thu, 10 Jan 2019 14:00:35 +0000

DARPA's XAI initiative aims to shed light inside the black box of artificial intelligence algorithms. Project Manager Dave Gunning explains how the agency is working to create explainable AI tools that will build trust and reliability into AI models.

The post Inside DARPA’s effort to create explainable artificial intelligence first appeared on TechTalks.

Explainable AI: Interpreting the neuron soup of deep learning

Ben Dickson — Mon, 15 Oct 2018 13:00:49 +0000

Boston University's Kate Saenko discusses explainable AI and interpreting decisions made by deep learning algorithms and neural networks.

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How do you authenticate and connect billions of IoT devices?

Ben Dickson — Wed, 01 Aug 2018 13:00:44 +0000

Alex Momot, Founder and CEO of REMME, shares insights on the opportunities and challenges of IoT and which direction the industry should take.

The post How do you authenticate and connect billions of IoT devices? first appeared on TechTalks.

Ruiz: Democratizing artificial intelligence and deep learning

Ben Dickson — Mon, 09 Apr 2018 13:00:47 +0000

AI will transform our world and the businesses leading the future, but only if it is easily accessible to everyone

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Kaufmann: Cracking the brain code and creating true AI

Ben Dickson — Thu, 21 Dec 2017 14:00:02 +0000

Kaufmann, cofounder of Starmind, talks about the current progress of artificial intelligence, how the human brain works and what it takes to create human-grade AI.

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Rob High: The future of AI-powered chatbots

Ben Dickson — Mon, 21 Aug 2017 15:02:39 +0000

IBM Watson's CTO describes the opportunities, prospects and challenges that lie ahead for artificial intelligence–powered chatbots

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Kuperman: home and IoT security will lead the way in the next generation of cybersecurity advances

Ben Dickson — Mon, 17 Jul 2017 20:04:14 +0000

Unfortunately, it is fair to say that the vulnerabilities of Internet of Things (IoT) are preceding its innovations and utilities. From the hacking of the Ukraine power grid, to last year’s DDoS attack against the Dyn DNS provider, IoT devices are behind security incidents of all sizes. The IoT industry is exposing how putting connectivity […]

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Rose: AI needs greater representation from the humanities

Ben Dickson — Thu, 18 May 2017 14:41:22 +0000

As Artificial Intelligence evolves from myth and buzzword into a reality that permeates every aspect of our lives, much speculation is made over what the future challenges will be. Among them is the effect of Artificial Intelligence on employment, or specifically how it will displace jobs and the workforce. Many of the jobs that are […]

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Zeltser: How to meet future cybersecurity challenges

Ben Dickson — Mon, 13 Feb 2017 22:21:02 +0000

Cybersecurity is one of the most fluid and changing fields of the tech industry. Every year, new threats and challenges emerge, outpacing past records and expectations. In this respect 2016 was no different. But as online services become more and more prominent and critical to our daily lives and businesses, being able to respond to […]

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