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Connecting & enabling a smarter planet — alistair fulton, VP, wireless & sensing products, semtech.


Alistair Fulton (https://www.semtech.com/company/executive-leadership/alistair-fulton) is the Vice President and General Manager of Semtech’s Wireless and Sensing Products Group.

Semtech Corporation is a supplier of analog and mixed-signal semiconductors and advanced algorithms for consumer, enterprise computing, communications and industrial end-markets. It has 32 locations in 15 countries in North America, Europe, and Asia.

Delivering what has been so challenging to produce, researchers present an engineered analog of tooth enamel – an ideal model for designing biomimetic materials – designed to closely mimic the composition and structure of biological teeth’s hard mineralized outer layer. It demonstrates exceptional mechanical properties, they say.

Natural tooth enamel – the thin outer layer of our teeth – is the hardest biological material in the human body. It is renowned for its high stiffness, hardness, viscoelasticity, strength, and toughness and exhibits exceptional damage resistance, despite being only several millimeters thick.

Tooth enamel’s unusual combination of properties is a product of its hierarchical architecture – a complex structure made up of mostly hydroxyapatite nanowires interconnected by an amorphous intergranular phase (AIP) consisting of magnesium-substituted amorphous calcium phosphate. However, accurately replicating this type of hierarchical organization in a scalable abiotic composite has remained a challenge.

Machine learning can work wonders, but it’s only one tool among many.

Artificial intelligence is among the most poorly understood technologies of the modern era. To many, AI exists as both a tangible but ill-defined reality of the here and now and an unrealized dream of the future, a marvel of human ingenuity, as exciting as it is opaque.

It’s this indistinct picture of both what the technology is and what it can do that might engender a look of uncertainty on someone’s face when asked the question, “Can AI solve climate change?” “Well,” we think, “it must be able to do *something*,” while entirely unsure of just how algorithms are meant to pull us back from the ecological brink.

Such ambivalence is understandable. The question is loaded, faulty in its assumptions, and more than a little misleading. It is a vital one, however, and the basic premise of utilizing one of the most powerful tools humanity has ever built to address the most existential threat it has ever faced is one that warrants our genuine attention.

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Using an automatically-operated clutch.

New patent filings from Ford outline a design for a new type of manual box that only uses hand inputs and doesn’t require a clutch pedal to shift, a report from *The Drive* reveals.

With its new design, Ford aims to remove some of the negative associations drivers have with manual transmission vehicles, which has led some big automakers, such as Mercedes-Benz, to announce they will stop producing stick shift cars. ## An easier way to shift gears.

The patent, for a manual transmission with [an] electric clutch\.


Overall, the results indicate that failure-oriented people are more likely to make poor health choices, presumably due to a lack of proper motivation. When looking at the cause of death for each author, results also showed a strong link between failure motivation and whether or not the death could be considered preventable.

As we can see from this study and many other similar studies, people who expect failure are generally less effective in maintaining good health habits. On the other hand, a positive outlook can play a powerful role in our health decisions. Healthy behaviors include regular exercise, good nutrition, an active lifestyle, and full compliance with medical advice., all of which require strong motivation to ensure we stay the course. A positive mindset also makes us avoid unhealthy activities such as drinking, smoking, and prolonged inactivity. People who develop a failure mindset, whether due to health setbacks, hopelessness, or a general sense of fatalism, often make lifestyle decisions that can undermine their overall health and, as a result, their longevity.

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We often look at our parents and grandparents to predict how long we are going to live and how fast we are going to age. But technology is not standing still and you may benefit from adjusting your longevity expectations and developing a longevity mindset.

We’ve all likely had our share of car crashes over the years. Let’s trace the various published research underlying a somewhat simple but altogether crucial question, namely if you know that a crash is about to occur should you go limp or attempt to tighten and brace yourself. Turns out that the answer is complicated and often dependent upon the circumstances at hand. First, there is a popular assumption that you ought to let your body go loose or limp when an impending car crash is about to occur. Some claim that this ragdoll posturing will be advantageous. The purported logic is that we all know that a straight and narrow stick will presumably break and snap entirely when placed under intense pressure. As such, if you tense up, you are risking all manner of personal bodily damage. According to the sage wisdom of Confucius: “The reed which bends in the wind is stronger than the mighty oak which breaks in a storm.”

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Quick, you are inside a self-driving car and it is about to get embroiled in a car crash, what should you do? And what should the AI driving system do? Tough questions, for sure.

The AI revolution is here. Machine learning (ML) and artificial intelligence are used in virtually every industry today to revolutionize everything from reducing food waste to achieving better health outcomes. In all, IDC forecasts that global enterprise spending on AI will eclipse $204 billion by 2025.

Unfortunately, investments in needed infrastructure may not be keeping pace. Many enterprises are shipping AI blind or relying on outdated model monitoring approaches to catch issues with models in production.

In order to understand the scope of the problem and provide insights on potential solutions, Arize AI recently conducted a survey of 945 data scientists, engineers, executives, and others in the industry. The results speak to a distinct need for better tools to quickly visualize where and why problems are emerging and enable faster root cause analysis when models fail.